Ana Gainaru

53 papers A 10B 6C 7Journal 16Unranked 11
YearRankTypeTitle / Venue / Authors
2025 C conf
A Performance Model of In-Situ Techniques.
PDP
Yi Ju, Nicolas Vidal, Adalberto Perez, Ana Gainaru, Frédéric Suter, Stefano Markidis, Philipp Schlatter, Scott Klasky, Erwin Laure
2025 — conf
Enabling Command-and-Control in Advanced In Situ Workflows.
ICPP Workshops
Kshitij Mehta, Eric Suchyta, Frédéric Suter, Ana Gainaru, Norbert Podhorszki, Scott Klasky
2025 J jnl
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research.
CoRR
Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash
2025 J jnl
HPC I/O innovations in the exascale era.
Int. J. High Perform. Comput. Appl.
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Junmin Gu, Vicente Bolea, Liz Dulac, Dmitry Ganyushin, William F. Godoy, Qing Liu, Caitlin Ross, Lipeng Wan, Scott Wittenburg, Kesheng Wu
2025 — conf
Priority-BF: A Task Manager for Priority-Based Scheduling.
Euro-Par (1)
Ana Gainaru, Scott Klasky, Guillaume Pallez
2024 J jnl
AI-coupled HPC Workflow Applications, Middleware and Performance.
CoRR
Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha
2024 B conf
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis.
CCGrid
Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun
2024 — conf
High-Throughput Computing: Case Study of Medical Image Processing Applications.
FlexScience@HPDC
Maria Predescu, Cosmin-Gabriel Samoila, Emil-Ioan Slusanschi, Ana Gainaru
2024 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
CoRR
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2024 — conf
Streaming Data in HPC Workflows Using ADIOS.
CUG
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchyta, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
2024 J jnl
Streaming Data in HPC Workflows Using ADIOS.
CoRR
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
2024 C conf
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation.
SBAC-PAD
Ana Gainaru, Norbert Podhorszki, Liz Dulac, Qian Gong, Scott Klasky, Greg Eisenhauer, Antonios Kougkas, Xian-He Sun, Jay F. Lofstead
2023 — ed.
Benchmarking, Measuring, and Optimizing - 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers
Bench
Ana Gainaru, Ce Zhang, Chunjie Luo
2023 B conf
Driving Next-Generation Workflows from the Data Plane.
e-Science
Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky
2023 — conf
Julia as a unifying end-to-end workflow language on the Frontier exascale system.
SC Workshops
William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter
2023 J jnl
Julia as a unifying end-to-end workflow language on the Frontier exascale system.
CoRR
William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter
2023 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2023 A conf
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
HPDC
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2022 B conf
Adaptive Generation of Training Data for ML Reduced Model Creation.
IEEE Big Data
Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield
2022 C conf
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.
CLUSTER
Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky
2022 J jnl
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst.
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2022 — conf
Message from the DRBSD-8 Workshop Chairs.
DRBSD@SC
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
2022 J jnl
Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst.
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
2021 J jnl
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization.
CoRR
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2021 J jnl
Profiles of Upcoming HPC Applications and Their Impact on Reservation Strategies.
IEEE Trans. Parallel Distributed Syst.
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez
2021 B conf
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
SMC
Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl
2021 J jnl
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2.
CoRR
Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl
2021 — conf
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
DRBSD@SC
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
2021 B conf
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics.
SMC
Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky
2020 A conf
Reservation and Checkpointing Strategies for Stochastic Jobs.
IPDPS
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun
2020 C conf
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead.
SBAC-PAD
Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan
2019 J jnl
I/O Scheduling Strategy for Periodic Applications.
ACM Trans. Parallel Comput.
Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre
2019 — conf
Making Speculative Scheduling Robust to Incomplete Data.
ScalA@SC
Ana Gainaru, Guillaume Pallez
2019 J jnl
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows.
Int. J. High Perform. Comput. Appl.
Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan
2019 — ed.
Proceedings of the 10th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2019, Phoenix, AZ, USA, June 25, 2019
ScienceCloud@HPDC
Bogdan Nicolae, Alexandru Costan, Dmitry Duplyakin, Ana Gainaru, Alexandru Uta, Carlos Costa
2019 A conf
Reservation Strategies for Stochastic Jobs.
IPDPS
Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun
2019 B conf
Speculative Scheduling for Stochastic HPC Applications.
ICPP
Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan
2018 A conf
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling.
IPDPS
Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan
2017 — conf
Periodic I/O Scheduling for Super-Computers.
PMBS@SC
Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre
2017 J jnl
Periodic I/O scheduling for super-computers.
CoRR
Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre
2016 A conf
Reducing Waste in Extreme Scale Systems through Introspective Analysis.
IPDPS
Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir
2016 C conf
Using InfiniBand Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All.
EuroMPI
Ana Gainaru, Richard L. Graham, Artem Y. Polyakov, Gilad Shainer
2015 — —
Failure avoidance techniques for HPC systems based on failure prediction
Ana Gainaru
2015 A conf
Scheduling the I/O of HPC Applications Under Congestion.
IPDPS
Ana Gainaru, Guillaume Aupy, Anne Benoit, Franck Cappello, Yves Robert, Marc Snir
2013 J jnl
Failure prediction for HPC systems and applications: Current situation and open issues.
Int. J. High Perform. Comput. Appl.
Ana Gainaru, Franck Cappello, Marc Snir, William Kramer
2013 A conf
Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing.
IPDPS
Mohamed-Slim Bouguerra, Ana Gainaru, Leonardo Arturo Bautista-Gomez, Franck Cappello, Satoshi Matsuoka, Naoya Maruyama
2012 A conf
Fault prediction under the microscope: a closer look into HPC systems.
SC
Ana Gainaru, Franck Cappello, Marc Snir, William Kramer
2012 A conf
Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems.
IPDPS
Ana Gainaru, Franck Cappello, William Kramer
2011 — conf
Event Log Mining Tool for Large Scale HPC Systems.
Euro-Par (1)
Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, Bill Kramer
2011 C conf
Framework for Mapping Data Mining Applications on GPUs.
ISPDC
Ana Gainaru, Emil Slusanschi
2011 C conf
Mapping Data Mining Algorithms on a GPU Architecture: A Study.
ISMIS
Ana Gainaru, Emil Slusanschi, Stefan Trausan-Matu
2011 A conf
Modeling and tolerating heterogeneous failures in large parallel systems.
SC
Eric Martin Heien, Derrick Kondo, Ana Gainaru, Dan Lapine, Bill Kramer, Franck Cappello
2009 — conf
A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs.
VTC Spring
Ana Gainaru, Ciprian Dobre, Valentin Cristea