2019 Impact factor 1.347
Condensed Matter and Complex Systems

EPJ B Colloquium: Large scale simulations on GPU clusters

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.

Editors-in-Chief:
E. Hernandez and H. Rieger
I am naturally indebted to you and the referees who contributed to this success with your time and constructive advice.

Hamid Assadi

ISSN (Print Edition): 1434-6028
ISSN (Electronic Edition): 1434-6036

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