KRASH: Reproducible CPU load generation on many-core machines. - Swann Perarnau; Guillaume Huard (IPDPS, 2010)

KRASH: reproducible CPU load generation on many cores machines. - Swann Perarnau; Guillaume Huard (PPoPP, 2010)

Random graph generation for scheduling simulations. - Daniel Cordeiro; Grégory Mounié; Swann Perarnau; Denis Trystram; Jean-Marc Vincent; Frédéric Wagner (SimuTools, 2010)

Quantitative Separation Logic and Programs with Lists. - Marius Bozga; Radu Iosif; Swann Perarnau (J. Autom. Reason., 2010)

Controlling cache utilization of HPC applications. - Swann Perarnau; Marc Tchiboukdjian; Guillaume Huard (ICS, 2011)

Environnements pour l'analyse expérimentale d'applications de calcul haute performance. (Environments for the experimental analysis of HPC applications). - Swann Perarnau (2011)

Victim Selection and Distributed Work Stealing Performance: A Case Study. - Swann Perarnau; Mitsuhisa Sato (IPDPS, 2014)

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 001; Barry Rountree (DAIS, 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 (IC2E, 2015)

Exploring Data Migration for Future Deep-Memory Many-Core Systems. - Swann Perarnau; Judicael A. Zounmevo; Balazs Gerofi; Kamil Iskra; Peter H. Beckman (CLUSTER, 2016)

Monitoring strategies for scalable dynamic checkpointing. - Swann Perarnau; Leonardo Bautista-Gomez (IGSC, 2016)

Reducing Waste in Extreme Scale Systems through Introspective Analysis. - Leonardo Arturo Bautista-Gomez; Ana Gainaru; Swann Perarnau; Devesh Tiwari; Saurabh Gupta 002; Christian Engelmann; Franck Cappello; Marc Snir (IPDPS, 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 001; Peter H. Beckman (IPDPS Workshops, 2016)

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 (IPDPS, 2017)

In Situ Workflows at Exascale: System Software to the Rescue. - Matthieu Dreher; Swann Perarnau; Tom Peterka; Kamil Iskra; Peter H. Beckman (ISAV@SC, 2017)

A Performance Model to Execute Workflows on High-Bandwidth-Memory Architectures. - Anne Benoit; Swann Perarnau; Loïc Pottier; Yves Robert (ICPP, 2018)

Argo. - Swann Perarnau; Brian C. Van Essen; Roberto Gioiosa; Kamil Iskra; Maya B. Gokhale; Kazutomo Yoshii; Peter H. Beckman (Operating Systems for Supercomputers and High Performance Computing, 2019)

Introduction to RADR 2019. - Peter H. Beckman; Emmanuel Jeannot; Swann Perarnau (IPDPS Workshops, 2019)

Understanding the Impact of Dynamic Power Capping on Application Progress. - Srinivasan Ramesh; Swann Perarnau; Sridutt Bhalachandra; Allen D. Malony; Peter H. Beckman (IPDPS, 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 (MCHPC@SC, 2019)

Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach. - Sophie Cerf; Raphaël Bleuse; Valentin Reis; Swann Perarnau; Éric Rutten (Euro-Par, 2021)

Narrowing the Search Space of Applications Mapping on Hierarchical Topologies. - Nicolas Denoyelle; Swann Perarnau; Brice Videau; Pete Beckman; Emmanuel Jeannot (PMBS, 2021)

Adaptive Power Control for Sober High-Performance Computing. - Ismail Hawila; Sophie Cerf; Raphaël Bleuse; Swann Perarnau; Éric Rutten (CCTA, 2022)

Workshop on Resource Arbitration for Dynamic Runtimes (RADR). - Pete Beckman; Emmanuel Jeannot; Swann Perarnau (IPDPS Workshops, 2022)

Rapid Execution Time Estimation for Heterogeneous Memory Systems Through Differential Tracing. - Nicolas Denoyelle; Swann Perarnau; Kamil Iskra; Balazs Gerofi (ISC, 2022)

A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes. - Akhilesh Raj; Swann Perarnau; Aniruddha Gokhale (IC2E, 2023)

Improving Simulations of Task-Based Applications on Complex NUMA Architectures. - Idriss Daoudi; Thierry Gautier; Samuel Thibault; Swann Perarnau (IWOMP, 2023)

Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations. - Akhilesh Raj; Robert E. Canady; Sanjana Das; Aniruddha Gokhale; Swann Perarnau (COMSNETS, 2024)

UpDown: Combining Scalable Address Translation with Locality Control. - Yuqing Wang; Swann Perarnau; Andrew A. Chien (SC Workshops, 2024)

THAPI: Tracing Heterogeneous APIs. - Solomon Bekele; Aurelio Vivas; Thomas Applencourt; Servesh Muralidharan; Bryce Allen; Kazutomo Yoshii; Swann Perarnau; Brice Videau (Euro-Par (1), 2025)

Charon: An End-to-End Infrastructure for Connecting AI@Edge to HPC. - Yongho Kim; Seongha Park; Swann Perarnau; Akhilesh Raj (IPDPS (Workshops), 2025)