计算机科学
并行计算
架空(工程)
高效能源利用
算术
冯·诺依曼建筑
计算机硬件
嵌入式系统
数学
操作系统
工程类
电气工程
作者
Wente Yi,Kefan Mo,W. Wang,Yi-Tong Zhou,Yejun Zeng,Zihan Yuan,Bojun Cheng,Biao Pan
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2024-01-17
卷期号:71 (4): 1719-1732
被引量:12
标识
DOI:10.1109/tcsi.2024.3350664
摘要
Digital computing-in-memory (DCIM) that merges computing logic into memory has been proven to be an efficient architecture for accelerating multiply-and-accumulates (MACs). However, low energy efficiency and high area overhead pose a primary restriction for integrating DCIM in re-configurable processors required for multi-functional workloads. To alleviate this dilemma, a novel RISC-V supported full-digital computing-in-memory processor (RDCIM) is designed and fabricated with 55nm CMOS technology. In RDCIM, an adding-on-memory-boundary (AOMB) scheme is adopted to improve the energy efficiency of DCIM. Meanwhile, a multi-precision adaptive accumulator (MPAA) and a serial-parallel conversion supported SRAM buffer (SPBUF) are employed to reduce the area overhead caused by the peripheral circuits and the intermediate buffer for multi-precision support. The results show that the energy efficiency in our design is 16.6 TOPS/W (8-bit) and 66.3 TOPS/W (4-bit). Compared to related works, the proposed RDCIM macro shows a maximum energy efficiency improvement of 1.22x in a continuous computing scenario, an area saving of 1.22x in the accumulator, and an area saving of 3.12x in the input buffer. Moreover, in RDCIM, 5 fine-grained RISC-V extended instructions are designed to dynamically adjust the state of DCIM, reaching 1.2x computation efficiency.
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