19 citations · 23 across the 3 of their papers we have counts for
3 papers
A PVT-Resilient Subthreshold SRAM-Based In-Memory Computing Accelerator with In-Situ Regulation for Energy-Efficient Spiking Neural Networks
Shih-Hang Kao, Yang-Chan Hung, I-Wen Wang +7
This paper presents a PVT-resilient, subthreshold SRAM-based computing-in-memory (CIM) macro tailored for energy-efficient spiking neural networks (SNNs). The macro integrates in-s…
A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
Yu-Hsiang Chiang, Tian-Sheuan Chang, Shyh Jye Jou
Keyword spotting has gained popularity as a natural way to interact with consumer devices in recent years. However, because of its always-on nature and the variety of speech, it ne…
Hardware-Robust In-RRAM-Computing for Object Detection
Yu-Hsiang Chiang, Cheng En Ni, Yun Sung +3
In-memory computing is becoming a popular architecture for deep-learning hardware accelerators recently due to its highly parallel computing, low power, and low area cost. However,…