System-level Design of Streaming Applications on Domain Specific Multi-core Processors

特定领域多核处理器上的流应用程序的系统级设计

• 批准号: 0903513
• 负责人: Karamvir Chatha
• 金额: $ 23.3万
• 依托单位: Arizona State 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: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0903513&HistoricalAwards=false
• 关键词: System; level; Design; Streaming; Applications

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."Domain specific multi-core processors (DSMPs) are aimed at high performance embedded system applications (image/signal processing, networking, graphics, medical instrumentation, and so on). DSMPs incorporate several architectural innovations including symmetric multi-processing, block multi-threading, hardware accelerators, scratch-pad memories and support for inter-processor communication. However, there is a lack of application development tools which requires the designer to manually divide the functionality among threads and processors, and determine the data mapping on the memory elements. This low level approach to programming leads to increased design time in the best case, and poor quality designs in the worst case. Further, with increasing power densities in each successive generation of processors, it is expected that eventually performance optimization on DSMPs would have to consider power and thermal constraints. The proposal aims to address two research issues. First is the development of system-level design techniques for programming on DSMPs. The techniques will take a streaming application description and target processor features as inputs, and automatically generate a mapping of the application on the DSMP with an objective of maximizing the performance. The second task focuses on development of power and thermal-aware design techniques for DSMPs. The power and thermal-aware design techniques will perform automated system-level application mapping on DSMP architectures under respective peak power and temperature constraints. As DSMP architectures are aimed at embedded system applications, the research will have an impact on many interfaces of human-computer interaction. Education activities will include training of graduate students, dissemination of research outcomes, and incorporation of the results in undergraduate/graduate coursework.

“这项奖励是根据2009年美国复苏和再投资法案（公法111-5）资助的。”特定领域的多核处理器（dsmp）针对高性能嵌入式系统应用（图像/信号处理、网络、图形、医疗仪器等）。dsmp集成了几个架构创新，包括对称多处理、块多线程、硬件加速器、刮擦存储器和支持处理器间通信。然而，缺乏应用程序开发工具，要求设计人员手动在线程和处理器之间划分功能，并确定内存元素上的数据映射。这种低级的编程方法在最好的情况下会增加设计时间，在最坏的情况下会导致设计质量差。此外，随着每一代处理器的功率密度不断增加，预计dsmp的最终性能优化将不得不考虑功率和热约束。该提案旨在解决两个研究问题。首先是开发用于dsmp编程的系统级设计技术。该技术将以流应用程序描述和目标处理器特性作为输入，并以性能最大化为目标自动生成应用程序在DSMP上的映射。第二项任务侧重于DSMPs功率和热感知设计技术的发展。功率和热感知设计技术将在各自的峰值功率和温度约束下在DSMP架构上执行自动化的系统级应用映射。由于DSMP体系结构面向嵌入式系统应用，因此该研究将对人机交互的许多接口产生影响。教育活动将包括培训研究生、传播研究成果以及将研究成果纳入本科/研究生课程。