Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing-Reference-Cited by-同舟云学术

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Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 40th International Conference on Computer Design (ICCD)
language:
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Author:

Du Yajuan¹,Liu Mingyang²,Yang Yuqi²,Zhang Mingzhe³,Tang Xulong⁴

Affiliation:

1. Wuhan University of Technology,Shenzhen Research Institute,Shenzhen,China

2. Wuhan University of Technology,Wuhan,China

3. Institute of Information Engineering, CAS,State Key Laboratory of Information Security,Beijing,China

4. University of Pittsburgh,Pittsburgh,Pennsylvania,USA

Funder

Shenzhen Fundamental Research Program

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9978287/9978272/09978340.pdf?arnumber=9978340

Reference29 articles.

1. NVIDIA,2022

2. Nvidia turing gpu architecture,2019

3. Architectural support for address translation on GPUs

4. Enhancing Address Translations in Throughput Processors via Compression

5. Rodinia: A benchmark suite for heterogeneous computing

Cited by 1 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. GPU Performance Acceleration via Intra-Group Sharing TLB;Proceedings of the 52nd International Conference on Parallel Processing;2023-08-07

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