A library-based performance tool for multicore pervasive servers

Sayaka Akioka, Yuki Ohno, Midori Sugaya, Tatsuo Nakajima

    研究成果: Article査読

    抄録

    This paper proposes SPLiT (Scalable Performance Library Tool) as the methodology to improve performance of applications on multicore processors through CPU and cache optimizations on the fly. SPLiT is designed to relieve the difficulty of the performance optimization of parallel applications on multicore processors. Therefore, all programmers have to do to benefit from SPLiT is to add a few library calls to let SPLiT know which part of the application should be analyzed. This simple but compelling optimization library contributes to enrich pervasive servers on a multicore processor, which is a strong candidate for an architecture of information appliances in the near future. SPLiT analyzes and predicts application behaviors based on CPU cycle counts and cache misses. According to the analysis and predictions, SPLiT tries to allocate processes and threads sharing data onto the same physical cores in order to enhance cache efficiency. SPLiT also tries to separate cache effective codes from the codes with more cache misses for the purpose of the avoidance of cache pollutions, which result in performance degradation. Empirical experiments assuming web applications validated the efficiency of SPLiT and the performance of the web application is improved by 26%.

    本文言語English
    ページ(範囲)421-429
    ページ数9
    ジャーナルJournal of Information Processing
    19
    DOI
    出版ステータスPublished - 2011

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)

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