EQUIPE: Parallel Equivalence Checking with GPU’s

Combinational equivalence checking (CEC) is a mainstream application in Electronic Design Automation used to determine the equivalence between two combinational netlists. Tools performing CEC are widely deployed in the design flow to determine the correctness of synthesis transformations and optimizations. One of the main limitations of these tools is their scalability, as industrial scale designs demand time-consuming computation. In this work we propose EQUIPE, a novel combinational equivalence checking solution, which leverages the massive parallelism of modern general purpose graphic processing units. EQUIPE reduces the need for hard-to-parallelize engines, such as BDDs and SAT, by taking advantage of components well-suited to concurrent implementation. We found experimentally that EQUIPE outperforms commercial CEC tools by an order of magnitude on average, on a wide range of industry-strength designs.