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Ana Gainaru
Ana Gainaru
Bestätigte E-Mail-Adresse bei ornl.gov - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Fault prediction under the microscope: A closer look into HPC systems
A Gainaru, F Cappello, M Snir, W Kramer
Proceedings of the International Conference on High Performance Computing …, 2012
1792012
Modeling and tolerating heterogeneous failures in large parallel systems
E Heien, D Kondo, A Gainaru, D LaPine, B Kramer, F Cappello
High Performance Computing, Networking, Storage and Analysis (SC), 2011 …, 2011
1272011
Scheduling the I/O of HPC applications under congestion
A Gainaru, G Aupy, A Benoit, F Cappello, Y Robert, M Snir
2015 IEEE International Parallel and Distributed Processing Symposium, 1013-1022, 2015
1262015
Taming of the shrew: Modeling the normal and faulty behaviour of large-scale hpc systems
A Gainaru, F Cappello, W Kramer
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
1112012
Improving the computing efficiency of HPC systems using a combination of proactive and preventive checkpointing
MS Bouguerra, A Gainaru, LB Gomez, F Cappello, S Matsuoka, ...
Parallel & Distributed Processing (IPDPS), 2013 IEEE 27th International …, 2013
772013
Failure prediction for HPC systems and applications: Current situation and open issues
A Gainaru, F Cappello, M Snir, W Kramer
The International Journal of High Performance Computing Applications 27 (3 …, 2013
642013
Event log mining tool for large scale HPC systems
A Gainaru, F Cappello, S Trausan-Matu, B Kramer
European Conference on Parallel Processing, 52-64, 2011
612011
A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs
A Gainaru, C Dobre, V Cristea
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, 1-5, 2009
602009
Adaptive event prediction strategy with dynamic time window for large-scale hpc systems
A Gainaru, F Cappello, J Fullop, S Trausan-Matu, W Kramer
Managing Large-scale Systems via the Analysis of System Logs and the …, 2011
542011
Reducing waste in extreme scale systems through introspective analysis
L Bautista-Gomez, A Gainaru, S Perarnau, D Tiwari, S Gupta, ...
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
482016
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling
H Sun, R Elghazi, A Gainaru, G Aupy, P Raghavan
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
292018
Periodic I/O scheduling for super-computers
G Aupy, A Gainaru, V Le Fèvre
International Workshop on Performance Modeling, Benchmarking and Simulation …, 2017
272017
2022 review of data-driven plasma science
R Anirudh, R Archibald, MS Asif, MM Becker, S Benkadda, PT Bremer, ...
IEEE Transactions on Plasma Science, 2023
252023
Mapping data mining algorithms on a GPU architecture: a study
A Gainaru, E Slusanschi, S Trausan-Matu
International Symposium on Methodologies for Intelligent Systems, 102-112, 2011
202011
Reservation Strategies for Stochastic Jobs
G Aupy, A Gainaru, V Honoré, P Raghavan, Y Robert, H Sun
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
162019
Using Infiniband Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All
A Gainaru, RL Graham, A Polyakov, G Shainer
Proceedings of the 23rd European MPI Users' Group Meeting, 167-179, 2016
152016
Errors and Faults
A Gainaru, F Cappello
Fault-Tolerance Techniques for High-Performance Computing, 89-144, 2015
152015
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
L Wan, A Huebl, J Gu, F Poeschel, A Gainaru, R Wang, J Chen, X Liang, ...
IEEE Transactions on Parallel and Distributed Systems 33 (4), 878-890, 2021
142021
Speculative scheduling for stochastic HPC applications
A Gainaru, GP Aupy, H Sun, P Raghavan
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
132019
Scheduling the I/O of HPC applications under congestion
A Gainaru, G Aupy, A Benoit, F Cappello, Y Robert, M Snir
LIP; INRIA, 2014
122014
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