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Other Publications Year : 2013

Auto-tuning 2D Stencil Applications on Multi-core Parallel Machines

Abstract

On multi-core clusters or supercomputers, how to get good performance when running high performance computing (HPC) applications is a main concern. In this report, performance oriented auto-tuning strategies and experimental results are presented for stencil HPC applications on multi-core parallel machines. A typical 2D Jacobi benchmark is chosen as the experimental stencil application. The main tuning strategies include data partitioning within a multi-core node, number of threads within a multi-core node, data partitioning for a number of nodes, number of nodes in a multi-core cluster system. The results of the experiments are based on multi-core parallel machines from PRACE or Grid'5000, such as Curie, and Stremi cluster.
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Dates and versions

hal-00862270 , version 1 (16-09-2013)

Identifiers

  • HAL Id : hal-00862270 , version 1

Cite

Zhengxiong Hou, Christian Pérez. Auto-tuning 2D Stencil Applications on Multi-core Parallel Machines. 2013. ⟨hal-00862270⟩
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