Maxime Martinasso

According to our database, Maxime Martinasso authored at least 22 papers between 2005 and 2024.

Collaborative distances:

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

2024

Interactive and Urgent HPC: Challenges and Opportunities.

Albert Reuther, Nick Brown, William Arndt, Johannes P. Blaschke, Christian Boehme, Antony Chazapis, Bjoern Enders, Robert Henschel, Julian M. Kunkel, Maxime Martinasso

CoRR, 2024

2023

Versatile software-defined HPC and cloud clusters on Alps supercomputer for diverse workflows.

Sadaf R. Alam, Miguel Gila, Mark Klein, Maxime Martinasso, Thomas C. Schulthess

Int. J. High Perform. Comput. Appl., July, 2023

2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin

CoRR, 2021

A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures.

Christopher Haine, Utz-Uwe Haus, Maxime Martinasso, Dirk Pleiter, François Tessier, Domokos Sarmany, Simon D. Smart, Tiago Quintino, Adrian Tate

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

Multi-tenancy Management and Zero Downtime Upgrades using Cray-HPE Shasta Supercomputers.

Sadaf R. Alam, Miguel Gila, Mark Klein, Maxime Martinasso

Proceedings of the 2021 SC Workshops Supplementary Proceedings, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

2020

Cray programming environments within containers on Cray XC systems.

Maxime Martinasso, Miguel Gila, William Sawyer, Rafael Sarmiento-Pérez, Guilherme Peretti-Pezzi, Vasileios Karakasis

Concurr. Comput. Pract. Exp., 2020

FirecREST: a RESTful API to HPC systems.

Felipe A. Cruz, Alejandro J. Dabin, Juan Pablo Dorsch, Eirini Koutsaniti, Nelson F. Lezcano, Maxime Martinasso, Dario Petrusic

Proceedings of the IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies, 2020

Dynamic Provisioning of Storage Resources: A Case Study with Burst Buffers.

Francois Tessier, Maxime Martinasso, Matteo Chesi, Mark Klein, Miguel Gila

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

FirecREST: RESTful API on Cray XC systems.

Felipe A. Cruz, Maxime Martinasso

CoRR, 2019

Dynamically Provisioning Cray DataWarp Storage.

François Tessier, Maxime Martinasso, Matteo Chesi, Mark Klein, Miguel Gila

CoRR, 2019

Interactive Supercomputing for Experimental Data-Driven Workflows.

Mark Klein, Maxime Martinasso, Siew Hoon Leong, Sadaf R. Alam

Proceedings of the Tools and Techniques for High Performance Computing, 2019

2018

RM-replay: a high-fidelity tuning, optimization and exploration tool for resource management.

Maxime Martinasso, Miguel Gila, Mauro Bianco, Sadaf R. Alam, Colin McMurtrie, Thomas C. Schulthess

Proceedings of the International Conference for High Performance Computing, 2018

A fast scalable implicit solver for nonlinear time-evolution earthquake city problem on low-ordered unstructured finite elements with artificial intelligence and transprecision computing.

Tsuyoshi Ichimura, Kohei Fujita, Takuma Yamaguchi, Akira Naruse, Jack C. Wells, Thomas C. Schulthess, Tjerk P. Straatsma, Christopher Zimmer, Maxime Martinasso, Kengo Nakajima, Muneo Hori, Lalith Maddegedara

Proceedings of the International Conference for High Performance Computing, 2018

2016

A PCIe congestion-aware performance model for densely populated accelerator servers.

Maxime Martinasso, Grzegorz Kwasniewski, Sadaf R. Alam, Thomas C. Schulthess, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2016

2011

A Contention-Aware Performance Model for HPC-Based Networks: A Case Study of the InfiniBand Network.

Maxime Martinasso, Jean-François Méhaut

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2008

Modèle de communications concurrentes sur des grappes SMP.

Maxime Martinasso, Jean-François Méhaut

Tech. Sci. Informatiques, 2008

Assessing contention effects of all-to-all communications on clusters and grids.

Luiz Angelo Steffenel, Maxime Martinasso, Denis Trystram

Int. J. Pervasive Comput. Commun., 2008

Predictive models for bandwidth sharing in high performance clusters.

Jérôme Vienne, Maxime Martinasso, Jean-Marc Vincent, Jean-François Méhaut

Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008

2007

Analyse et modélisation des communications concurrentes dans les réseaux haute performance. (Analysis and modelling of concurrent communications over high performance networks).

Maxime Martinasso

PhD thesis, 2007

Assessing Contention Effects on MPI_Alltoall Communications.

Luiz Angelo Steffenel, Maxime Martinasso, Denis Trystram

Proceedings of the Advances in Grid and Pervasive Computing, 2007

2005

Prediction of Communication Latency over Complex Network Behaviors on SMP Clusters.

Maxime Martinasso, Jean-François Méhaut

Proceedings of the Formal Techniques for Computer Systems and Business Processes, 2005