论文标题
Hipe-Magic：一种技术意识的合成和映射流，用于高度平行的Memristor ADED逻辑
HIPE-MAGIC: A Technology-Aware Synthesis and Mapping Flow for HIghly Parallel Execution of Memristor-Aided LoGIC
论文作者
论文摘要
寻找满足当今设计要求的新型计算范式的最新努力，导致了依靠非易失性记忆的记忆中的新趋势。在本文中，我们提出了Hipe-Magic，这是一种技术感知的合成和映射流，用于高度平行基于Memristor的逻辑。我们的框架建立在两个基本贡献的基础上：逻辑综合过程中的平衡技术，主要针对MEMRISTIVE横栏阵列（MCAS）提供的并行性的好处，以及有效的技术映射框架，以最大程度地提高基于Memristor逻辑的性能和区域效率。我们在几个基准套件上进行的实验评估表明，与最近开发的靶向MCAS的合成和映射流以及常规CPU计算相比，吞吐量和能源效率的卓越性能相比。
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.
