Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marc Sergent"'
Publikováno v:
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, New Orleans, United States. pp.958-966, ⟨10.1109/IPDPSW50202.2020.00159⟩
IPDPS Workshops
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, New Orleans, United States. pp.958-966, ⟨10.1109/IPDPSW50202.2020.00159⟩
IPDPS Workshops
Scientific computations require everlasting performance increase, up to the Exascale and beyond. To cope with this need at hardware level, the current trend is to emphasize architectures with a high number of cores and complex memory hierarchies. Tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc09bd33f201792fc74389578160b9e7
https://hal.archives-ouvertes.fr/hal-03293226
https://hal.archives-ouvertes.fr/hal-03293226
Publikováno v:
EuroMPI
MPI One-sided communications have the potential to increase applications performance by reducing the noise on remote processors. They consist in Remote Memory Accesses roughly orchestrated in two types of operations: memory synchronizations and actua
Autor:
Marc Pérache, Guillaume Papauré, Marc Sergent, Mario Dagrada, Patrick Carribault, Julien Jaeger
Publikováno v:
Euro-Par 2018: Parallel Processing ISBN: 9783319969824
Euro-Par
Euro-Par
Overlap network communications and computations is a major requirement to ensure scalability of HPC applications on future exascale machines. To this purpose the de-facto MPI standard provides non-blocking routines for asynchronous communication prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82093fd5190f96aadcd96d4069a1cb92
https://doi.org/10.1007/978-3-319-96983-1_40
https://doi.org/10.1007/978-3-319-96983-1_40
Autor:
Olivier Aumage, Nathalie Furmento, Florent Pruvost, Mathieu Faverge, Emmanuel Agullo, Samuel Thibault, Marc Sergent
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TPDS.2017.2766064⟩
IEEE Transactions on Parallel and Distributed Systems, inPress, ⟨10.1109/TPDS.2017.2766064⟩
IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TPDS.2017.2766064⟩
IEEE Transactions on Parallel and Distributed Systems, inPress, ⟨10.1109/TPDS.2017.2766064⟩
International audience; The emergence of accelerators as standard computing resources on supercomputers and the subsequent architectural complexity increase revived the need for high-level parallel programming paradigms. Sequential task-based program
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c929bd26a766e957f245f291fd90478e
https://hal.inria.fr/hal-01618526/document
https://hal.inria.fr/hal-01618526/document
Publikováno v:
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
21st International Workshop on High-Level Parallel Programming Models and Supportive Environments
21st International Workshop on High-Level Parallel Programming Models and Supportive Environments, May 2016, Chicago, United States. ⟨10.1109/IPDPSW.2016.105⟩
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2016)
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2016), Apr 2016, Paris, France. pp.318-327
IPDPS Workshops
21st International Workshop on High-Level Parallel Programming Models and Supportive Environments
21st International Workshop on High-Level Parallel Programming Models and Supportive Environments, May 2016, Chicago, United States. ⟨10.1109/IPDPSW.2016.105⟩
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2016)
SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2016), Apr 2016, Paris, France. pp.318-327
IPDPS Workshops
International audience; The ever-increasing supercomputer architectural complexity emphasizes the need for high-level parallel programming paradigms. Among such paradigms, task-based programming manages to abstract away much of the architecture compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bf84abb52e3b8c5520c8ad90e82b471
https://inria.hal.science/hal-01284004/document
https://inria.hal.science/hal-01284004/document