Benchmarking multi‐GPU applications on modern multi‐GPU integrated systems-Reference-Cited by-同舟云学术

Benchmarking multi‐GPU applications on modern multi‐GPU integrated systems

Published:2019-08-08 Issue:14 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Bernaschi Massimo¹^ORCID,Agostini Elena²^ORCID,Rossetti Davide²^ORCID

Affiliation:

1. National Research Council Rome Italy

2. NVIDIA Santa Clara California

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5470

Reference22 articles.

1. An introduction to multi-GPU programming for physicists

2. PhillipsE FaticaM.Implementing the Himeno benchmark with CUDA on GPU clusters. Paper presented at: IEEE International Symposium on Parallel and Distributed Processing;2010;Atlanta GA.

3. CoatesA HuvalB WangT WuD NgA CatanzaroB.Deep learning with COTS HPC systems. Paper presented at: International Conference on Machine Learning;2013;Atlanta GA.

4. Efficient breadth first search on multi-GPU systems

5. SergeevA Del BalsoM.Horovod: fast and easy distributed deep learning in TensorFlow.2019. arXiv:1802.05799.

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