Function Call Optimization for Efficient Behavioral Synthesis

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Abstract

Behavioral synthesis, which automatically synthesizes an RTL circuit from a sequential program, is one of promising technologies to improve the design productivity. This paper proposes a function call optimization method in behavioral synthesis from large sequential programs with a number of functions. We formulate the optimization problem using integer linear programming. Our experimental results show the reduction in the circuit area by up to 44.6%, compared with a traditional method.

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