基于8位20.7 TOPS/W多级Cell reram的计算引擎

Justin M. Correll, Lu Jie, Seungheun Song, Seungjong Lee, Junkang Zhu, Wei Tang, Luke Wormald, Jack Erhardt, N. Breil, R. Quon, D. Kamalanathan, Siddarth A. Krishnan, M. Chudzik, Zhengya Zhang, W. Lu, M. Flynn
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引用次数: 12

摘要

基于多级单元(MLC) ReRAM的内存模拟计算为机器学习和科学计算提供了高密度和高效的计算支持。我们提出了一个SoC原型,由四个独立的基于reram的CIM块和一个RISC-V主机组成。测量的原始和标准化峰值效率分别为20.7和662 TOPS/W。计算密度为8.4 TOPS/mm2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An 8-bit 20.7 TOPS/W Multi-Level Cell ReRAM-based Compute Engine
Analog compute in memory with Multi-Level Cell (MLC) ReRAM promises highly dense and efficient compute support for machine learning and scientific computing. We present an SoC prototype comprised of four self-contained ReRAM-based CIM tiles and a RISC-V host. The measured raw and normalized peak efficiencies are 20.7 and 662 TOPS/W, respectively. The compute density is 8.4 TOPS/mm2.
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