Ieee Transactions on Very Large Scale Integrattion
نویسندگان
چکیده
| We present a dynamic programming technique for solving the multiple supply voltage scheduling problem in both non-pipelined and functionally pipelined data-paths. The scheduling problem refers to the assignment of a supply voltage level (selected from a xed and known number of voltage levels) to each operation in a data ow graph so as to minimize the average energy consumption for given computation time or throughput constraints or both. The energy model is accurate and accounts for the input pattern dependencies, re-convergent fanout induced dependencies, and the energy cost of level shifters. Experimental results show that using three supply voltage levels on a number of standard benchmarks, an average energy saving of 40.19% (with a computation time constraint of 1.5 times the critical path delay) can be obtained compared to using a single supply voltage level.
منابع مشابه
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATTION VLSI SYSTEMS VOL NO DECEMBER Energy Minimization Using Multiple Supply Voltages
We present a dynamic programming technique for solving the multiple supply voltage scheduling problem in both non pipelined and functionally pipelined data paths The scheduling problem refers to the assignment of a sup ply voltage level selected from a xed and known number of voltage levels to each operation in a data ow graph so as to minimize the average energy consumption for given computati...
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Dimitris Gizopoulos is a professor in the Department of Informatics & Telecommunications, the National and Kapodistrian University of Athens where he leads the Computer Architecture Laboratory. His research focuses on the dependability, performance, and power efficiency of computing systems architectures built around high-performance and embedded multicore CPUs as well as GPUs. He has published...
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