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Analyzing cache performance bottlenecks of STM applications and addressing them with compiler's help

Published: 11 September 2010 Publication History
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  • Abstract

    Software transactional memory (STM) is a promising programming paradigm for shared memory multithreaded programs as an alternative to traditional lock based synchronization. However adoption of STM in mainstream software has been quite low due to its considerable overheads and its poor cache/memory performance. In this paper, we perform a detailed study of the cache behavior of STM applications and quantify the impact of different STM factors on the cache misses experienced by the applications. Based on our analysis, we propose a compiler driven Lock-Data Colocation (LDC), targeted at reducing the cache overheads on STM. We show that LDC is effective in improving the cache behavior of STM applications by reducing the dcache miss latency and improving execution time performance.

    References

    [1]
    }}C. C. Minh, J. Chung, C. Kozyrakis, and K. Olukotun. STAMP: Stanford transactional applications for multi-processing. In IISWC '08, pages 35--46, Sep 2008.
    [2]
    }}Larus J., Rajwar R. Transactional Memory. Morgan and Claypool Publishers.
    [3]
    }}D. Dice, O. Shalev N. Shavit. Transactional locking II. DISC 2004

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    Published In

    cover image ACM Conferences
    PACT '10: Proceedings of the 19th international conference on Parallel architectures and compilation techniques
    September 2010
    596 pages
    ISBN:9781450301787
    DOI:10.1145/1854273

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 September 2010

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    Author Tags

    1. cache
    2. compiler
    3. software transactional memory

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    • IEEE CS TCPP
    • SIGARCH
    • IEEE CS TCAA

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    Overall Acceptance Rate 121 of 471 submissions, 26%

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