3 citations · 6 across the 4 of their papers we have counts for
4 papers
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin +2
Large Language Models (LLMs) have achieved remarkable breakthroughs. However, the huge number of parameters in LLMs require significant amount of memory storage in inference, which…
An Efficient General-Purpose Optical Accelerator for Neural Networks
Sijie Fei, Amro Eldebiky, Grace Li Zhang +2
General-purpose optical accelerators (GOAs) have emerged as a promising platform to accelerate deep neural networks (DNNs) due to their low latency and energy consumption. Such an…
AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design
Ruidi Qiu, Grace Li Zhang, Rolf Drechsler +2
In digital circuit design, testbenches constitute the cornerstone of simulation-based hardware verification. Traditional methodologies for testbench generation during simulation-ba…
Logic Design of Neural Networks for High-Throughput and Low-Power Applications
Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann +1
Neural networks (NNs) have been successfully deployed in various fields. In NNs, a large number of multiplyaccumulate (MAC) operations need to be performed. Most existing digital h…