Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures

This paper presents a system for automatically supporting the optimization of stencil kernels on emerging Non-Uniform Memory Access (NUMA) many-core architectures, through a combined compiler + runtime approach. In particular, we use a pragma-driven compiler to recognize the special structures and o...

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Bibliographic Details
Published inLanguages and Compilers for Parallel Computing Vol. 10136; pp. 137 - 152
Main Authors Lin, Pei-Hung, Yi, Qing, Quinlan, Daniel, Liao, Chunhua, Yan, Yongqing
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Data Placement
Halo Region
NUMA Node
Runtime Library
Stencil Computation
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Summary:This paper presents a system for automatically supporting the optimization of stencil kernels on emerging Non-Uniform Memory Access (NUMA) many-core architectures, through a combined compiler + runtime approach. In particular, we use a pragma-driven compiler to recognize the special structures and optimization needs of stencil computations and thereby to automatically generate low-level code that efficiently utilize the data placement and management support of a C++ runtime on top of NUMA API, a programming interface to the NUMA policy supported by the Linux kernel. Our results show that through automated specialization of code generation, this approach provides a combined benefit of performance, portability, and productivity for developers.
ISBN:3319527088
9783319527086
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-52709-3_12