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2020 – today
- 2024
[c29]Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun:
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. CCGrid 2024: 577-586- [c28]Maria Predescu
, Cosmin-Gabriel Samoila, Emil-Ioan Slusanschi, Ana Gainaru:
High-Throughput Computing: Case Study of Medical Image Processing Applications. FlexScience@HPDC 2024: 17-25 - [i7]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:
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR abs/2401.05994 (2024) - [i6]Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha:
AI-coupled HPC Workflow Applications, Middleware and Performance. CoRR abs/2406.14315 (2024) - [i5]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:
Streaming Data in HPC Workflows Using ADIOS. CoRR abs/2410.00178 (2024) - 2023
- [j7]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:
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24: 101590 (2023) - [c27]Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky:
Driving Next-Generation Workflows from the Data Plane. e-Science 2023: 1-10 - [c26]Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100 - [c25]William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. SC Workshops 2023: 1989-1999 - [e2]Ana Gainaru, Ce Zhang, Chunjie Luo:
Benchmarking, Measuring, and Optimizing - 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13852, Springer 2023, ISBN 978-3-031-31179-6 [contents] - [i4]William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. CoRR abs/2309.10292 (2023) - 2022
- [j6]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:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022) - [j5]Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky:
Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. 33(10): 4134-4147 (2022) - [c24]Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield:
Adaptive Generation of Training Data for ML Reduced Model Creation. IEEE Big Data 2022: 3408-3416 - [c23]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:
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER 2022: 218-229 - [c22]Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson:
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC 2022: v - 2021
- [j4]Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez:
Profiles of Upcoming HPC Applications and Their Impact on Reservation Strategies. IEEE Trans. Parallel Distributed Syst. 32(5): 1178-1190 (2021) - [c21]Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky:
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC 2021: 26-32 - [c20]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:
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118 - [c19]Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky:
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. SMC 2021: 119-138 - [i3]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:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021) - [i2]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:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021) - 2020
- [c18]Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun:
Reservation and Checkpointing Strategies for Stochastic Jobs. IPDPS 2020: 853-863 - [c17]Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan:
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. SBAC-PAD 2020: 141-148
2010 – 2019
- 2019
- [j3]Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan:
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j2]Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre:
I/O Scheduling Strategy for Periodic Applications. ACM Trans. Parallel Comput. 6(2): 7:1-7:26 (2019) - [c16]Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan:
Speculative Scheduling for Stochastic HPC Applications. ICPP 2019: 32:1-32:10 - [c15]Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun:
Reservation Strategies for Stochastic Jobs. IPDPS 2019: 166-175 - [c14]Ana Gainaru, Guillaume Pallez:
Making Speculative Scheduling Robust to Incomplete Data. ScalA@SC 2019: 62-71 - [e1]Bogdan Nicolae, Alexandru Costan, Dmitry Duplyakin, Ana Gainaru, Alexandru Uta, Carlos Costa:
Proceedings of the 10th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2019, Phoenix, AZ, USA, June 25, 2019. ACM 2019, ISBN 978-1-4503-6758-5 [contents] - 2018
- [c13]Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan:
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. IPDPS 2018: 194-203 - 2017
- [c12]Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre:
Periodic I/O Scheduling for Super-Computers. PMBS@SC 2017: 44-66 - [i1]Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre:
Periodic I/O scheduling for super-computers. CoRR abs/1702.06900 (2017) - 2016
- [c11]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 - [c10]Ana Gainaru, Richard L. Graham, Artem Y. Polyakov, Gilad Shainer:
Using InfiniBand Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All. EuroMPI 2016: 167-179 - 2015
- [b1]Ana Gainaru:
Failure avoidance techniques for HPC systems based on failure prediction. University of Illinois Urbana-Champaign, USA, 2015 - [c9]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 - 2013
- [j1]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) - [c8]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 - 2012
- [c7]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 - [c6]Ana Gainaru, Franck Cappello, Marc Snir, William Kramer:
Fault prediction under the microscope: a closer look into HPC systems. SC 2012: 77 - 2011
- [c5]Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, Bill Kramer:
Event Log Mining Tool for Large Scale HPC Systems. Euro-Par (1) 2011: 52-64 - [c4]Ana Gainaru, Emil Slusanschi, Stefan Trausan-Matu:
Mapping Data Mining Algorithms on a GPU Architecture: A Study. ISMIS 2011: 102-112 - [c3]Ana Gainaru, Emil Slusanschi:
Framework for Mapping Data Mining Applications on GPUs. ISPDC 2011: 71-78 - [c2]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
2000 – 2009
- 2009
- [c1]Ana Gainaru, Ciprian Dobre, Valentin Cristea:
A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs. VTC Spring 2009
Coauthor Index
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last updated on 2024-11-06 21:31 CET by the dblp team
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