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    孟 丹 张志宏 陈明宇. 高生产率计算系统[J]. 计算机研究与发展, 2005, 42(4): 563-569.
    引用本文: 孟 丹 张志宏 陈明宇. 高生产率计算系统[J]. 计算机研究与发展, 2005, 42(4): 563-569.
    Meng Dan, Zhang Zhihong, and Chen Mingyu. High Productivity Computing Systems[J]. Journal of Computer Research and Development, 2005, 42(4): 563-569.
    Citation: Meng Dan, Zhang Zhihong, and Chen Mingyu. High Productivity Computing Systems[J]. Journal of Computer Research and Development, 2005, 42(4): 563-569.

    高生产率计算系统

    High Productivity Computing Systems

    • 摘要: 以往的高端计算领域将峰值运算速度作为衡量计算系统的最重要的指标.然而体系结构的失 衡和落后的编程支持成为困扰高性能计算技术发展的关键问题.未来高端计算的发展方向应 该着眼于提高系统的生产率,强调系统的易用性和好用性.介绍了HPCS的背景、目标、主要 技术挑战以及主要的解决方案和关键技术.

       

      Abstract: The HPC world has been obsessively focused on simple performance metrics, such a s peak floating point performance, or performance on the Linpack benchmark. Howe ver, two critical problems, the unbalanced architecture and the deficient progra mming support, have never obtained a good solution. The recent DARPA High-Produc tivity Computing Systems (HPCS) initiative has raised the issue of proper produc tivity measurements, in the context of high-performance computing. The backgroun d, objective, challenge, and main efforts toward the research of HPCS are presen ted here.

       

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