HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs

Chengming Zhang 0006, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao. HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. In Kyle A. Gallivan, Efstratios Gallopoulos, Dimitrios S. Nikolopoulos, Ramón Beivide, editors, Proceedings of the 37th International Conference on Supercomputing, ICS 2023, Orlando, FL, USA, June 21-23, 2023. pages 324-335, ACM, 2023. [doi]

Abstract

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