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Special Topics

EPJ B Colloquium: Large scale simulations on GPU clusters

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Published on 15 June 2015
Optimal partitioning for 1024 processors of an irregular domain representing a full coronary tree

Graphics Processing Units (GPU) are currently used as a cost-effective platform for computer simulations and big-data processing. Large scale applications require that multiple GPUs work together, but the efficiency obtained with cluster of GPUs is, at times, suboptimal because the GPU features are not exploited at their best.

In this EPJ B Colloquium, Massimo Bernaschi and colleagues describe how it is possible to achieve an excellent efficiency for applications in statistical mechanics, particle dynamics and networks analysis by using suitable memory access patterns and mechanisms like CUDA streams, profiling tools, etc. Similar concepts and techniques may be applied also to other problems like the solution of Partial Differential Equations.

Massimo Bernaschi, Mauro Bisson, and Massimiliano Fatica (2015),
Colloquium: Large scale simulations on GPU clusters,
European Physical Journal B, DOI: 10.1140/epjb/e2015-60180-8

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Sandrine Karpe and Vijala Kiruvanayagam (EDP Sciences) and Sabine Lehr (Springer-Verlag)
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Dear Sabine,
For me it was a great pleasure to work with you, Christian and Isabelle. All questions have been resolved very fast. And amiability and competence of Isabelle are inestimable. Best regards,

Natasha Kirova, CNRS & University Paris Sud, Orsay, France
Editor EPJ Special Topics 222/5, 2013

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ISSN: 1951-6355 (Print Edition)
ISSN: 1951-6401 (Electronic Edition)

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