CSR--EHS: Collaborative Research: Hybrid Timing Analysis via Multi-Mode Execution
CSR--EHS: Collaborative Research: Hybrid Timing Analysis via Multi-Mode Execution
批准号:
0720659
负责人:
Yuan Xie
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-08-01 至 2010-07-31
中文摘要
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英文摘要
Current software design for safety-critical embedded systems requires stringent compliance with coding standards to ensure safety and reliability. A key additional requirement for real-time embedded systems is predictable timing behavior of software components, which requires that bounds on the worst-case execution time (WCET) of embedded software be determined. While static timing analysis yields verifiable bounds on the WCET, it cannot keep pace with architectural innovations and hardware performance variation due to chip fabrication scaling. This work contributes a fundamentally new approach to bounding the WCET with three major contributions: (1) Instead of simulating execution, actual execution in hardware is promoted to assess the WCET of a task. This approach not only renders tedious hardware modeling unnecessary but also confirms correct behavior regardless of architectural complexity or hardware variation. (2) The approach and its complexity are evaluated by FPGA synthesis. This assesses the feasibility of the design and validates a prototype implementation. (3) The impact of advanced architectural features is studied in a co-design space exploration, aimed to provide predictability and tight WCET bounds. The research conducted in this project advances existing science and technology through novel techniques in hardware and software design for safety-critical embedded real-time systems by providing high-confidence bounds on execution times; enhancing hardware architectures with support to assess execution times; and customizing hardware features via co-design to improve predictability. These capabilities directly benefit safety and reliability of software controlling, for example, aircraft and components of cars, thereby aiding the high-confidence design of embedded systems.
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