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 | 246 | 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 | 48 | 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 | 37* | 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 | 29 | 2015 |
Controlling cache utilization of hpc applications S Perarnau, M Tchiboukdjian, G Huard Proceedings of the international conference on Supercomputing, 295-304, 2011 | 28 | 2011 |
Quantitative separation logic and programs with lists M Bozga, R Iosif, S Perarnau Journal of Automated Reasoning 45 (2), 131-156, 2010 | 28 | 2010 |
Victim selection and distributed work stealing performance: A case study S Perarnau, M Sato 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 27 | 2014 |
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 | 25 | 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 | 24 | 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 | 24 | 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 | 22 | 2016 |
Quantitative separation logic and programs with lists M Bozga, R Iosif, S Perarnau International Joint Conference on Automated Reasoning, 34-49, 2008 | 20 | 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 | 19 | 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 | 15 | 2021 |
Krash: reproducible CPU load generation on many cores machines S Perarnau, G Huard ACM Sigplan Notices 45 (5), 327-328, 2010 | 14 | 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 | 8 | 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 | 8 | 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 | 7 | 2017 |
Monitoring strategies for scalable dynamic checkpointing S Perarnau, L Bautista-Gomez 2016 Seventh International Green and Sustainable Computing Conference (IGSC …, 2016 | 5 | 2016 |
Toward automated cache partitioning for the K computer S Perarnau, M Sato IPSJ SIG-HPC, 2012 | 4 | 2012 |