Improving the Performance of Scalable Shared-Memory Multiprocessors

提高可扩展共享内存多处理器的性能

• 批准号: 9307910
• 负责人: Pen-Chung Yew
• 金额: $ 19.74万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-01 至 1996-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9307910&HistoricalAwards=false
• 关键词: Improving; Performance; Scalable; Shared; Memory

Yew Sophisticated performance measurement and simulation tools developed on the Cedar multiprocessor system during the last four years are being used to study several key architectural and compiler issues that can enhance the performance of scalable shared memory multiprocessors. These issues include memory latency reduction and hiding strategies, data synchronization requirements for loop-level parallelism, and hierarchical network design. The study of these issues involves the hardware-assisted collection of empirical data on Cedar and the use of simulation. The information thus obtained could lead to the design of next- generation systems that, compared to present-day systems, provide higher sustained performance across a broader range of applications.

红豆杉 在过去的四年中，雪松多处理器系统上开发的先进的性能测量和仿真工具正在被用来研究几个关键的体系结构和编译器的问题，可以提高可扩展的共享内存多处理器的性能。这些问题包括内存延迟减少和隐藏策略，数据同步要求循环级并行，分层网络设计。 这些问题的研究涉及到硬件辅助收集雪松的经验数据和使用模拟。 由此获得的信息可以导致下一代系统的设计，与当今的系统相比，在更广泛的应用范围内提供更高的持续性能。