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2020 – today
- 2024
[c3]Hongzheng Chen
, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang:
A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs. FPGA 2024: 185- [c2]Chenhui Deng, Zichao Yue, Zhiru Zhang:
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. ICLR 2024 - [c1]Dai Cheol Jung, Max Ruttenberg, Paul Gao, Scott Davidson, Daniel Petrisko, Kangli Li, Aditya K. Kamath, Lin Cheng, Shaolin Xie, Peitian Pan, Zhongyuan Zhao, Zichao Yue, Bandhav Veluri, Sripathi Muralitharan, Adrian Sampson, Andrew Lumsdaine, Zhiru Zhang, Christopher Batten, Mark Oskin, Dustin Richmond, Michael Bedford Taylor:
Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore. ISCA 2024: 770-784 - [i4]Chenhui Deng, Zichao Yue, Zhiru Zhang:
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. CoRR abs/2403.01232 (2024) - [i3]Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang:
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. CoRR abs/2403.01317 (2024) - 2023
- [i2]Ruirong Huang, Zichao Yue, Caroline Huang, Janarbek Matai, Zhiru Zhang:
Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures. CoRR abs/2308.06227 (2023) - [i1]Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang:
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference. CoRR abs/2312.15159 (2023)
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