Swann Perarnau
Cited by
Cited by
Random graph generation for scheduling simulations
D Cordeiro, G Mounié, S Perarnau, D Trystram, JM Vincent, F Wagner
3rd International ICST Conference on Simulation Tools and Techniques …, 2010
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
Argo: An exascale operating system and runtime
S Perarnau, R Gupta, P Beckman, P Balaji, C Bordage, G Bosilca, ...
The International Conference for High Performance Computing, Networking …, 2015
Distributed monitoring and management of exascale systems in the Argo project
S Perarnau, R Thakur, K Iskra, K Raffenetti, F Cappello, R Gupta, ...
Distributed Applications and Interoperable Systems: 15th IFIP WG 6.1 …, 2015
Controlling cache utilization of hpc applications
S Perarnau, M Tchiboukdjian, G Huard
Proceedings of the international conference on Supercomputing, 295-304, 2011
Victim selection and distributed work stealing performance: A case study
S Perarnau, M Sato
2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014
Quantitative separation logic and programs with lists
M Bozga, R Iosif, S Perarnau
Journal of Automated Reasoning 45 (2), 131-156, 2010
Systemwide power management with Argo
D Ellsworth, T Patki, S Perarnau, S Seo, A Amer, J Zounmevo, R Gupta, ...
2016 IEEE International Parallel and Distributed Processing Symposium …, 2016
Understanding the impact of dynamic power capping on application progress
S Ramesh, S Perarnau, S Bhalachandra, AD Malony, P Beckman
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
A container-based approach to OS specialization for exascale computing
JA Zounmevo, S Perarnau, K Iskra, K Yoshii, R Gioiosa, BC Van Essen, ...
2015 IEEE International Conference on Cloud Engineering, 359-364, 2015
Exploring data migration for future deep-memory many-core systems
S Perarnau, JA Zounmevo, B Gerofi, K Iskra, P Beckman
2016 IEEE International Conference on Cluster Computing (CLUSTER), 289-297, 2016
Quantitative separation logic and programs with lists
M Bozga, R Iosif, S Perarnau
International Joint Conference on Automated Reasoning, 34-49, 2008
Argo NodeOS: Toward unified resource management for exascale
S Perarnau, JA Zounmevo, M Dreher, BC Van Essen, R Gioiosa, K Iskra, ...
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Sustaining performance while reducing energy consumption: a control theory approach
S Cerf, R Bleuse, V Reis, S Perarnau, E Rutten
Euro-Par 2021: Parallel Processing: 27th International Conference on …, 2021
Krash: reproducible CPU load generation on many cores machines
S Perarnau, G Huard
ACM Sigplan Notices 45 (5), 327-328, 2010
Explicit data layout management for autotuning exploration on complex memory topologies
S Perarnau, B Videau, N Denoyelle, F Monna, K Iskra, P Beckman
2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC …, 2019
A performance model to execute workflows on high-bandwidth-memory architectures
A Benoit, S Perarnau, L Pottier, Y Robert
Proceedings of the 47th International Conference on Parallel Processing, 1-10, 2018
In situ workflows at exascale: system software to the rescue
M Dreher, S Perarnau, T Peterka, K Iskra, P Beckman
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale …, 2017
Monitoring strategies for scalable dynamic checkpointing
S Perarnau, L Bautista-Gomez
2016 Seventh International Green and Sustainable Computing Conference (IGSC …, 2016
Toward automated cache partitioning for the K computer
S Perarnau, M Sato
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