NDLI: Improving the memory access locality of hybrid MPI applications

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Improving the memory access locality of hybrid MPI applications

Content Provider	ACM Digital Library
Author	Campbell, Michael Bodony, Daniel J. Diener, Matthias Freund, Jonathan B. Kale, Laxmikant V. White, Sam
Abstract	Maintaining memory access locality is continuing to be a challenge for parallel applications and their runtime environments. By exploiting locality, application performance, resource usage, and performance portability can be improved. The main challenge is to detect and fix memory locality issues for applications that use shared-memory programming models for intra-node parallelization. In this paper, we investigate improving memory access locality of a hybrid MPI+OpenMP application in two different ways, by manually fixing locality issues in its source code and by employing the Adaptive MPI (AMPI) runtime environment. Results show that AMPI can result in similar locality improvements as manual source code changes, leading to substantial performance and scalability gains compared to the unoptimized version and to a pure MPI runtime. Compared to the hybrid MPI+OpenMP baseline, our optimizations improved performance by 1.8x on a single cluster node, and by 1.4x on 32 nodes, with a speedup of 2.4x compared to a pure MPI execution on 32 nodes. In addition to performance, we also evaluate the impact of memory locality on the load balance within a node.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450348492
DOI	10.1145/3127024.3127038
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-09-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Memory access locality Openmp Mpi Ampi Load balancing Hybrid applications
Content Type	Text
Resource Type	Article

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