Publications
For a complete list of publications visit my google scholar or dblp pages. A list of selected publications can be found below:
Data management
Hpc i/o innovations in the exascale era
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, et al.
[The International Journal of High Performance Computing Applications, 2025]
DOI: 10.1177/10943420251330446
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation
A. Gainaru, N. Podhorszki, L. Dulac, Q. Gong, S. Klasky, G. Eisenhauer, A. Kougkas, X. Sun, J. Lofstead
[IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2024]
DOI: 10.1109/SBAC-PAD63648.2024.00030
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, et al.
[HPDC: Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023]
DOI: 10.1145/3588195.3592983
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers
Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, et al.
[IEEE International Conference on Cluster Computing (CLUSTER), 2022]
DOI: 10.1109/CLUSTER51413.2022.00035
Understanding the Impact of Data Staging for Coupled Scientific Workflows
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, et al.
[IEEE Transactions on Parallel and Distributed Systems, 2022]
DOI: 10.1109/TPDS.2022.3179989
Workflow management
AI-coupled HPC Workflow Applications, Middleware and Performance
Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha
[In submission to ACM Computing Surveys Journal (CSUR)]
Paper: https://arxiv.org/pdf/2406.14315
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis
Jaime Cernuda, Luke Logan, Ana Gainaru, et al.
[IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024]
DOI: 10.1109/CCGrid59990.2024.00070
Adaptive Generation of Training Data for ML Reduced Model Creation
Mark Cianciosa, Richard Archibald, Wael Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield
[IEEE International Conference on Big Data (Big Data), 2022]
DOI: 10.1109/BigData55660.2022.10020884
2022 review of data-driven plasma science
Rushil Anirudh, Rick Archibald, M Salman Asif, Markus M Becker, Sadruddin Benkadda, Peer-Timo Bremer, Rick HS Budé, Choong-Seock Chang, Lei Chen, RM Churchill, Jonathan Citrin, Jim A Gaffney, Ana Gainaru, et al.
[IEEE Transactions on Plasma Science, 2023]
DOI: 10.1109/TPS.2023.3268170
Driving Next-Generation Workflows from the Data Plane
Frédéric Suter, Rafael Ferreira Da Silva, Ana Gainaru, Scott Klasky
[IEEE 19th International Conference on e-Science (e-Science), 2023]
DOI: 10.1109/e-Science58273.2023.10254849
Scheduling and modeling
Priority-BF: a Task Manager for Priority-Based Scheduling
Ana Gainaru, Scott Klasky, Guillaume Pallez
[EURO-PAR 2025-31st International European Conference on Parallel and Distributed Computing, 2025]
A Performance Model of In-Situ Techniques
Yi Ju, Nicolas Vidal, Adalberto Perez, Ana Gainaru, et al.
[33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2025]
DOI: 10.1109/PDP66500.2025.00036
Profiles of upcoming HPC Applications and their Impact on Reservation Strategies
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez
[IEEE Transactions on Parallel and Distributed Systems, 2020]
Paper: stochastic_model.pdf
Reservation and Checkpointing Strategies for Stochastic Jobs
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez, Padma
Raghavan, Yves Robert, Hongyang Sun
[IPDPS 2020]
Paper: INRIA technical report
Performance and resiliency in HPC
Design and performance considerations for GPU-aware parallel I/O
Ana Gainaru, Norbert Podhorszki, Greg Eisenhauer, Vicente Bolea, Scott Klasky
[In submission to Cluster 2025]
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, et al.
[IEEE Transactions on Parallel and Distributed Systems, 2021]
DOI: 10.1109/TPDS.2021.3100784
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead
Hongyang Sun, Ana Gainaru, Manu Shantharam and Padma Raghavan
[IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2020]
(Presentation: video )
Using hardware gather-scatter capabilities to optimize MPI all-to-all
R Graham, A Gainaru
[US Patent 10,528,518]