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pro vyhledávání: '"SPMD"'
Single-Program-Multiple-Data (SPMD) parallelism has recently been adopted to train large deep neural networks (DNNs). Few studies have explored its applicability on heterogeneous clusters, to fully exploit available resources for large model learning
Externí odkaz:
http://arxiv.org/abs/2401.05965
Autor:
Alabed, Sami, Belov, Daniel, Chrzaszcz, Bart, Franco, Juliana, Grewe, Dominik, Maclaurin, Dougal, Molloy, James, Natan, Tom, Norman, Tamara, Pan, Xiaoyue, Paszke, Adam, Rink, Norman A., Schaarschmidt, Michael, Sitdikov, Timur, Swietlik, Agnieszka, Vytiniotis, Dimitrios, Wee, Joel
Training of modern large neural networks (NN) requires a combination of parallelization strategies encompassing data, model, or optimizer sharding. When strategies increase in complexity, it becomes necessary for partitioning tools to be 1) expressiv
Externí odkaz:
http://arxiv.org/abs/2401.11202
Autor:
Alabed, Sami, Grewe, Dominik, Franco, Juliana, Chrzaszcz, Bart, Natan, Tom, Norman, Tamara, Rink, Norman A., Vytiniotis, Dimitrios, Schaarschmidt, Michael
Large neural network models are commonly trained through a combination of advanced parallelism strategies in a single program, multiple data (SPMD) paradigm. For example, training large transformer models requires combining data, model, and pipeline
Externí odkaz:
http://arxiv.org/abs/2210.06352
Autor:
Tirado, Felipe1,2 (AUTHOR) felipeleonardo.tirado@autonoma.cat, Wong, Alvaro1 (AUTHOR), Rexachs, Dolores1 (AUTHOR), Luque, Emilio1 (AUTHOR)
Publikováno v:
Journal of Supercomputing. Nov2022, Vol. 78 Issue 17, p19346-19371. 26p.
Kniha
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Autor:
Furquim, Gustavo Antonio
Este trabalho apresenta a implementação e a utilização da migração de processos SPMD (Single Program Multiple Data), a qual realiza somente a transferência dos dados, que estão sendo manipulados pelo processo, para realizar a migração. Seu
Autor:
Dabrowski, Frédéric
Publikováno v:
In Journal of Logical and Algebraic Methods in Programming November 2019 108:90-104
Autor:
Dabrowski, Frédéric1 (AUTHOR) frederic.dabrowski@univ-orleans.fr
Publikováno v:
International Journal of Parallel Programming. Dec2021, Vol. 49 Issue 6, p802-819. 18p.
Publikováno v:
Journal of Parallel and Distributed Computing (JPDC), March, 2011
The simple program and multiple data (SPMD) programming model is widely used for both high performance computing and Cloud computing. In this paper, we design and implement an innovative system, AutoAnalyzer, that automates the process of debugging p
Externí odkaz:
http://arxiv.org/abs/1103.6087
Publikováno v:
In Procedia - Social and Behavioral Sciences 17 October 2016 233:220-224