A game theoretic approach for power optimization during behavioral synthesis.

A game theoretic approach for power optimization during behavioral synthesis.

In this paper, we describe a new methodology based on game theory for minimizing the average power of a circuit during scheduling and binding in behavioral synthesis. The problems are formulated as auction-based noncooperative finite games for which solutions are proposed based on the Nash equilibri...

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书目详细资料
发表在:IEEE Transactions on VLSI systems 11, 6 (2003).
主要作者: Murugavel, A.K
格式: 文件
语言:English
主题:
LP.
Nash equilibrium.
Average power optimisation.
Behavioral synthesis.
Benchmark circuits.
Binding algorithms.
Combined scheduling.
Control cycle.
Finite games.
First-price sealed-bid auction.
Game theory.
Integer-linear programming.
Player bidding.
Power consumption.
Scheduling.
Single noncooperative auction game.
Yield power reduction.