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Franck Cappello

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affiliation: University of Illinois, INRIA-Illinois Joint Laboratory on PetaScale Computing

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2020 – today

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2025
[j72]
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Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025)
2024
[j71]
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Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data 2(1): 4:1-4:27 (2024)
[c227]
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  - conf/cluster/WuDZ0HJDDWCC24
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Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello:
FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance. CLUSTER 2024: 322-334
[c226]
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Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello:
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. EuroSys 2024: 981-998
[c225]
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Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. FlexScience@HPDC 2024: 9-16
[c224]
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Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
A Portable, Fast, DCT-based Compressor for AI Accelerators. HPDC 2024: 109-121
[c223]
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Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. HPDC 2024: 227-239
[c222]
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Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello:
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC 2024: 309-321
[c221]
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Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. ICDCS 2024: 577-588
[c220]
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Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo:
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. ICDE 2024: 4979-4992
[c219]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448
[c218]
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Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello:
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS 2024: 417-429
[c217]
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Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello:
Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. IPDPS 2024: 582-594
[c216]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS 2024: 752-764
[c215]
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Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) 2024: 1187-1188
[c214]
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Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae:
Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. Middleware 2024: 392-403
[c213]
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Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. Middleware 2024: 404-416
[c212]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456
[c211]
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Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. SC 2024: 13
[c210]
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Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello:
cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. SC 2024: 15
[c209]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. SC 2024: 104
[i54]
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  - journals/corr/abs-2403-15953
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Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR abs/2403.15953 (2024)
[i53]
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  - journals/corr/abs-2404-02840
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Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024)
[i52]
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  - journals/corr/abs-2405-02520
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Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello:
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. CoRR abs/2405.02520 (2024)
[i51]
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  - journals/corr/abs-2406-10707
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Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. CoRR abs/2406.10707 (2024)
[i50]
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  - journals/corr/abs-2406-10728
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Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. CoRR abs/2406.10728 (2024)
[i49]
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  - journals/corr/abs-2408-01391
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Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello:
FT K-means: A High-Performance K-means on GPU with Fault Tolerance. CoRR abs/2408.01391 (2024)
[i48]
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  - journals/corr/abs-2408-11971
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Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. CoRR abs/2408.11971 (2024)
[i47]
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  - journals/corr/abs-2409-15468
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Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt:
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. CoRR abs/2409.15468 (2024)
[i46]
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  - journals/corr/abs-2410-11142
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Shixun Wu, Krishnan Raghavan, Sheng Di, Zizhong Chen, Franck Cappello:
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership. CoRR abs/2410.11142 (2024)
[i45]
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  - journals/corr/abs-2410-21316
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Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading. CoRR abs/2410.21316 (2024)
[i44]
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  - journals/corr/abs-2410-23497
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Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello:
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. CoRR abs/2410.23497 (2024)
[i43]
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  - journals/corr/abs-2411-00761
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Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao:
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. CoRR abs/2411.00761 (2024)
2023
[j70]
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Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-box statistical prediction of lossy compression ratios for scientific data. Int. J. High Perform. Comput. Appl. 37(3-4): 412-433 (2023)
[j69]
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Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 9(2): 485-498 (2023)
[j68]
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Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo:
Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. 29(12): 5434-5450 (2023)
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  - conf/bigdataconf/LiuDJZLCC23
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Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. IEEE Big Data 2023: 229-236
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Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello:
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. IEEE Big Data 2023: 4233-4239
[c206]
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  - conf/ccgrid/HuangZDLDTC23
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Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello:
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. CCGrid 2023: 651-661
[c205]
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Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49
[c204]
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  - conf/cluster/GanguliUBKCDC23
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Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. CLUSTER 2023: 247-258
[c203]
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  - conf/dsn/AlharthiJDGCM23
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Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith:
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. DSN 2023: 508-521
[c202]
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Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello:
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC 2023: 117-126
[c201]
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Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142
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Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello:
Towards Efficient I/O Pipelines Using Accumulated Compression. HiPC 2023: 256-265
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Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae:
GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. HPDC 2023: 73-85
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC 2023: 129-142
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Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS 2023: 703-713
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Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello:
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. ICDE 2023: 1461-1474
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Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae:
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP 2023: 665-674
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Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS 2023: 1-13
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Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello:
Lightweight Huffman Coding for Efficient GPU Compression. ICS 2023: 99-110
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello:
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. ICS 2023: 348-359
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Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello:
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS 2023: 757-767
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Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello:
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC 2023: 43:1-43:13
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Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15
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Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello:
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. SC Workshops 2023: 272-280
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Kazutomo Yoshii, Tomohiro Ueno, Kentaro Sano, Antonino Miceli, Franck Cappello:
Streaming Hardware Compressor Generator Framework. SC Workshops 2023: 289-297
[i42]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR abs/2304.03890 (2023)
[i41]
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello:
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. CoRR abs/2304.07342 (2023)
[i40]
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Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. CoRR abs/2304.12557 (2023)
[i39]
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Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data. CoRR abs/2305.08801 (2023)
[i38]
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Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR abs/2307.05416 (2023)
[i37]
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Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR abs/2307.09609 (2023)
[i36]
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  - journals/corr/abs-2308-05199
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023)
[i35]
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  - journals/corr/abs-2309-04037
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Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR abs/2309.04037 (2023)
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Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR abs/2310.14133 (2023)
[i33]
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Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR abs/2311.12133 (2023)
[i32]
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  - journals/corr/abs-2312-05492
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Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2312.05492 (2023)
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Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. CoRR abs/2312.13461 (2023)
2022
[j67]
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Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. Proc. VLDB Endow. 16(4): 697-710 (2022)
[j66]
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Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. 33(10): 4440-4457 (2022)
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Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello:
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. IEEE Trans. Parallel Distributed Syst. 33(12): 3505-3519 (2022)
[c186]
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Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello:
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER 2022: 23-34
[c185]
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Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello:
Towards Efficient Cache Allocation for High-Frequency Checkpointing. HIPC 2022: 262-271
[c184]
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Franck Cappello:
A Reflection on Methodologies, Algorithms and Software for HPDC. HPDC 2022: 2
[c183]
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Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. HPDC 2022: 159-171
[c182]
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Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello:
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE 2022: 27-40
[c181]
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Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE 2022: 2494-2507
[c180]
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Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello:
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. ICS 2022: 35:1-35:14
[c179]
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Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. IPDPS 2022: 717-727
[c178]
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Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello:
Efficient Error-Bounded Lossy Compression for CPU Architectures. MASCOTS 2022: 89-96
[c177]
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Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Hardening selective protection across multiple program inputs for HPC applications. PPoPP 2022: 437-438
[c176]
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Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC 2022: 17:1-17:14
[c175]
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Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello:
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. SC 2022: 61:1-61:15
[c174]
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Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC 2022: 62:1-62:15
[c173]
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Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello:
Understanding the Effects of Modern Compressors on the Community Earth Science Model. DRBSD@SC 2022: 1-10
[c172]
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Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello:
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC 2022: 44-53
[i30]
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Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello:
SIMD Lossy Compression for Scientific Data. CoRR abs/2201.04614 (2022)
[i29]
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Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello:
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. CoRR abs/2201.09118 (2022)
[i28]
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Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. CoRR abs/2201.13020 (2022)
[i27]
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Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello:
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. CoRR abs/2206.11297 (2022)
[i26]
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Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello:
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. CoRR abs/2206.14761 (2022)
2021
[j64]
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Shu-Mei Tseng, Bogdan Nicolae, Franck Cappello, Aparna Chandramowlishwaran:
Demystifying asynchronous I/O Interference in HPC applications. Int. J. High Perform. Comput. Appl. 35(4) (2021)
[j63]
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Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021)
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Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. 32(7): 1677-1689 (2021)
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Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello:
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData 2021: 2986-2991
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Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog:
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER 2021: 82-93
[c169]
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Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER 2021: 283-293
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Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-based Error-bounded Compression for Scientific Data. CLUSTER 2021: 294-306
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Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello:
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. CLUSTER 2021: 307-319
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  - conf/dsn/AlharthiJDCC21
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Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah:
Sentiment Analysis based Error Detection for Large-Scale Systems. DSN 2021: 237-249
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Nicolas M. Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello:
Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par 2021: 451-465
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Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC 2021: 394-399
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Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello:
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC 2021: 1-7
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Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. ICDE 2021: 1643-1654
[c161]
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Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello:
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. IPDPS 2021: 881-891
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  - conf/mascots/MauryaNRTC21
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Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello:
Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS 2021: 1-8
[c159]
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Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello:
Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC 2021: 1-10
[c158]
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Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC 2021: 40-46
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David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. DRBSD@SC 2021: 47-53
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Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Resilient error-bounded lossy compressor for data transfer. SC 2021: 94
[i25]
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Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. CoRR abs/2101.03201 (2021)
[i24]
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  - journals/corr/abs-2103-02131
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Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn M. Mohror, Franck Cappello:
VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. CoRR abs/2103.02131 (2021)
[i23]
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  - journals/corr/abs-2105-11730
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Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. CoRR abs/2105.11730 (2021)
[i22]
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  - journals/corr/abs-2105-12912
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Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2105.12912 (2021)
[i21]
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  - journals/corr/abs-2111-02925
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Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR abs/2111.02925 (2021)
[i20]
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  - journals/corr/abs-2111-09815
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Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR abs/2111.09815 (2021)
[i19]
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  - journals/corr/abs-2112-02289
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Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith:
Towards Aggregated Asynchronous Checkpointing. CoRR abs/2112.02289 (2021)
2020
[j61]
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  - journals/tpds/ZouLXWZZDTC20
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Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello:
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. IEEE Trans. Parallel Distributed Syst. 31(7): 1665-1680 (2020)
[c155]
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  - conf/IEEEpact/TianDZRFUJLCTC20
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Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT 2020: 3-15
[c154]
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  - conf/apvis/LiangGDCRLOCP20
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Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka:
Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis 2020: 81-90
[c153]
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Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. IEEE BigData 2020: 2716-2724
[c152]
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  - conf/ccgrid/NicolaeLWBDC20
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Bogdan Nicolae, Jiali Li, Justin M. Wozniak, George Bosilca, Matthieu Dorier, Franck Cappello:
DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. CCGRID 2020: 172-181
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Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello:
DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. CLUSTER 2020: 226-236
[c150]
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Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. CLUSTER 2020: 326-336
[c149]
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Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. HPDC 2020: 89-100
[c148]
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Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. IPDPS 2020: 567-577
[c147]
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Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn M. Mohror:
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. IPDPS Workshops 2020: 1036-1043
[c146]
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Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello:
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. PPoPP 2020: 74-88
[c145]
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  - conf/smc2/CappelloDG20
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Franck Cappello, Sheng Di, Ali Murat Gok:
Fulfilling the Promises of Lossy Compression for Scientific Applications. SMC 2020: 99-116
[i18]
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  - journals/corr/abs-2001-06139
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Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. CoRR abs/2001.06139 (2020)
[i17]
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Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR abs/2003.12203 (2020)
[i16]
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  - journals/corr/abs-2007-09625
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Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR abs/2007.09625 (2020)
[i15]
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  - journals/corr/abs-2010-03144
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Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SDC Resilient Error-bounded Lossy Compressor. CoRR abs/2010.03144 (2020)
[i14]
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  - journals/corr/abs-2010-10039
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Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello:
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. CoRR abs/2010.10039 (2020)

2010 – 2019

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2019
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Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp:
Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. 33(2) (2019)
[j59]
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Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello:
Z-checker: A framework for assessing lossy compression of scientific data. Int. J. High Perform. Comput. Appl. 33(2) (2019)
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Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong:
Use cases of lossy compression for floating-point data in scientific data sets. Int. J. High Perform. Comput. Appl. 33(6) (2019)
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Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello:
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. IEEE Trans. Parallel Distributed Syst. 30(2): 331-345 (2019)
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Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello:
Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System. IEEE Trans. Parallel Distributed Syst. 30(2): 361-374 (2019)
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Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. IEEE Trans. Parallel Distributed Syst. 30(8): 1857-1871 (2019)
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Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello:
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER 2019: 1-11
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Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello:
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. DSN 2019: 473-484
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Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello:
Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. Euro-Par 2019: 47-60
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Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello:
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. HPDC 2019: 159-170
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Bogdan Nicolae, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Franck Cappello:
VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. IPDPS 2019: 911-920
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Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello:
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms. MSST 2019: 65-78
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Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello:
Significantly improving lossy compression quality based on an optimized hybrid prediction model. SC 2019: 33:1-33:26
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Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen:
FT-iSort: efficient fault tolerance for introsort. SC 2019: 71:1-71:17
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Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Full-state quantum circuit simulation by using data compression. SC 2019: 80:1-80:24
[i13]
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Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello:
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. CoRR abs/1901.09124 (2019)
2018
[j54]
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Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello:
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88: 191-198 (2018)
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Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov:
Big data and extreme-scale computing. Int. J. High Perform. Comput. Appl. 32(4): 435-479 (2018)
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Omer Subasi, Tatiana V. Martsinkevich, Ferad Zyulkyarov, Osman S. Unsal, Jesús Labarta, Franck Cappello:
Unified fault-tolerance framework for hybrid task-parallel message-passing applications. Int. J. High Perform. Comput. Appl. 32(5): 641-657 (2018)
[j51]
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Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun:
Coping with silent and fail-stop errors at scale by combining replication and checkpointing. J. Parallel Distributed Comput. 122: 209-225 (2018)
[j50]
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Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustain. Comput. Informatics Syst. 19: 277-290 (2018)
[j49]
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Sheng Di, Franck Cappello:
Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data. IEEE Trans. Parallel Distributed Syst. 29(1): 129-143 (2018)
[c135]
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Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData 2018: 428-437
[c134]
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Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello:
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData 2018: 438-447
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Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello:
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. CLUSTER 2018: 1-11
[c132]
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Chen Wang, Nikoli Dryden, Franck Cappello, Marc Snir:
Neural Network Based Silent Error Detector. CLUSTER 2018: 168-178
[c131]
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Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello:
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. CLUSTER 2018: 179-189
[c130]
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Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER 2018: 314-318
[c129]
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  - conf/eScience/ChoiCDKMSAACCDD18
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Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452
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Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello:
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis 2018: 91-100
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Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving performance of iterative methods by lossy checkponting. HPDC 2018: 52-65
[c126]
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Franck Cappello:
CEBDA 2018 Keynote. IPDPS Workshops 2018: 1205
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Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen:
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. LDAV 2018: 45-55
[i12]
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Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving Performance of Iterative Methods by Lossy Checkponting. CoRR abs/1804.11268 (2018)
[i11]
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Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CoRR abs/1805.07384 (2018)
[i10]
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Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. CoRR abs/1806.08901 (2018)
[i9]
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Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation. CoRR abs/1811.05140 (2018)
[i8]
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Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong:
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression. CoRR abs/1811.05630 (2018)
2017
[j48]
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Sheng Di, Yves Robert, Frédéric Vivien, Franck Cappello:
Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model. IEEE Trans. Parallel Distributed Syst. 28(1): 244-259 (2017)
[j47]
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Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello:
Toward General Software Level Silent Data Corruption Detection for Parallel Applications. IEEE Trans. Parallel Distributed Syst. 28(12): 3642-3655 (2017)
[c124]
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Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. IEEE BigData 2017: 486-493
[c123]
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  - conf/ccgrid/DiGSPC17
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Sheng Di, Rinku Gupta, Marc Snir, Eric Pershey, Franck Cappello:
LogAider: A tool for mining potential correlations of HPC log events. CCGrid 2017: 442-451
[c122]
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  - conf/cluster/GuhurCGPC17
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Pierre-Louis Guhur, Emil M. Constantinescu, Debojyoti Ghosh, Tom Peterka, Franck Cappello:
Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. CLUSTER 2017: 592-602
[c121]
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Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. CLUSTER 2017: 717-724
[c120]
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Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19
[c119]
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Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild:
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. Euro-Par Workshops 2017: 545-556
[c118]
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Zheming Jin, Hal Finkel, Kazutomo Yoshii, Franck Cappello:
Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. Euro-Par Workshops 2017: 664-675
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Yingyi Luo, Xianshan Wen, Kazutomo Yoshii, Seda Ogrenci Memik, Gokhan Memik, Hal Finkel, Franck Cappello:
Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. FPL 2017: 1-4
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Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun:
Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale. FTXS@HPDC 2017: 31-38
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Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. IPDPS 2017: 1129-1139
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Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. ISC Workshops 2017: 43-54
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Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. CoRR abs/1706.03791 (2017)
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Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. CoRR abs/1707.08205 (2017)
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Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello:
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data. CoRR abs/1707.09320 (2017)
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Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations. CoRR abs/1711.03888 (2017)
2016
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Hank Childs, Franck Cappello:
Preface: Visualization and data analytics for scientific discovery. Parallel Comput. 55: 1 (2016)
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Tom Peterka, Hadrien Croubois, Nan Li, Esteban Rangel, Franck Cappello:
Self-Adaptive Density Estimation of Particle Data. SIAM J. Sci. Comput. 38(5) (2016)
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Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, Leigh Orf:
Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations. ACM Trans. Parallel Comput. 3(3): 15:1-15:43 (2016)
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Sheng Di, Franck Cappello:
Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications. IEEE Trans. Parallel Distributed Syst. 27(10): 2809-2823 (2016)
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Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Ünsal, Jesús Labarta, Adrián Cristal, Franck Cappello:
Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. CCGrid 2016: 413-424
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Franck Cappello, George Bosilca:
DSN 2016 Tutorial: Resilience for Scientific Computing: From Theory to Practice. DSN Workshops 2016: 267
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Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello:
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. Euro-Par 2016: 419-430
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Pierre-Louis Guhur, Hong Zhang, Tom Peterka, Emil M. Constantinescu, Franck Cappello:
Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers. Euro-Par 2016: 644-656
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Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir:
Reducing Waste in Extreme Scale Systems through Introspective Analysis. IPDPS 2016: 212-221
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Sheng Di, Franck Cappello:
Fast Error-Bounded Lossy HPC Data Compression with SZ. IPDPS 2016: 730-739
2015
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Sheng Di, Franck Cappello:
GloudSim: Google trace based cloud simulator with virtual machines. Softw. Pract. Exp. 45(11): 1571-1590 (2015)
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Sheng Di, Eduardo Berrocal, Franck Cappello:
An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications. CCGRID 2015: 271-280
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Tatiana V. Martsinkevich, Omer Subasi, Osman S. Unsal, Franck Cappello, Jesús Labarta:
Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications. CLUSTER 2015: 563-570
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Leonardo Arturo Bautista-Gomez, Franck Cappello:
Detecting and Correcting Data Corruption in Stencil Applications through Multivariate Interpolation. CLUSTER 2015: 595-602
[c104]
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Swann Perarnau, Rajeev Thakur, Kamil Iskra, Ken Raffenetti, Franck Cappello, Rinku Gupta, Peter H. Beckman, Marc Snir, Henry Hoffmann, Martin Schulz, Barry Rountree:
Distributed Monitoring and Management of Exascale Systems in the Argo Project. DAIS 2015: 173-178
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Tatiana V. Martsinkevich, Thomas Ropars, Franck Cappello:
Addressing the Last Roadblock for Message Logging in HPC: Alleviating the Memory Requirement Using Dedicated Resources. Euro-Par Workshops 2015: 644-655
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Leonardo Arturo Bautista-Gomez, Franck Cappello:
Exploiting Spatial Smoothness in HPC Applications to Detect Silent Data Corruption. HPCC/CSS/ICESS 2015: 128-133
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Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello:
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. HPDC 2015: 275-278
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Ana Gainaru, Guillaume Aupy, Anne Benoit, Franck Cappello, Yves Robert, Marc Snir:
Scheduling the I/O of HPC Applications Under Congestion. IPDPS 2015: 1013-1022
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Leonardo Arturo Bautista-Gomez, Franck Cappello:
Detecting Silent Data Corruption for Extreme-Scale MPI Applications. EuroMPI 2015: 12:1-12:10
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Nathan DeBardeleben, Franck Cappello, Robert L. Clay:
Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, FTXS 2015, Portland, Oregon, USA, June 15, 2015. ACM 2015, ISBN 978-1-4503-3569-0 [contents]
2014
[j41]
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George Bosilca, Aurélien Bouteiller, Elisabeth Brunet, Franck Cappello, Jack J. Dongarra, Amina Guermouche, Thomas Hérault, Yves Robert, Frédéric Vivien, Dounia Zaidouni:
Unified model for assessing checkpointing protocols at extreme-scale. Concurr. Comput. Pract. Exp. 26(17): 2772-2791 (2014)
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Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V. Adve, Saurabh Bagchi, Pavan Balaji, James F. Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan DeBardeleben, Pedro C. Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson, Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd S. Munson, Rob Schreiber, Jon Stearley, Eric Van Hensbergen:
Addressing failures in exascale computing. Int. J. High Perform. Comput. Appl. 28(2): 129-173 (2014)
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Franck Cappello, Al Geist, William Gropp, Sanjay Kale, Bill Kramer, Marc Snir:
Toward Exascale Resilience: 2014 update. Supercomput. Front. Innov. 1(1): 5-28 (2014)
[j38]
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Sheng Di, Cho-Li Wang, Franck Cappello:
Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors. IEEE Trans. Cloud Comput. 2(2): 194-207 (2014)
[j37]
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Sheng Di, Derrick Kondo, Franck Cappello:
Characterizing and modeling cloud applications/jobs on a Google data center. J. Supercomput. 69(1): 139-160 (2014)
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Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland:
Energy-performance tradeoffs in multilevel checkpoint strategies. CLUSTER 2014: 278-279
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Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda:
GPGPUs: How to combine high computational power with high reliability. DATE 2014: 1-9
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Sheng Di, Mohamed-Slim Bouguerra, Leonardo Arturo Bautista-Gomez, Franck Cappello:
Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications. IPDPS 2014: 1181-1190
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Leonardo Arturo Bautista-Gomez, Franck Cappello:
Detecting silent data corruption through data dynamic monitoring for scientific applications. PPoPP 2014: 381-382
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Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland:
Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. PMBS@SC 2014: 249-263
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Sheng Di, Leonardo Arturo Bautista-Gomez, Franck Cappello:
Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. SC 2014: 907-918
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Beth Plale, Matei Ripeanu, Franck Cappello, Dongyan Xu:
The 23rd International Symposium on High-Performance Parallel and Distributed Computing, HPDC'14, Vancouver, BC, Canada - June 23 - 27, 2014. ACM 2014, ISBN 978-1-4503-2749-7 [contents]
2013
[j36]
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Gabriel Antoniu, Alexandru Costan, Julien Bigot, Frédéric Desprez, Gilles Fedak, Sylvain Gault, Christian Pérez, Anthony Simonet, Bing Tang, Christophe Blanchet, Raphael Terreux, Luc Bougé, François Briant, Franck Cappello, Kate Keahey, Bogdan Nicolae, Frédéric Suter:
Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures. Int. J. Cloud Comput. 2(2/3): 150-170 (2013)
[j35]
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Ana Gainaru, Franck Cappello, Marc Snir, William Kramer:
Failure prediction for HPC systems and applications: Current situation and open issues. Int. J. High Perform. Comput. Appl. 27(3): 273-282 (2013)
[j34]
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Bogdan Nicolae, Franck Cappello:
BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds. J. Parallel Distributed Comput. 73(5): 698-711 (2013)
[c92]
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Leonardo Arturo Bautista-Gomez, Franck Cappello:
Improving floating point compression through binary masks. IEEE BigData 2013: 326-331
[c91]
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Mohammed el Mehdi Diouri, Olivier Glück, Laurent Lefèvre, Franck Cappello:
ECOFIT: A Framework to Estimate Energy Consumption of Fault Tolerance Protocols for HPC Applications. CCGRID 2013: 522-529
[c90]
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Aurélien Bouteiller, Franck Cappello, Jack J. Dongarra, Amina Guermouche, Thomas Hérault, Yves Robert:
Multi-criteria Checkpointing Strategies: Response-Time versus Resource Utilization. Euro-Par 2013: 420-431
[c89]
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Bogdan Nicolae, Franck Cappello:
AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing. HPDC 2013: 155-166
[c88]
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Sheng Di, Derrick Kondo, Franck Cappello:
Characterizing Cloud Applications on a Google Data Center. ICPP 2013: 468-473
[c87]
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Franck Cappello, Wolfgang Gentzsch, Mateo Valero, Mads Nygård:
HPCS 2013 panel: The era of exascale sciences: Challenges, needs and requirements. HPCS 2013
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Mohamed-Slim Bouguerra, Ana Gainaru, Leonardo Arturo Bautista-Gomez, Franck Cappello, Satoshi Matsuoka, Naoya Maruyama:
Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing. IPDPS 2013: 501-512
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Mohammed el Mehdi Diouri, Olivier Glück, Laurent Lefèvre, Franck Cappello:
Towards an energy estimator for fault tolerance protocols. PPoPP 2013: 313-314
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Thomas Ropars, Tatiana V. Martsinkevich, Amina Guermouche, André Schiper, Franck Cappello:
SPBC: leveraging the characteristics of MPI HPC applications for scalable checkpointing. SC 2013: 8:1-8:12
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Sheng Di, Yves Robert, Frédéric Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello:
Optimization of cloud task processing with checkpoint-restart mechanism. SC 2013: 64:1-64:12
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Nathan DeBardeleben, Jon Stearley, Franck Cappello:
Proceedings of the 3rd Workshop on Fault-tolerance for HPC at extreme scale, jointly held with the 22nd International Symposium on High-Performance Parallel and Distributed Computing, HPDC'13, New York, NY, USA, June 18, 2013. ACM 2013, ISBN 978-1-4503-1983-6 [contents]
2012
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Amina Guermouche, Thomas Ropars, Franck Cappello:
HydEE, vers un protocole de recouvrement arrière hiérarchique pour les machines exascales. De l'exploitation du déterminisme des émissions dans les protocoles de recouvrement arrière. Tech. Sci. Informatiques 31(8-10): 1049-1078 (2012)
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Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Leigh Orf:
Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O. CLUSTER 2012: 155-163
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Leonardo Arturo Bautista-Gomez, Thomas Ropars, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka:
Hierarchical Clustering Strategies for Fault Tolerance in Large Scale HPC Systems. CLUSTER 2012: 355-363
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Mohammed el Mehdi Diouri, Olivier Glück, Laurent Lefèvre, Franck Cappello:
Energy considerations in checkpointing and fault tolerance protocols. DSN Workshops 2012: 1-6
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Leonardo Arturo Bautista-Gomez, Bogdan Nicolae, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka:
Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. Euro-Par 2012: 313-324
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Bogdan Nicolae, Franck Cappello:
A hybrid local storage transfer scheme for live migration of I/O intensive workloads. HPDC 2012: 85-96
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Ana Gainaru, Franck Cappello, William Kramer:
Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems. IPDPS 2012: 1168-1179
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Amina Guermouche, Thomas Ropars, Marc Snir, Franck Cappello:
HydEE: Failure Containment without Event Logging for Large Scale Send-Deterministic MPI Applications. IPDPS 2012: 1216-1227
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Ana Gainaru, Franck Cappello, Marc Snir, William Kramer:
Fault prediction under the microscope: a closer look into HPC systems. SC 2012: 77
2011
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Emmanuel Agullo, Camille Coti, Thomas Hérault, Julien Langou, Sylvain Peyronnet, Ala Rezmerita, Franck Cappello, Jack J. Dongarra:
QCG-OMPI: MPI applications on grids. Future Gener. Comput. Syst. 27(4): 357-369 (2011)
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Jack J. Dongarra, Peter H. Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara M. Chapman, Xuebin Chi, Alok N. Choudhary, Sudip S. Dosanjh, Thom H. Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert J. Harrison, Mark Hereld, Michael A. Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David E. Keyes, Bill Kramer, Jesús Labarta, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr, Matthias S. Müller, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E. Papka, Daniel A. Reed, Mitsuhisa Sato, Edward Seidel, John Shalf, David Skinner, Marc Snir, Thomas L. Sterling, Rick Stevens, Frederick H. Streitz, Bob Sugar, Shinji Sumimoto, William M. Tang, John A. Taylor, Rajeev Thakur, Anne E. Trefethen, Mateo Valero, Aad J. van der Steen, Jeffrey S. Vetter, Peg Williams, Robert W. Wisniewski, Katherine A. Yelick:
The International Exascale Software Project roadmap. Int. J. High Perform. Comput. Appl. 25(1): 3-60 (2011)
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Franck Cappello, Henri Casanova, Yves Robert:
Preventive Migration vs. Preventive Checkpointing for Extreme Scale Supercomputers. Parallel Process. Lett. 21(2): 111-132 (2011)
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Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, Bill Kramer:
Event Log Mining Tool for Large Scale HPC Systems. Euro-Par (1) 2011: 52-64
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Bogdan Nicolae, Franck Cappello, Gabriel Antoniu:
Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. Euro-Par (1) 2011: 503-513
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Thomas Ropars, Amina Guermouche, Bora Uçar, Esteban Meneses, Laxmikant V. Kalé, Franck Cappello:
On the Use of Cluster-Based Partial Message Logging to Improve Fault Tolerance for MPI HPC Applications. Euro-Par (1) 2011: 567-578
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Franck Cappello, Mathias Jacquelin, Loris Marchal, Yves Robert, Marc Snir:
Comparing archival policies for Blue Waters. HiPC 2011: 1-10
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Amina Guermouche, Thomas Ropars, Elisabeth Brunet, Marc Snir, Franck Cappello:
Uncoordinated Checkpointing Without Domino Effect for Send-Deterministic MPI Applications. IPDPS 2011: 989-1000
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Franck Cappello:
DPDNS Keynote. IPDPS Workshops 2011: 1487
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Leonardo Arturo Bautista-Gomez, Seiji Tsuboi, Dimitri Komatitsch, Franck Cappello, Naoya Maruyama, Satoshi Matsuoka:
FTI: high performance fault tolerance interface for hybrid systems. SC 2011: 32:1-32:32
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Bogdan Nicolae, Franck Cappello:
BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. SC 2011: 34:1-34:12
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Eric Martin Heien, Derrick Kondo, Ana Gainaru, Dan Lapine, Bill Kramer, Franck Cappello:
Modeling and tolerating heterogeneous failures in large parallel systems. SC 2011: 45:1-45:11
2010
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Ching-Hsien Hsu, Hai Jin, Franck Cappello:
Special section: Peer-to-peer grid technologies. Future Gener. Comput. Syst. 26(5): 701-703 (2010)
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Leonardo Arturo Bautista-Gomez, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka:
Distributed Diskless Checkpoint for Large Scale Systems. CCGRID 2010: 63-72
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Fatiha Bouabache, Thomas Hérault, Sylvain Peyronnet, Franck Cappello:
Planning Large Data Transfers in Institutional Grids. CCGRID 2010: 547-552
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Leonardo Arturo Bautista-Gomez, Akira Nukada, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka:
Low-overhead diskless checkpoint for hybrid computing systems. HiPC 2010: 1-10
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Franck Cappello, Amina Guermouche, Marc Snir:
On Communication Determinism in Parallel HPC Applications. ICCCN 2010: 1-8
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Franck Cappello, Henri Casanova, Yves Robert:
Checkpointing vs. Migration for Post-Petascale Supercomputers. ICPP 2010: 168-177

2000 – 2009

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2009
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Franck Cappello:
Fault Tolerance in Petascale/ Exascale Systems: Current Knowledge, Challenges and Research Opportunities. Int. J. High Perform. Comput. Appl. 23(3): 212-226 (2009)
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Jack J. Dongarra, Peter H. Beckman, Patrick Aerts, Franck Cappello, Thomas Lippert, Satoshi Matsuoka, Paul Messina, Terry Moore, Rick Stevens, Anne E. Trefethen, Mateo Valero:
The International Exascale Software Project: a Call To Cooperative Action By the Global High-Performance Community. Int. J. High Perform. Comput. Appl. 23(4): 309-322 (2009)
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Franck Cappello, Al Geist, Bill Gropp, Laxmikant V. Kalé, Bill Kramer, Marc Snir:
Toward Exascale Resilience. Int. J. High Perform. Comput. Appl. 23(4): 374-388 (2009)
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Gilles Fedak, Haiwu He, Franck Cappello:
BitDew: A data management and distribution service with multi-protocol file transfer and metadata abstraction. J. Netw. Comput. Appl. 32(5): 961-975 (2009)
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Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello:
Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment. J. Interconnect. Networks 10(4): 345-364 (2009)
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Franck Cappello, Thomas Hérault, Jack J. Dongarra:
Foreword. Parallel Comput. 35(12): 571 (2009)
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Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello:
BLAST Application with Data-Aware Desktop Grid Middleware. CCGRID 2009: 284-291
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Thomas Hérault, Thomas Largillier, Sylvain Peyronnet, Benjamin Quétier, Franck Cappello, Mathieu Jan:
High accuracy failure injection in parallel and distributed systems using virtualization. Conf. Computing Frontiers 2009: 193-196
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Camille Coti, Thomas Hérault, Franck Cappello:
MPI Applications on Grids: A Topology Aware Approach. Euro-Par 2009: 466-477
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Derrick Kondo, Bahman Javadi, Paul Malecot, Franck Cappello, David P. Anderson:
Cost-benefit analysis of Cloud Computing versus desktop grids. IPDPS 2009: 1-12
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Roberto Podestá, Victor Iniesta, Ala Rezmerita, Franck Cappello:
An Information Brokering Service Provider (IBSP) for Virtual Clusters. OTM Conferences (1) 2009: 165-182
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Franck Cappello, Cho-Li Wang, Rajkumar Buyya:
9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2009, Shanghai, China, 18-21 May 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3622-4 [contents]
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Franck Cappello, Laxmikant V. Kalé, Frank Mueller, Keshav Pingali, Alexander Reinefeld:
Fault Tolerance in High-Performance Computing and Grids, 03.05. - 08.05.2009. Dagstuhl Seminar Proceedings 09191, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents]
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Franck Cappello, Laxmikant V. Kalé, Frank Mueller, Keshav Pingali, Alexander Reinefeld:
09191 Abstracts Collection - Fault Tolerance in High-Performance Computing and Grids. Fault Tolerance in High-Performance Computing and Grids 2009
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Franck Cappello, Henri Casanova, Yves Robert:
Checkpointing vs. Migration for Post-Petascale Machines. CoRR abs/0911.5593 (2009)
2008
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Darius Buntinas, Camille Coti, Thomas Hérault, Pierre Lemarinier, Laurence Pilard, Ala Rezmerita, Eric Rodriguez, Franck Cappello:
Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI Protocols. Future Gener. Comput. Syst. 24(1): 73-84 (2008)
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Yoshihiro Nakajima, Mitsuhisa Sato, Yoshiaki Aida, Taisuke Boku, Franck Cappello:
Integrating Computing Resources on Multiple Grid-Enabled Job Scheduling Systems Through a Grid RPC System. J. Grid Comput. 6(2): 141-157 (2008)
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Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello:
Hierarchical replication techniques to ensure checkpoint storage reliability in grid environment. AICCSA 2008: 939-940
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Camille Coti, Thomas Hérault, Sylvain Peyronnet, Ala Rezmerita, Franck Cappello:
Grid Services for MPI. CCGRID 2008: 417-424
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Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello:
Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment. CCGRID 2008: 475-483
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Gilles Fedak, Haiwu He, Franck Cappello:
A File Transfer Service with Client/Server, P2P and Wide Area Storage Protocols. Globe 2008: 1-11
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Matthieu Cargnelli, Guillaume Alléon, Franck Cappello:
OpenWP: Combining annotation language and workflow environments for porting existing applications on grids. GRID 2008: 176-183
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Thomas Hérault, Mathieu Jan, Thomas Largillier, Sylvain Peyronnet, Benjamin Quétier, Franck Cappello:
Emulation platform for high accuracy failure injection in grids. High Performance Computing Workshop 2008: 127-140
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Gilles Fedak, Haiwu He, Franck Cappello:
Distributing and managing data on desktop grids with BitDew. UPGRADE-CN 2008: 63-64
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Franck Cappello:
Fault Tolerance for PetaScale Systems: Current Knowledge, Challenges and Opportunities. PVM/MPI 2008: 2
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Gilles Fedak, Haiwu He, Franck Cappello:
BitDew: a programmable environment for large-scale data management and distribution. SC 2008: 45
2007
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Derrick Kondo, Gilles Fedak, Franck Cappello, Andrew A. Chien, Henri Casanova:
Characterizing resource availability in enterprise desktop grids. Future Gener. Comput. Syst. 23(7): 888-903 (2007)
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Baohua Wei, Gilles Fedak, Franck Cappello:
Towards efficient data distribution on computational desktop grids with BitTorrent. Future Gener. Comput. Syst. 23(8): 983-989 (2007)
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Benjamin Quétier, Vincent Néri, Franck Cappello:
Scalability Comparison of Four Host Virtualization Tools. J. Grid Comput. 5(1): 83-98 (2007)
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Franck Cappello, Henri E. Bal:
Toward an International "Computer Science Grid". CCGRID 2007: 3-12
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Fatiha Bouabache, Thomas Hérault, Gilles Fedak, Franck Cappello:
A Distributed and Replicated Service for Checkpoint Storage. CoreGRID Workshop - Making Grids Work 2007: 295-306
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Derrick Kondo, Filipe Araújo, Paul Malecot, Patrício Domingues, Luís Moura Silva, Gilles Fedak, Franck Cappello:
Characterizing Result Errors in Internet Desktop Grids. Euro-Par 2007: 361-371
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Benjamin Quétier, Thomas Hérault, Vincent Néri, Franck Cappello:
Virtual Parallel Machines Through Virtualization: Impact on MPI Executions. PVM/MPI 2007: 381-383
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Camille Coti, Ala Rezmerita, Thomas Hérault, Franck Cappello:
Grid Services for MPI. PVM/MPI 2007: 393-394
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Franck Cappello:
Towards an International Computer Science Grid. WETICE 2007: 4
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Franck Cappello, Thomas Hérault, Jack J. Dongarra:
Recent Advances in Parallel Virtual Machine and Message Passing Interface, 14th European PVM/MPI User's Group Meeting, Paris, France, September 30 - October 3, 2007, Proceedings. Lecture Notes in Computer Science 4757, Springer 2007, ISBN 978-3-540-75415-2 [contents]
2006
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Géraud Krawezik, Franck Cappello:
Performance comparison of MPI and OpenMP on shared memory multiprocessors. Concurr. Comput. Pract. Exp. 18(1): 29-61 (2006)
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Franck Cappello, Adriana Iamnitchi, Mitsuhisa Sato:
Editorial: Special Issue on Global and Peer-to-Peer Computing. J. Grid Comput. 4(3): 223-224 (2006)
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Aurélien Bouteiller, Hinde-Lilia Bouziane, Thomas Hérault, Pierre Lemarinier, Franck Cappello:
Hybrid Preemptive Scheduling of Message Passing Interface Applications on Grids. Int. J. High Perform. Comput. Appl. 20(1): 77-90 (2006)
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Aurélien Bouteiller, Thomas Hérault, Géraud Krawezik, Pierre Lemarinier, Franck Cappello:
MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI. Int. J. High Perform. Comput. Appl. 20(3): 319-333 (2006)
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Raphael Bolze, Franck Cappello, Eddy Caron, Michel J. Daydé, Frédéric Desprez, Emmanuel Jeannot, Yvon Jégou, Stéphane Lanteri, Julien Leduc, Nouredine Melab, Guillaume Mornet, Raymond Namyst, Pascale Primet, Benjamin Quétier, Olivier Richard, El-Ghazali Talbi, Iréa Touche:
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed. Int. J. High Perform. Comput. Appl. 20(4): 481-494 (2006)
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Derrick Kondo, Bruno Kindarji, Gilles Fedak, Franck Cappello:
Towards Soft Real-Time Applications on Enterprise Desktop Grids. CCGRID 2006: 65-72
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Yoshihiro Nakajima, Mitsuhisa Sato, Yoshiaki Aida, Taisuke Boku, Franck Cappello:
Integrating Computing Resources on Multiple Grid-enabled Job Scheduling Systems Through a Grid RPC System. CCGRID 2006: 296-300
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William Hoarau, Pierre Lemarinier, Thomas Hérault, Eric Rodriguez, Sébastien Tixeuil, Franck Cappello:
FAIL-MPI: How Fault-Tolerant Is Fault-Tolerant MPI? CLUSTER 2006
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Derrick Kondo, Gilles Fedak, Franck Cappello, Andrew A. Chien, Henri Casanova:
On Resource Volatility in Enterprise Desktop Grids. e-Science 2006: 78
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Ala Rezmerita, Tangui Morlier, Vincent Néri, Franck Cappello:
Private Virtual Cluster: Infrastructure and Protocol for Instant Grids. Euro-Par 2006: 393-404
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Derrick Kondo, Gilles Fedak, Franck Cappello, Andrew A. Chien, Henri Casanova:
Availability Traces of Enterprise Desktop Grids. GRID 2006: 301-302
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Franck Cappello, Henri E. Bal:
Computer Science Grids. High Performance Computing Workshop 2006: 463-481
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Camille Coti, Thomas Hérault, Pierre Lemarinier, Laurence Pilard, Ala Rezmerita, Eric Rodriguez, Franck Cappello:
MPI tools and performance studies - Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI. SC 2006: 127
2005
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Franck Cappello, Samir Djilali, Gilles Fedak, Thomas Hérault, Frédéric Magniette, Vincent Néri, Oleg Lodygensky:
Computing on large-scale distributed systems: XtremWeb architecture, programming models, security, tests and convergence with grid. Future Gener. Comput. Syst. 21(3): 417-437 (2005)
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Franck Cappello, Pierre Fraigniaud, Bernard Mans, Arnold L. Rosenberg:
An algorithmic model for heterogeneous hyper-clusters: rationale and experience. Int. J. Found. Comput. Sci. 16(2): 195-215 (2005)
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Franck Cappello, Eddy Caron, Michel J. Daydé, Frédéric Desprez, Yvon Jégou, Pascale Vicat-Blanc Primet, Emmanuel Jeannot, Stéphane Lanteri, Julien Leduc, Nouredine Melab, Guillaume Mornet, Raymond Namyst, Benjamin Quétier, Olivier Richard:
Grid'5000: a large scale and highly reconfigurable grid experimental testbed. GRID 2005: 99-106
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Baohua Wei, Gilles Fedak, Franck Cappello:
Scheduling independent tasks sharing large data distributed with BitTorrent. GRID 2005: 219-226
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Aurélien Bouteiller, Boris Collin, Thomas Hérault, Pierre Lemarinier, Franck Cappello:
Impact of Event Logger on Causal Message Logging Protocols for Fault Tolerant MPI. IPDPS 2005
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Baohua Wei, Gilles Fedak, Franck Cappello:
Collaborative Data Distribution with BitTorrent for Computational Desktop Grids. ISPDC 2005: 250-257
2004
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Pierre Lemarinier, Aurélien Bouteiller, Géraud Krawezik, Franck Cappello:
Coordinated checkpoint versus message log for fault tolerant MPI. Int. J. High Perform. Comput. Netw. 2(2/3/4): 146-155 (2004)
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Pierre Lemarinier, Aurélien Bouteiller, Thomas Hérault, Géraud Krawezik, Franck Cappello:
Improved message logging versus improved coordinated checkpointing for fault tolerant MPI. CLUSTER 2004: 115-124
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Aurélien Bouteiller, Hinde-Lilia Bouziane, Thomas Hérault, Pierre Lemarinier, Franck Cappello:
Hybrid Preemptive Scheduling of MPI Applications on the Grids. GRID 2004: 130-137
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Samir Djilali, Thomas Hérault, Oleg Lodygensky, Tangui Morlier, Gilles Fedak, Franck Cappello:
RPC-V: Toward Fault-Tolerant RPC for Internet Connected Desktop Grids with Volatile Nodes. SC 2004: 39
2003
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Oleg Lodygensky, Gilles Fedak, Franck Cappello, Vincent Néri, Miron Livny, Douglas Thain:
XtremWeb & Condor sharing resources between Internet connected Condor pools. CCGRID 2003: 382-389
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Aurélien Bouteiller, Pierre Lemarinier, Géraud Krawezik, Franck Cappello:
Coordinated Checkpoint versus Message Log for Fault Tolerant MPI. CLUSTER 2003: 242-250
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Luc Bougé, Franck Cappello, Omer F. Rana, Bernard Traversat:
Topic Introduction. Euro-Par 2003: 1229
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Aurélien Bouteiller, Franck Cappello, Thomas Hérault, Géraud Krawezik, Pierre Lemarinier, Frédéric Magniette:
MPICH-V2: a Fault Tolerant MPI for Volatile Nodes based on Pessimistic Sender Based Message Logging. SC 2003: 25
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Oleg Lodygensky, Gilles Fedak, Vincent Néri, Alain Cordier, Franck Cappello:
Augernome & XtremWeb: Monte Carlos computation on a global computing platform. CoRR cs.DC/0307066 (2003)
2002
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George Bosilca, Gilles Fedak, Franck Cappello:
OVM: Out-of-order execution parallel virtual machine. Future Gener. Comput. Syst. 18(4): 525-537 (2002)
[j8]
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Franck Cappello, Daniel Etiemble:
MPI ou MPI+OpenMP sur grappes de multiprocesseurs? Tech. Sci. Informatiques 21(2): 253-272 (2002)
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Géraud Krawezik, Guillaume Alléon, Franck Cappello:
SPMD OpenMP versus MPI on a IBM SMP for 3 Kernels of the NAS Benchmarks. ISHPC 2002: 425-436
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Anton Selikhov, George Bosilca, Cécile Germain, Gilles Fedak, Franck Cappello:
MPICH-CM: A Communication Library Design for a P2P MPI Implementation. PVM/MPI 2002: 323-330
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George Bosilca, Aurélien Bouteiller, Franck Cappello, Samir Djilali, Gilles Fedak, Cécile Germain, Thomas Hérault, Pierre Lemarinier, Oleg Lodygensky, Frédéric Magniette, Vincent Néri, Anton Selikhov:
MPICH-V: toward a scalable fault tolerant MPI for volatile nodes. SC 2002: 31:1-31:18
2001
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Franck Cappello, Olivier Richard, Daniel Etiemble:
Understanding performance of SMP clusters running MPI programs. Future Gener. Comput. Syst. 17(6): 711-720 (2001)
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George Bosilca, Gilles Fedak, Franck Cappello:
OVM: Out-of-Order Execution Parallel Virtual Machine. CCGRID 2001: 212-220
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Gilles Fedak, Cécile Germain, Vincent Néri, Franck Cappello:
XtremWeb: A Generic Global Computing System. CCGRID 2001: 582-587
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Franck Cappello, Pierre Fraigniaud, Bernard Mans, Arnold L. Rosenberg:
HiHCoHP: Toward a Realistic Communication Model for Hierarchical HyperClusters of Heterogeneous Processors. IPDPS 2001: 42
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Cécile Germain, Gilles Fedak, Vincent Néri, Franck Cappello:
Global Computing Systems. LSSC 2001: 218-227
2000
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Cécile Germain, Vincent Néri, Gilles Fedak, Franck Cappello:
XtremWeb: Building an Experimental Platform for Global Computing. GRID 2000: 91-101
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Franck Cappello, Olivier Richard, Daniel Etiemble:
Investigating the Performance of Two Programming Models for Clusters of SMP PCs. HPCA 2000: 349-359
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Franck Cappello, Daniel Etiemble:
MPI versus MPI+OpenMP on IBM SP for the NAS Benchmarks. SC 2000: 12

1990 – 1999

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1999
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Franck Cappello, Olivier Richard:
Performance Characteristics of a Network of Commodity Multiprocessors for the NAS Benchmarks Using a Hybrid Memory Model. IEEE PACT 1999: 108-116
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Olivier Richard, Franck Cappello:
A Client/Broker/Server Substrate with µs Round-Trip Overhead. Euro-Par 1999: 790-794
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Franck Cappello, Olivier Richard, Daniel Etiemble:
Performance of the NAS Benchmarks on a Cluster of SMP PCs Using a Parallelization of the MPI Programs with OpenMP. PaCT 1999: 339-350
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Franck Cappello, Olivier Richard, Daniel Etiemble:
Performance Evaluation of Two Programming Models for a Cluster of PC Biprocessors. PDPTA 1999: 1912-1918
1998
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Olivier Richard, Franck Cappello:
On the Self-Similar Nature of Workstations and WWW Servers Workload. Euro-Par 1998: 216-219
1997
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Franck Cappello, Daniel Etiemble:
Communications in Parallel Architectures and Networks of Workstations: From Standardisation to New Standards. PaCT 1997: 298-310
1995
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Cécile Germain, Franck Cappello:
The Static Network: A High Performance Reconfigurable Communication Network. Parallel Process. Lett. 5: 97-109 (1995)
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Franck Cappello, Cécile Germain:
Toward High Communication Performance through Compiled Communications on a Circuit Switched Interconnection Network. HPCA 1995: 44-53
1993
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Vincent Néri, Jean-Luc Béchennec, Franck Cappello, Daniel Etiemble:
Hardware features of the static communication network of a parallel architecture. Microprocess. Microprogramming 38(1-5): 19-24 (1993)
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Franck Cappello, Jean-Luc Béchennec, Franck Delaplace, Cécile Germain, Jean-Louis Giavitto, Vincent Néri, Daniel Etiemble:
Balanced Distributed Memory Parallel Computers. ICPP (1) 1993: 72-76
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Franck Cappello, Jean-Luc Béchennec, Franck Delaplace, Damien Gautier de Lahaut, Cécile Germain, Jean-Louis Giavitto, Vincent Néri, Daniel Etiemble:
A Parralel Architecture Based on Compiled Communication Schemes. PARCO 1993: 371-378
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E. Daugeras, Jean-Luc Béchennec, Franck Cappello:
Static computation of standard linear algebra subroutines for PTAH. PDP 1993: 30-34
1992
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Franck Cappello, Jean-Luc Béchennec, J.-L. Glavitto:
Design of the processing node of the PTAH 64 parallel computer. Microprocess. Microprogramming 35(1-5): 105-111 (1992)
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Franck Delaplace, Franck Cappello:
Data layouts impacts on the compilation of the communications for a synchronous MSIMD machine. Microprocess. Microprogramming 35(1-5): 469-475 (1992)
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Franck Cappello, Jean-Luc Béchennec, Jean-Louis Giavitto:
PTAH: Introduction to a New Parallel Architecture for Highly Numeric Processing. PARLE 1992: 81-96
1991
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Jean-Luc Béchennec, Franck Cappello, Daniel Etiemble:
3D hardware packages for parallel architectures. Microprocessing and Microprogramming 32(1-5): 171-177 (1991)
1990
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Franck Cappello, Jean-Luc Béchennec, Daniel Etiemble:
A risc central processing unit for a massivelly parallel architecture. Microprocessing and Microprogramming 30(1-5): 33-39 (1990)

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