Functional Partitioning for Reduced Power

نویسندگان

  • Enoch Hwang
  • Frank Vahid
  • Yu-Chin Hsu
چکیده

Power consumption in VLSI systems has become a critical metric for design evaluation. Although power reduction techniques can be applied at every level of design abstraction, most automated power reduction techniques apply to the lower levels of design abstraction, such as the register-transfer or gate level. We therefore investigated the power reduction attainable by the evolving automated behavioral-level technique of functional partitioning, in which a behavioral process is automatically divided into several smaller, mutually-exclusive, interacting processes. We demonstrate through several experiments that functional partitioning, which has already been shown to yield improvements in solving problems of I/O constraint satisfaction, synthesis complexity, and hardware/software partitioning, can also yield substantial reduction in power consumption (on average 41% total power reduction) with some overhead in size and performance. Functional Partitioning for Reduced Power Enoch Hwang Frank Vahid Yu-Chin Hsu Department of Computer Science University of California, Riverside, CA 92521 [email protected] [email protected] [email protected]

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تاریخ انتشار 1998