A Performance Model of In-Situ Techniques. - Ju, Yi; Vidal, Nicolas; Perez, Adalberto; Gainaru, Ana; Suter, Frédéric; Markidis, Stefano; Schlatter, Philipp; Klasky, Scott; Laure, Erwin (2025)

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. - Almeldein, Ahmed; Alnaggar, Mohammed; Archibald, Rick; Beck, Tom; Biswas, Arpan; Bostelmann, Rike; Brewer, Wes; Bryan, Chris; Calle, Christopher; Celik, Cihangir; Chahal, Rajni; Choi, Jong Youl; et al. (CoRR, 2025)

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. - Cernuda, Jaime; Logan, Luke; Gainaru, Ana; Klasky, Scott; Lofstead, Jay F.; Kougkas, Anthony; Sun, Xian-He (2024)

High-Throughput Computing: Case Study of Medical Image Processing Applications. - Predescu, Maria; Samoila, Cosmin-Gabriel; Slusanschi, Emil-Ioan; Gainaru, Ana (2024)

To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. - Gainaru, Ana; Podhorszki, Norbert; Dulac, Liz; Gong, Qian; Klasky, Scott; Eisenhauer, Greg; Kougkas, Antonios; Sun, Xian-He; Lofstead, Jay F. (2024)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Gong, Qian; Chen, Jieyang; Whitney, Ben; Liang, Xin; Reshniak, Viktor; Banerjee, Tania; Lee, Jaemoon; Rangarajan, Anand; Wan, Lipeng; Vidal, Nicolas; Liu, Qing; Gainaru, Ana; et al. (CoRR, 2024)

AI-coupled HPC Workflow Applications, Middleware and Performance. - Brewer, Wes; Gainaru, Ana; Suter, Frédéric; Wang, Feiyi; Emani, Murali; Jha, Shantenu (CoRR, 2024)

Streaming Data in HPC Workflows Using ADIOS. - Eisenhauer, Greg; Podhorszki, Norbert; Gainaru, Ana; Klasky, Scott; Davis, Philip E.; Parashar, Manish; Wolf, Matthew; Suchtya, Eric; Fredj, Erick; Bolea, Vicente; Pöschel, Franz; Steiniger, Klaus; et al. (CoRR, 2024)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Gong, Qian; Chen, Jieyang; Whitney, Ben; Liang, Xin; Reshniak, Viktor; Banerjee, Tania; Lee, Jaemoon; Rangarajan, Anand; Wan, Lipeng; Vidal, Nicolas; Liu, Qing; Gainaru, Ana; et al. (SoftwareX, 2023)

Driving Next-Generation Workflows from the Data Plane. - Suter, Frédéric; Silva, Rafael Ferreira da; Gainaru, Ana; Klasky, Scott (2023)

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. - Wan, Lipeng; Chen, Jieyang; Liang, Xin; Gainaru, Ana; Gong, Qian; Liu, Qing; Whitney, Ben; Arulraj, Joy; Liu, Zhengchun; Foster, Ian T.; Klasky, Scott (2023)

Julia as a unifying end-to-end workflow language on the Frontier exascale system. - Godoy, William F.; Valero-Lara, Pedro; Anderson, Caira; Lee, Katrina W.; Gainaru, Ana; Silva, Rafael Ferreira da; Vetter, Jeffrey S. (2023)

Benchmarking, Measuring, and Optimizing - 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers (Springer, 2023)

Julia as a unifying end-to-end workflow language on the Frontier exascale system. - Godoy, William F.; Valero-Lara, Pedro; Anderson, Caira; Lee, Katrina W.; Gainaru, Ana; Silva, Rafael Ferreira da; Vetter, Jeffrey S. (CoRR, 2023)

Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. - Wan, Lipeng; Huebl, Axel; Gu, Junmin; Poeschel, Franz; Gainaru, Ana; Wang, Ruonan; Chen, Jieyang; Liang, Xin; Ganyushin, Dmitry; Munson, Todd S.; Foster, Ian T.; Vay, Jean-Luc; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Gainaru, Ana; Wan, Lipeng; Wang, Ruonan; Suchyta, Eric; Chen, Jieyang; Podhorszki, Norbert; Kress, James; Pugmire, David; Klasky, Scott (IEEE Trans. Parallel Distributed Syst., 2022)

Adaptive Generation of Training Data for ML Reduced Model Creation. - Cianciosa, Mark R.; Archibald, Richard; Elwasif, Wael R.; Gainaru, Ana; Park, Jin Myung; Whitfield, Ross (2022)

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. - Suchyta, Eric; Choi, Jong Youl; Ku, Seung-Hoe; Pugmire, David; Gainaru, Ana; Huck, Kevin A.; Kube, Ralph; Scheinberg, Aaron; Suter, Frédéric; Chang, Choong-Seock; Munson, Todd S.; Podhorszki, Norbert; et al. (2022)

Message from the DRBSD-8 Workshop Chairs. - Chen, Jieyang; Di, Sheng; Gainaru, Ana; Liang, Xin; Munson, Todd S. (2022)

Profiles of Upcoming HPC Applications and Their Impact on Reservation Strategies. - Gainaru, Ana; Goglin, Brice; Honoré, Valentin; Pallez, Guillaume (IEEE Trans. Parallel Distributed Syst., 2021)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Wang, Xinying; Wan, Lipeng; Chen, Jieyang; Gong, Qian; Whitney, Ben; Wang, Jinzhen; Gainaru, Ana; Liu, Qing; Podhorszki, Norbert; Zhao, Dongfang; Yan, Feng; Klasky, Scott (2021)

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. - Poeschel, Franz; E, Juncheng; Godoy, William F.; Podhorszki, Norbert; Klasky, Scott; Eisenhauer, Greg; Davis, Philip E.; Wan, Lipeng; Gainaru, Ana; Gu, Junmin; Koller, Fabian; Widera, René; et al. (2021)

Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. - Gainaru, Ana; Ganyushin, Dmitry; Xie, Bing; Kurç, Tahsin M.; Saltz, Joel H.; Oral, Sarp; Podhorszki, Norbert; Poeschel, Franz; Huebl, Axel; Klasky, Scott (2021)

Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. - Poeschel, Franz; E, Juncheng; Godoy, William F.; Podhorszki, Norbert; Klasky, Scott; Eisenhauer, Greg; Davis, Philip E.; Wan, Lipeng; Gainaru, Ana; Gu, Junmin; Koller, Fabian; Widera, René; et al. (CoRR, 2021)

Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. - Wan, Lipeng; Huebl, Axel; Gu, Junmin; Poeschel, Franz; Gainaru, Ana; Wang, Ruonan; Chen, Jieyang; Liang, Xin; Ganyushin, Dmitry; Munson, Todd S.; Foster, Ian T.; Vay, Jean-Luc; et al. (CoRR, 2021)

Reservation and Checkpointing Strategies for Stochastic Jobs. - Gainaru, Ana; Goglin, Brice; Honoré, Valentin; Aupy, Guillaume Pallez; Raghavan, Padma; Robert, Yves; Sun, Hongyang (2020)

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. - Sun, Hongyang; Gainaru, Ana; Shantharam, Manu; Raghavan, Padma (2020)

On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. - Gainaru, Ana; Sun, Hongyang; Aupy, Guillaume; Huo, Yuankai; Landman, Bennett A.; Raghavan, Padma (Int. J. High Perform. Comput. Appl., 2019)

I/O Scheduling Strategy for Periodic Applications. - Aupy, Guillaume; Gainaru, Ana; Fèvre, Valentin Le (ACM Trans. Parallel Comput., 2019)

Speculative Scheduling for Stochastic HPC Applications. - Gainaru, Ana; Pallez, Guillaume; Sun, Hongyang; Raghavan, Padma (2019)

Reservation Strategies for Stochastic Jobs. - Aupy, Guillaume; Gainaru, Ana; Honoré, Valentin; Raghavan, Padma; Robert, Yves; Sun, Hongyang (2019)

Making Speculative Scheduling Robust to Incomplete Data. - Gainaru, Ana; Pallez, Guillaume (2019)

Proceedings of the 10th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2019, Phoenix, AZ, USA, June 25, 2019 (ACM, 2019)

Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. - Sun, Hongyang; Elghazi, Redouane; Gainaru, Ana; Aupy, Guillaume; Raghavan, Padma (2018)

Periodic I/O Scheduling for Super-Computers. - Aupy, Guillaume; Gainaru, Ana; Fèvre, Valentin Le (2017)

Periodic I/O scheduling for super-computers. - Aupy, Guillaume; Gainaru, Ana; Fèvre, Valentin Le (CoRR, 2017)

Reducing Waste in Extreme Scale Systems through Introspective Analysis. - Bautista-Gomez, Leonardo Arturo; Gainaru, Ana; Perarnau, Swann; Tiwari, Devesh; Gupta, Saurabh; Engelmann, Christian; Cappello, Franck; Snir, Marc (2016)

Using InfiniBand Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All. - Gainaru, Ana; Graham, Richard L.; Polyakov, Artem Y.; Shainer, Gilad (2016)

Failure avoidance techniques for HPC systems based on failure prediction - Gainaru, Ana (2015)

Scheduling the I/O of HPC Applications Under Congestion. - Gainaru, Ana; Aupy, Guillaume; Benoit, Anne; Cappello, Franck; Robert, Yves; Snir, Marc (2015)

Failure prediction for HPC systems and applications: Current situation and open issues. - Gainaru, Ana; Cappello, Franck; Snir, Marc; Kramer, William (Int. J. High Perform. Comput. Appl., 2013)

Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing. - Bouguerra, Mohamed-Slim; Gainaru, Ana; Bautista-Gomez, Leonardo Arturo; Cappello, Franck; Matsuoka, Satoshi; Maruyama, Naoya (2013)

Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems. - Gainaru, Ana; Cappello, Franck; Kramer, William (2012)

Fault prediction under the microscope: a closer look into HPC systems. - Gainaru, Ana; Cappello, Franck; Snir, Marc; Kramer, William (2012)

Event Log Mining Tool for Large Scale HPC Systems. - Gainaru, Ana; Cappello, Franck; Trausan-Matu, Stefan; Kramer, Bill (2011)

Mapping Data Mining Algorithms on a GPU Architecture: A Study. - Gainaru, Ana; Slusanschi, Emil; Trausan-Matu, Stefan (2011)

Framework for Mapping Data Mining Applications on GPUs. - Gainaru, Ana; Slusanschi, Emil (2011)

Modeling and tolerating heterogeneous failures in large parallel systems. - Heien, Eric Martin; Kondo, Derrick; Gainaru, Ana; Lapine, Dan; Kramer, Bill; Cappello, Franck (2011)

A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs. - Gainaru, Ana; Dobre, Ciprian; Cristea, Valentin (2009)