Understanding Training Efficiency of Deep Learning Recommendation Models at Scale-Reference-Cited by-同舟云学术

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Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

Published:2021-02 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
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Author:

Acun Bilge,Murphy Matthew,Wang Xiaodong,Nie Jade,Wu Carole-Jean,Hazelwood Kim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9406784/9407034/09407135.pdf?arnumber=9407135

Cited by 51 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

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2. ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

3. Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

4. PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

5. Optimizing feature selection in intrusion detection systems: Pareto dominance set approaches with mutual information and linear correlation;Ad Hoc Networks;2024-06

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