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Recent efforts for finding novel computing paradigms that meet today's designrequirements have given rise to a new trend of processing-in-memory relying onnon-volatile memories. In this paper, we present HIPE-MAGIC, a technology-awaresynthesis and mapping flow for highly parallel execution of the memristor-basedlogic. Our framework is built upon two fundamental contributions: balancingtechniques during the logic synthesis, mainly targeting benefits of theparallelism offered by memristive crossbar arrays (MCAs), and an efficienttechnology mapping framework to maximize the performance and area-efficiency ofthe memristor-based logic. Our experimental evaluations across severalbenchmark suites demonstrate the superior performance of HIPE-MAGIC in terms ofthroughput and energy efficiency compared to recently developed synthesis andmapping flows targeting MCAs, as well as the conventional CPU computing.

HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC