Deep learning acceleration: from quantization to in-memory computing

by Zhu, Shien
Published 2022

iMAD: an in-memory accelerator for AdderNet with efficient 8-bit addition and subtraction operations

by Zhu, Shien, Li, Shiqing, Liu, Weichen
Published 2022

XOR-Net : an efficient computation pipeline for binary neural network inference on edge devices

by Zhu, Shien, Duong, Luan H. K., Liu, Weichen
Published 2020

TAB : unified and optimized ternary, binary and mixed-precision neural network inference on the edge

by Zhu, Shien, Duong, Luan H. K., Liu, Weichen
Published 2022

iMAT: energy-efficient in-memory acceleration for ternary neural networks with sparse dot product

by Zhu, Shien, Huai, Shuo, Xiong, Guochu, Liu, Weichen
Published 2023

Parallel multipath transmission for burst traffic optimization in point-to-point NoCs

by Chen, Hui, Zhang, Zihao, Chen, Peng, Zhu, Shien, Liu, Weichen
Published 2021

An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning

by Li, Shiqing, Zhu, Shien, Luo, Xiangzhong, Luo, Tao, Liu, Weichen
Published 2023

FAT: an in-memory accelerator with fast addition for ternary weight neural networks

by Zhu, Shien, Duong, Luan H. K., Chen, Hui, Liu, Di, Liu, Weichen
Published 2022

EDLAB : a benchmark for edge deep learning accelerators

by Kong, Hao, Huai, Shuo, Liu, Di, Zhang, Lei, Chen, Hui, Zhu, Shien, Li, Shiqing, Liu, Weichen, Rastogi, Manu, Subramaniam, Ravi, Athreya, Madhu, Lewis, M. Anthony
Published 2022