Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Chunshu Wu"'
Autor:
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin Herbordt
Publikováno v:
2022 32nd International Conference on Field-Programmable Logic and Applications (FPL).
Autor:
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin Herbordt
Publikováno v:
2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).
Autor:
Yanfei Li, Chunshu Wu, Martin C. Herbordt, Ang Li, Runbin Shi, Tong Geng, Tianqi Wang, Wei Wu
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:199-213
Binarized Neural Networks (BNN), which significantly reduce computational complexity and memory demand, have shown potential in cost- and power-restricted domains, such as IoT and smart edge-devices, where reaching certain accuracy bars is sufficient
Autor:
Chunshu Wu, Yingyan Lin, Martin C. Herbordt, Ang Li, Tong Geng, Yongan Zhang, Cheng Tan, Haoran You, Chenhao Xie
Publikováno v:
MICRO
Graph Convolutional Networks (GCNs) have drawn tremendous attention in the past three years. Compared with other deep learning modalities, high-performance hardware acceleration of GCNs is as critical but even more challenging. The hurdles arise from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cdaca8542031e3ed50e8377330a58a7
Publikováno v:
2021 IEEE High Performance Extreme Computing Conference (HPEC).
Autor:
Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin Herbordt, Ang Li
Publikováno v:
2021 IEEE High Performance Extreme Computing Conference (HPEC).
Autor:
Woody Sherman, Tong Geng, Chunshu Wu, Sahan Bandara, Chen Yang, Martin C. Herbordt, Vipin Sachdeva
Publikováno v:
FCCM
With the current pandemic, the central role that Molecular Dynamics simulation (MD) plays in drug discovery makes advances in MD performance urgent. Recent work has demonstrated that among COTS devices only FPGA-centric clusters can scale beyond a fe
Publikováno v:
HPEC
Molecular Dynamics simulation (MD) has been thought a promising FPGA application for many years, especially with clusters of tightly coupled FPGAs where the large-scale, general-purpose, low-latency interconnects provide a communication capability no
Publikováno v:
HPEC
Quantized Neural Networks (QNNs) have drawn tremendous attention since - when compared with Convolution Neural Networks (CNNs) - they often dramatically reduce computation, communication, and storage demands with negligible loss in accuracy. To find
Autor:
Rushi Patel, Martin C. Herbordt, Chen Yang, Jiayi Sheng, Tong Geng, Qingqing Xiong, Vipin Sachdeva, Charles Y. Lin, Ahmed Sanaullah, Woody Sherman, Tianqi Wang, Chunshu Wu
Publikováno v:
SC
The implementation of Molecular Dynamics (MD) on FPGAs has received substantial attention. Previous work, however, has consisted of either proof-of-concept implementations of components, usually the range-limited force; full systems, but with much of