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Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.

A. Gittens, A. Devarakonda, E. Racah, M. Ringenburg, L. Gerhardt, J. Kottalam, J. Liu, K. Maschhoff, S. Canon, J. Chhugani, P. Sharma, J. Yang, J. Demmel, J. Harrell, V. Krishnamurthy, M. Mahoney, and Prabhat. CoRR, (2016)

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Jiyan Shi

Yang Yang

Other publications of authors with the same name

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels.J. Yang, V. Sindhwani, H. Avron, and M. Mahoney. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 485-493. JMLR.org, (2014)CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery.K. Maeng, S. Bharuka, I. Gao, M. Jeffrey, V. Saraph, B. Su, C. Trippel, J. Yang, M. Rabbat, B. Lucia and 1 other author(s). CoRR, (2020)Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems.H. Shi, D. Mudigere, M. Naumov, and J. Yang. KDD, page 165-175. ACM, (2020)Modeling and online control of generalized energy storage networks.J. Qin, Y. Chow, J. Yang, and R. Rajagopal. e-Energy, page 27-38. ACM, (2014)Sub-sampled Newton Methods with Non-uniform Sampling.P. Xu, J. Yang, F. Roosta-Khorasani, C. Ré, and M. Mahoney. NIPS, page 3000-3008. (2016)Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.W. Wen, K. Liu, I. Fedorov, X. Zhang, H. Yin, W. Chu, K. Hassani, M. Sun, J. Liu, X. Wang and 12 other author(s). WWW (Companion Volume), page 73-82. ACM, (2024)Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels.H. Avron, V. Sindhwani, J. Yang, and M. Mahoney. J. Mach. Learn. Res., (2016)Software-hardware co-design for fast and scalable training of deep learning recommendation models.D. Mudigere, Y. Hao, J. Huang, Z. Jia, A. Tulloch, S. Sridharan, X. Liu, M. Ozdal, J. Nie, J. Park and 43 other author(s). ISCA, page 993-1011. ACM, (2022)ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training.Q. Zheng, B. Su, J. Yang, A. Azzolini, Q. Wu, O. Jin, S. Karandikar, H. Lupesko, L. Xiong, and E. Zhou. CoRR, (2020)AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.D. Li, Z. Zhang, S. Yuan, M. Gao, W. Zhang, C. Yang, X. Liu, and J. Yang. KDD, page 4370-4379. ACM, (2023)

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Disambiguation of "Yang, Jiyan"

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Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.

Please choose a person to relate this publication to

Jiyan Shi

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Jiyan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.

Please choose a person to relate this publication to

Jiyan Shi

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
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Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.