Benefits of Topology Aware Mapping for Mesh Interconnects

Author:

Bhatelé Abhinav1,Kalé Laxmikant V.1

Affiliation:

1. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA

Abstract

The fastest supercomputers today such as Blue Gene/L, Blue Gene/P, Cray XT3 and XT4 are connected by a three-dimensional torus/mesh interconnect. Applications running on these machines can benefit from topology-awareness while mapping tasks to processors at runtime. By co-locating communicating tasks on nearby processors, the distance traveled by messages and hence the communication traffic can be minimized, thereby reducing communication latency and contention on the network. This paper describes preliminary work utilizing this technique and performance improvements resulting from it in the context of a n-dimensional k-point stencil program. It shows that even for simple benchmarks, topology-aware mapping can have a significant impact on performance. Automated topology-aware mapping by the runtime using similar ideas can relieve the application writer from this burden and result in better performance. Preliminary work towards achieving this for a molecular dynamics application, NAMD, is also presented. Results on up to 32,768 processors of IBM's Blue Gene/L, 4,096 processors of IBM's Blue Gene/P and 2,048 processors of Cray's XT3 support the ideas discussed in the paper.

Publisher

World Scientific Pub Co Pte Lt

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference14 articles.

1. Laxmikant V. Kale, Petascale Computing: Algorithms and Applications, ed. D. Bader (Chapman & Hall, CRC Press, 2008) pp. 421–441.

2. L. V. Kale and Sanjeev Krishnan, Parallel Programming using C++, eds. Gregory V. Wilson and Paul Lu (MIT Press, 1996) pp. 175–213.

3. Klaus Schulten, Petascale Computing: Algorithms and Applications, ed. D. Bader (Chapman & Hall, CRC Press, 2008) pp. 165–181.

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