高生产率计算系统

High Productivity Computing Systems

(National Research Center for Intelligent Computing Systems, Institute of Comput ing Technology, Chinese Academy of Sciences, Beijing 100080)

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.
- 高生产率计算系统 /
- 体系结构 /
- 编程模型 /
- 可移植性 /
- 稳定可靠性
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.
- HPCS /
- architecture /
- programming model, portability, robustness