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ORCIDAhmed E. Helal
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2020 – today
- 2024
[i3]Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi:
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. CoRR abs/2403.06348 (2024)- 2023
- [c12]Yongseok Soh, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams. IPDPS 2023: 402-412 - 2022
- [c11]Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures. ICS 2022: 26:1-26:13 - [i2]Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures. CoRR abs/2201.12523 (2022) - 2021
- [c10]Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi:
ALTO: adaptive linearized storage of sparse tensors. ICS 2021: 404-416 - [i1]Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi:
ALTO: Adaptive Linearized Storage of Sparse Tensors. CoRR abs/2102.10245 (2021) - 2020
- [b1]Ahmed E. Helal:
Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing. Virginia Tech, Blacksburg, VA, USA, 2020
2010 – 2019
- 2019
- [c9]Ahmed E. Helal, Ashwin M. Aji, Michael L. Chu, Bradford M. Beckmann, Wu-chun Feng:
Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs. PACT 2019: 324-336 - 2018
- [c8]Ahmed E. Helal, Changhee Jung, Wu-chun Feng, Yasser Y. Hanafy:
CommAnalyzer: automated estimation of communication cost and scalability on HPC clusters from sequential code. HPDC 2018: 80-91 - [c7]Mohamed W. Hassan, Ahmed E. Helal, Peter M. Athanas, Wu-Chun Feng, Yasser Y. Hanafy:
Exploring FPGA-specific Optimizations for Irregular OpenCL Applications. ReConFig 2018: 1-8 - [c6]Paul Sathre, Ahmed E. Helal, Wu-chun Feng:
A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation. ReConFig 2018: 1-8 - 2017
- [c5]Ahmed E. Helal, Wu-chun Feng, Changhee Jung, Yasser Y. Hanafy:
AutoMatch: An automated framework for relative performance estimation and workload distribution on heterogeneous HPC systems. IISWC 2017: 32-42 - 2016
- [c4]Konstantinos Krommydas, Ahmed E. Helal, Anshuman Verma, Wu-chun Feng:
Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs. FCCM 2016: 198 - [c3]Ahmed E. Helal, Paul Sathre, Wu-chun Feng:
MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters. SC 2016: 119-129 - 2015
- [c2]Ahmed E. Helal, Amr M. Bayoumi, Yasser Y. Hanafy:
Parallel circuit simulation using the direct method on a heterogeneous cloud. DAC 2015: 186:1-186:6 - [c1]Mohamed W. Hassan
, Ahmed E. Helal, Yasser Y. Hanafy:
High Performance Sparse LU Solver FPGA Accelerator Using a Static Synchronous Data Flow Model. FCCM 2015: 29
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