Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model-Reference-Cited by-同舟云学术

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Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model

Published:2022-09-19 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE High Performance Extreme Computing Conference (HPEC)
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Author:

Xu Shaoxian¹,Wu Minkang¹,Zheng Long¹,Shao Zhiyuan¹,Ye Xiangyu¹,Liao Xiaofei¹,Jin Hai¹

Affiliation:

1. National Engineering Research Center for Big Data Technology and System/Services Computing Technology, School of Computer Science and Technology, Huazhong University of Science and Technology,System Lab/Cluster and Grid Computing Lab,Wuhan,China,430074

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926284/9926287/09926290.pdf?arnumber=9926290

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GLARE: Accelerating Sparse DNN Inference Kernels with Global Memory Access Reduction;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

2. Adaptive Sparse Deep Neural Network Inference on Resource-Constrained Cost-Efficient GPUs;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

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