SHF: Small: SISA: A System-Level ISA for Power-Performance Management in CMPs

SHF：小型：SISA：用于 CMP 中电源性能管理的系统级 ISA

• 批准号: 0916971
• 负责人: Margaret Martonosi
• 金额: $ 45万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916971&HistoricalAwards=false
• 关键词: SHF; Small; SISA; System; Level

Over recent decades, power and complexity challenges have limited the ability to derive continued growth in computing performance through clock frequency scaling. Future growth will come through implementing systems with many independent processors on the same chip. Challenges lie, however, in writing software for these systems, and in creating software that is portable across several hardware generations. For parallel software to smoothly exploit a chip's computation and communication capabilities, hardware needs better information regarding software's structure and resource requirements. Analogous to the traditional, fine-grained instruction set architecture (ISA), this research proposes a higher-level, coarse-grained System-level ISA or SISA. SISA provides information on computational chunks and the data or synchronization dependencies between them. Expressing software as a coarse-grained directed graph, SISA enables efficient, adaptive scheduling of parallel computation and communication. It also offers other benefits for reliability, energy-efficiency and portability. The proposed research program will have broad impact in several ways. First, the PI has a solid track record of knowledge dissemination and technology transfer. This includes extensive collaborative relationships with industry, and several patents. In addition, the PI has a track record of releasing high-impact software tools for external use. The Wattch power modeling tool is one of five major tools distributions from her group, in use by thousands of computing researchers worldwide. The PI also has a strong track record of support for undergraduate research and underrepresented groups, and has also advised summers of undergraduate research with women and under-represented minorities through CRA-W and Princeton programs. She has been involved in teaching non-STEM students and multidisciplinary efforts, and will continue and broaden such activities through this research.

近几十年来，功耗和复杂性的挑战限制了通过时钟频率调整来实现计算性能持续增长的能力。未来的增长将通过在同一芯片上实现具有许多独立处理器的系统来实现。然而，挑战在于为这些系统编写软件，以及创建跨几代硬件可移植的软件。 为了让并行软件顺利地利用芯片的计算和通信能力，硬件需要更好地了解软件的结构和资源需求。与传统的细粒度指令集体系结构相类似，本研究提出了一种更高层次的粗粒度系统级伊萨集体系结构。 SISA提供了关于计算块以及它们之间的数据或同步依赖关系的信息。 将软件表示为粗粒度有向图，SISA实现了并行计算和通信的高效、自适应调度。 它还提供了可靠性、能效和便携性方面的其他优势。拟议的研究计划将在几个方面产生广泛的影响。 首先，PI在知识传播和技术转让方面有着坚实的记录。这包括与工业界的广泛合作关系和多项专利。 此外，主要研究者有发布高影响力软件工具供外部使用的记录。Wattch功率建模工具是她的小组的五个主要工具发行版之一，被全球数千名计算研究人员使用。PI在支持本科生研究和代表性不足的群体方面也有着良好的记录，并通过CRA-W和普林斯顿计划为女性和代表性不足的少数民族的本科生研究提供了建议。她一直参与教学非干学生和多学科的努力，并将通过这项研究继续和扩大这些活动。