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

TL;DR

HIPE-MAGIC introduces a technology-aware synthesis and mapping flow that leverages memristor crossbar arrays to achieve highly parallel, energy-efficient logic execution, significantly outperforming traditional CPU-based approaches.

Contribution

It presents a novel synthesis and mapping framework optimized for memristor-based logic, enhancing parallelism, performance, and area efficiency in processing-in-memory architectures.

Findings

Superior throughput compared to CPU computing.

Enhanced energy efficiency in memristor-based logic.

Effective balancing techniques improve parallelism utilization.

Abstract

Recent efforts for finding novel computing paradigms that meet today's design requirements have given rise to a new trend of processing-in-memory relying on non-volatile memories. In this paper, we present HIPE-MAGIC, a technology-aware synthesis and mapping flow for highly parallel execution of the memristor-based logic. Our framework is built upon two fundamental contributions: balancing techniques during the logic synthesis, mainly targeting benefits of the parallelism offered by memristive crossbar arrays (MCAs), and an efficient technology mapping framework to maximize the performance and area-efficiency of the memristor-based logic. Our experimental evaluations across several benchmark suites demonstrate the superior performance of HIPE-MAGIC in terms of throughput and energy efficiency compared to recently developed synthesis and mapping flows targeting MCAs, as well as the conventional CPU computing.