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

C. Zhang, S. Smith, B. Sun, J. Tian, J. Soifer, X. Yu, S. Song, Y. He, and D. Tao. ICS, page 324-335. ACM, (2023)

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Ning He

Hongxia He

Chunmao He

Xiaowen He

Hucang He

Other publications of authors with the same name

Prediction and Predictability for Search Query Acceleration.S. won Hwang, S. Kim, Y. He, S. Elnikety, and S. Choi. TWEB, 10 (3): 19:1-19:28 (2016)Workload analysis and caching strategies for search advertising systems.C. Li, D. Andersen, Q. Fu, S. Elnikety, and Y. He. SoCC, page 170-180. ACM, (2017)G-SPARQL: a hybrid engine for querying large attributed graphs.S. Sakr, S. Elnikety, and Y. He. CIKM, page 335-344. ACM, (2012)Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.M. Zhang, S. Rajbhandari, W. Wang, E. Zheng, O. Ruwase, J. Rasley, J. Li, J. Wang, and Y. He. OpML, page 5-7. USENIX Association, (2019)BATS: budget-constrained autoscaling for cloud performance optimization.A. Mahmud, Y. He, and S. Ren. SIGMETRICS, page 563-564. ACM, (2014)Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination.C. Li, M. Zhang, D. Andersen, and Y. He. SIGMOD Conference, page 2539-2554. ACM, (2020)Position Paper: Embracing Heterogeneity - Improving Energy Efficiency for Interactive Services on Heterogeneous Data Center Hardware.Y. He, and S. Elnikety. AI for Data Center Management and Cloud Computing, volume WS-11-08 of AAAI Technical Report, AAAI, (2011)DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing.C. Li, Z. Yao, X. Wu, M. Zhang, C. Holmes, C. Li, and Y. He. AAAI, page 18490-18498. AAAI Press, (2024)ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers.Z. Yao, R. Aminabadi, M. Zhang, X. Wu, C. Li, and Y. He. NeurIPS, (2022)Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping.M. Zhang, and Y. He. NeurIPS, (2020)

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Disambiguation of "He, Yuxiong"

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

Please choose a person to relate this publication to

Ning He

Hongxia He

Chunmao He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Yuxiong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.

Please choose a person to relate this publication to

Ning He

Hongxia He

Chunmao He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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