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Swann Perarnau
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2020 – today
- 2024
- [c28]Akhilesh Raj, Robert E. Canady
, Sanjana Das, Aniruddha Gokhale, Swann Perarnau:
Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations. COMSNETS 2024: 568-571 - [c27]Yuqing Wang, Swann Perarnau, Andrew A. Chien:
UpDown: Combining Scalable Address Translation with Locality Control. SC Workshops 2024: 1014-1024 - 2023
- [c26]Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale:
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes. IC2E 2023: 121-130 - [c25]Idriss Daoudi
, Thierry Gautier, Samuel Thibault
, Swann Perarnau
:
Improving Simulations of Task-Based Applications on Complex NUMA Architectures. IWOMP 2023: 195-209 - [i2]Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale:
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes. CoRR abs/2308.08069 (2023) - 2022
- [c24]Ismail Hawila, Sophie Cerf, Raphaël Bleuse, Swann Perarnau, Éric Rutten:
Adaptive Power Control for Sober High-Performance Computing. CCTA 2022: 403-410 - [c23]Pete Beckman, Emmanuel Jeannot, Swann Perarnau:
Workshop on Resource Arbitration for Dynamic Runtimes (RADR). IPDPS Workshops 2022: 1011-1013 - [c22]Nicolas Denoyelle, Swann Perarnau, Kamil Iskra
, Balazs Gerofi:
Rapid Execution Time Estimation for Heterogeneous Memory Systems Through Differential Tracing. ISC 2022: 256-274 - 2021
- [c21]Sophie Cerf
, Raphaël Bleuse
, Valentin Reis, Swann Perarnau
, Éric Rutten
:
Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach. Euro-Par 2021: 334-349 - [c20]Nicolas Denoyelle, Swann Perarnau, Brice Videau
, Pete Beckman, Emmanuel Jeannot:
Narrowing the Search Space of Applications Mapping on Hierarchical Topologies. PMBS 2021: 118-128 - [i1]Éric Rutten, Sophie Cerf, Raphaël Bleuse, Valentin Reis, Swann Perarnau:
Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach. CoRR abs/2107.02426 (2021) - 2020
- [c19]Peter H. Beckman, Emmanuel Jeannot, Swann Perarnau:
Workshop on Resource Arbitration for Dynamic Runtimes (RADR). IPDPS Workshops 2020: 947-949
2010 – 2019
- 2019
- [c18]Srinivasan Ramesh, Swann Perarnau, Sridutt Bhalachandra, Allen D. Malony, Peter H. Beckman:
Understanding the Impact of Dynamic Power Capping on Application Progress. IPDPS 2019: 793-804 - [c17]Peter H. Beckman, Emmanuel Jeannot, Swann Perarnau:
Introduction to RADR 2019. IPDPS Workshops 2019: 908-910 - [c16]Swann Perarnau, Brice Videau
, Nicolas Denoyelle, Florence Monna, Kamil Iskra
, Peter H. Beckman:
Explicit Data Layout Management for Autotuning Exploration on Complex Memory Topologies. MCHPC@SC 2019: 58-63 - [p1]Swann Perarnau, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra
, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman:
Argo. Operating Systems for Supercomputers and High Performance Computing 2019: 199-220 - 2018
- [c15]Anne Benoit
, Swann Perarnau, Loïc Pottier
, Yves Robert:
A Performance Model to Execute Workflows on High-Bandwidth-Memory Architectures. ICPP 2018: 36:1-36:10 - 2017
- [c14]Swann Perarnau, Judicael A. Zounmevo, Matthieu Dreher, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra
, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman:
Argo NodeOS: Toward Unified Resource Management for Exascale. IPDPS 2017: 153-162 - [c13]Matthieu Dreher, Swann Perarnau, Tom Peterka, Kamil Iskra
, Peter H. Beckman:
In Situ Workflows at Exascale: System Software to the Rescue. ISAV@SC 2017: 22-26 - 2016
- [c12]Swann Perarnau, Judicael A. Zounmevo, Balazs Gerofi, Kamil Iskra
, Peter H. Beckman:
Exploring Data Migration for Future Deep-Memory Many-Core Systems. CLUSTER 2016: 289-297 - [c11]Swann Perarnau, Leonardo Bautista-Gomez:
Monitoring strategies for scalable dynamic checkpointing. IGSC 2016: 1-8 - [c10]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 - [c9]Daniel A. Ellsworth, Tapasya Patki
, Swann Perarnau, Sangmin Seo, Abdelhalim Amer, Judicael A. Zounmevo, Rinku Gupta
, Kazutomo Yoshii, Henry Hoffmann, Allen D. Malony, Martin Schulz
, Peter H. Beckman:
Systemwide Power Management with Argo. IPDPS Workshops 2016: 1118-1121 - 2015
- [c8]Swann Perarnau, Rajeev Thakur
, Kamil Iskra
, Ken Raffenetti, Franck Cappello, Rinku Gupta, Peter H. Beckman, Marc Snir, Henry Hoffmann, Martin Schulz
, Barry Rountree:
Distributed Monitoring and Management of Exascale Systems in the Argo Project. DAIS 2015: 173-178 - [c7]Judicael A. Zounmevo, Swann Perarnau, Kamil Iskra
, Kazutomo Yoshii, Roberto Gioiosa, Brian Van Essen, Maya B. Gokhale, Edgar A. León
:
A Container-Based Approach to OS Specialization for Exascale Computing. IC2E 2015: 359-364 - 2014
- [c6]Swann Perarnau, Mitsuhisa Sato:
Victim Selection and Distributed Work Stealing Performance: A Case Study. IPDPS 2014: 659-668 - 2011
- [b1]Swann Perarnau:
Environnements pour l'analyse expérimentale d'applications de calcul haute performance. (Environments for the experimental analysis of HPC applications). Grenoble Alpes University, France, 2011 - [c5]Swann Perarnau, Marc Tchiboukdjian, Guillaume Huard:
Controlling cache utilization of HPC applications. ICS 2011: 295-304 - 2010
- [j1]Marius Bozga, Radu Iosif, Swann Perarnau:
Quantitative Separation Logic and Programs with Lists. J. Autom. Reason. 45(2): 131-156 (2010) - [c4]Swann Perarnau, Guillaume Huard:
KRASH: Reproducible CPU load generation on many-core machines. IPDPS 2010: 1-10 - [c3]Swann Perarnau, Guillaume Huard:
KRASH: reproducible CPU load generation on many cores machines. PPoPP 2010: 327-328 - [c2]Daniel Cordeiro
, Grégory Mounié, Swann Perarnau, Denis Trystram, Jean-Marc Vincent, Frédéric Wagner:
Random graph generation for scheduling simulations. SimuTools 2010: 60
2000 – 2009
- 2008
- [c1]Marius Bozga, Radu Iosif, Swann Perarnau:
Quantitative Separation Logic and Programs with Lists. IJCAR 2008: 34-49
Coauthor Index
aka: Peter H. Beckman

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last updated on 2025-01-22 20:33 CET by the dblp team
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