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- W2125157415 abstract "Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics are treated probabilistically. Power reduction is performed by simultaneous sizing and dual threshold voltage assignment. An extremely fast run-time is achieved by casting the problem as a second-order conic problem and solving it using efficient interior-point optimization methods. When compared to the deterministic optimization, the new algorithm, on average, reduces static power by 31% and total power by 17% without the loss of parametric yield. The run time on a variety of public and industrial benchmarks is 30X faster than other known statistical power minimization algorithms." @default.
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- W2125157415 date "2005-01-01" @default.
- W2125157415 modified "2023-10-16" @default.
- W2125157415 title "An efficient algorithm for statistical minimization of total power under timing yield constraints" @default.
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- W2125157415 doi "https://doi.org/10.1145/1065579.1065661" @default.
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