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.

在最近的几十年中，功率和复杂性挑战限制了通过时钟频率缩放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与许多独立处理器实施系统来实现。但是，挑战在为这些系统编写软件以及创建可在多个硬件一代便携式的软件中编写软件。 为了使并行软件平稳利用芯片的计算和通信功能，硬件需要有关软件结构和资源要求的更好信息。该研究类似于传统的，细粒度的教学套件体系结构（ISA），提出了更高级别的粗粒系统级别的ISA或SISA。 SISA提供了有关计算块及其之间数据或同步依赖性的信息。 SISA将软件表示为粗粒的有向图，可以对并行计算和通信进行有效的自适应调度。 它还为可靠性，能源效率和便携性提供了其他好处。拟议的研究计划将以多种方式产生广泛的影响。 首先，PI具有知识传播和技术转移的可靠记录。这包括与行业的广泛合作关系以及几项专利。 此外，PI还具有释放高影响力的软件工具供外部使用的记录。 Wattch功率建模工具是她小组的五个主要工具分布之一，全球数千名计算研究人员使用。 PI还具有对本科研究和代表性不足的群体的支持记录，并通过CRA-W和Princeton计划向Summers提供了与妇女和代表性不足的少数群体有关的本科研究。她一直参与教授非茎学生和多学科工作的教学，并将通过这项研究继续并扩大此类活动。