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

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Chengming Zhang 0006' in GoogleThis author has not been identified. Look up 'Shaden Smith' in GoogleThis author has not been identified. Look up 'Baixi Sun' in GoogleThis author has not been identified. Look up 'Jiannan Tian' in GoogleThis author has not been identified. Look up 'Jonathan Soifer' in GoogleThis author has not been identified. Look up 'Xiaodong Yu' in GoogleThis author has not been identified. Look up 'Shuaiwen Leon Song' in GoogleThis author has not been identified. Look up 'Yuxiong He' in GoogleThis author has not been identified. Look up 'Dingwen Tao' in Google

runs on WebDSL