Accelerating Personalized Recommendation with Cross-level Near-Memory Processing-Reference-Cited by-同舟云学术

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 50th Annual International Symposium on Computer Architecture
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Author:

Liu Haifeng¹²^ORCID,Zheng Long¹²^ORCID,Huang Yu¹²^ORCID,Liu Chaoqiang¹²^ORCID,Ye Xiangyu¹²^ORCID,Yuan Jingrui¹²^ORCID,Liao Xiaofei¹^ORCID,Jin Hai¹^ORCID,Xue Jingling³^ORCID

Affiliation:

1. Huazhong University of Science and Technology, Wuhan, China

2. Zhejiang Lab, Hangzhou, China

3. University of New South Wales, Sydney, Australia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhejiang Lab

Publisher

ACM

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5. Bahar Asgari , Ramyad Hadidi , Jiashen Cao , Da Eun Shim , Sung Kyu Lim , and Hyesoon Kim . 2021 . FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction . In Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, HPCA 2021. IEEE, 908--920. Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim, and Hyesoon Kim. 2021. FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction. In Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, HPCA 2021. IEEE, 908--920.

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