21 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.AR2024★ 21 cited
A Review of SRAM-based Compute-in-Memory Circuits
Kentaro Yoshioka, Shimpei Ando, Satomi Miyagi +2
This paper presents a tutorial and review of SRAM-based Compute-in-Memory (CIM) circuits, with a focus on both Digital CIM (DCIM) and Analog CIM (ACIM) implementations. We explore…
cs.AR2023
OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration
Yung-Chin Chen, Shimpei Ando, Daichi Fujiki +2
Computing-in-Memory (CIM) has shown great potential for enhancing efficiency and performance for deep neural networks (DNNs). However, the lack of flexibility in CIM leads to an un…
cs.AR2023
An 818-TOPS/W CSNR-31dB SQNR-45dB 10-bit Capacitor-Reconfiguring Computing-in-Memory Macro with Software-Analog Co-Design for Transformers
Kentaro Yoshioka
Transformer inference requires high compute accuracy; achieving this using analog CIMs has been difficult due to inherent computational errors. To overcome this challenge, we propo…