Function Call Optimization for Efficient Behavioral Synthesis
Y. HARA, Hiroyuki Tomiyama, S. HONDA, H. TAKADA · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 2007
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.