A hybrid strategy based on data distribution and migration for optimizing memory locality

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Kadayif I., KANDEMIR M., CHOUDHARY A.

LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING, vol.2481, pp.111-125, 2005 (SCI-Expanded)

• Publication Type: Article / Article
• Volume: 2481
• Publication Date: 2005
• Doi Number: 10.1007/11596110_8
• Journal Name: LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.111-125
• Çanakkale Onsekiz Mart University Affiliated: Yes

Abstract

The performance of a NUMA architecture depends on the efficient use of local memory. Therefore, software-level techniques that improve memory locality (in addition to parallelism) are extremely important to extract the best performance from these architectures. The proposed solutions so far include OS-based automatic data migrations and compiler-based static/dynamic data distributions.