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Performance Optimization1
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Maximizing Scalability Performance in HOOMD-blue by Exploiting GPUDirect® RDMA on Green500 Supercomputer
Abstract:
To demonstrate the application performance improvement using GPUDirect RDMA, we utilized a general-purpose GPU Molecular Dynamics simulation application called HOOMD-blue. The code was modified and tuned for GPUDirect RDMA and for dual GPU/InfiniBand configuration in order to exploit higher scalability performance than ever achieved on this energy-efficient cluster before the introduction of GPUDirect RDMA. The goal is to present the improvements seen in the application performance of HOOMD-blue, as well as to show the best practices for properly configuring and running GPUDirect RDMA over both of the GPUs and the dual FDR InfiniBand hardware available on the Wilkes supercomputer.
 
Topics:
Performance Optimization1, Computational Physics, Life & Material Science, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5169
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