Swann Perarnau

According to our database, Swann Perarnau authored at least 28 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations.

Akhilesh Raj, Robert E. Canady, Sanjana Das, Aniruddha Gokhale, Swann Perarnau

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2023

Improving Simulations of Task-Based Applications on Complex NUMA Architectures.

Idriss Daoudi, Thierry Gautier, Samuel Thibault, Swann Perarnau

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes.

Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale

Proceedings of the IEEE International Conference on Cloud Engineering, 2023

2022

Rapid Execution Time Estimation for Heterogeneous Memory Systems Through Differential Tracing.

Nicolas Denoyelle, Swann Perarnau, Kamil Iskra, Balazs Gerofi

Proceedings of the High Performance Computing - 37th International Conference, 2022

Workshop on Resource Arbitration for Dynamic Runtimes (RADR).

Pete Beckman, Emmanuel Jeannot, Swann Perarnau

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Adaptive Power Control for Sober High-Performance Computing.

Ismail Hawila, Sophie Cerf, Raphaël Bleuse, Swann Perarnau, Éric Rutten

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Narrowing the Search Space of Applications Mapping on Hierarchical Topologies.

Nicolas Denoyelle, Swann Perarnau, Brice Videau, Pete Beckman, Emmanuel Jeannot

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach.

Sophie Cerf, Raphaël Bleuse, Valentin Reis, Swann Perarnau, Éric Rutten

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2019

Explicit Data Layout Management for Autotuning Exploration on Complex Memory Topologies.

Swann Perarnau, Brice Videau, Nicolas Denoyelle, Florence Monna, Kamil Iskra, Peter H. Beckman

Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019

Understanding the Impact of Dynamic Power Capping on Application Progress.

Srinivasan Ramesh, Swann Perarnau, Sridutt Bhalachandra, Allen D. Malony, Peter H. Beckman

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Introduction to RADR 2019.

Peter H. Beckman, Emmanuel Jeannot, Swann Perarnau

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Argo.

Swann Perarnau, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman

Proceedings of the Operating Systems for Supercomputers and High Performance Computing, 2019

2018

A Performance Model to Execute Workflows on High-Bandwidth-Memory Architectures.

Anne Benoit, Swann Perarnau, Loïc Pottier, Yves Robert

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

In Situ Workflows at Exascale: System Software to the Rescue.

Matthieu Dreher, Swann Perarnau, Tom Peterka, Kamil Iskra, Peter H. Beckman

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Argo NodeOS: Toward Unified Resource Management for Exascale.

Swann Perarnau, Judicael A. Zounmevo, Matthieu Dreher, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Systemwide Power Management with Argo.

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

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Reducing Waste in Extreme Scale Systems through Introspective Analysis.

Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Monitoring strategies for scalable dynamic checkpointing.

Swann Perarnau, Leonardo Bautista-Gomez

Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016

Exploring Data Migration for Future Deep-Memory Many-Core Systems.

Swann Perarnau, Judicael A. Zounmevo, Balazs Gerofi, Kamil Iskra, Peter H. Beckman

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015

A Container-Based Approach to OS Specialization for Exascale Computing.

Judicael A. Zounmevo, Swann Perarnau, Kamil Iskra, Kazutomo Yoshii, Roberto Gioiosa, Brian Van Essen, Maya B. Gokhale, Edgar A. León

Proceedings of the 2015 IEEE International Conference on Cloud Engineering, 2015

Distributed Monitoring and Management of Exascale Systems in the Argo Project.

Swann Perarnau, Rajeev Thakur, Kamil Iskra, Ken Raffenetti, Franck Cappello, Rinku Gupta, Peter H. Beckman, Marc Snir, Henry Hoffmann, Martin Schulz, Barry Rountree

Proceedings of the Distributed Applications and Interoperable Systems, 2015

2014

Victim Selection and Distributed Work Stealing Performance: A Case Study.

Swann Perarnau, Mitsuhisa Sato

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2011

Environnements pour l'analyse expérimentale d'applications de calcul haute performance. (Environments for the experimental analysis of HPC applications).

Swann Perarnau

PhD thesis, 2011

Controlling cache utilization of HPC applications.

Swann Perarnau, Marc Tchiboukdjian, Guillaume Huard

Proceedings of the 25th International Conference on Supercomputing, 2011, Tucson, AZ, USA, May 31, 2011

2010

Quantitative Separation Logic and Programs with Lists.

Marius Bozga, Radu Iosif, Swann Perarnau

J. Autom. Reason., 2010

Random graph generation for scheduling simulations.

Daniel Cordeiro, Grégory Mounié, Swann Perarnau, Denis Trystram, Jean-Marc Vincent, Frédéric Wagner

Proceedings of the 3rd International Conference on Simulation Tools and Techniques, 2010

KRASH: reproducible CPU load generation on many cores machines.

Swann Perarnau, Guillaume Huard

Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2010

KRASH: Reproducible CPU load generation on many-core machines.

Swann Perarnau, Guillaume Huard

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010