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Bandana: Using Non-Volatile Memory for Storing Deep Learning Models.

A. Eisenman, M. Naumov, D. Gardner, M. Smelyanskiy, S. Pupyrev, K. Hazelwood, A. Cidon, and S. Katti. SysML, mlsys.org, (2019)

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Check-N-Run: A Checkpointing System for Training Recommendation Models.A. Eisenman, K. Matam, S. Ingram, D. Mudigere, R. Krishnamoorthi, M. Annavaram, K. Nair, and M. Smelyanskiy. CoRR, (2020)Differentiable NAS Framework and Application to Ads CTR Prediction.R. Krishna, A. Kalaiah, B. Wu, M. Naumov, D. Mudigere, M. Smelyanskiy, and K. Keutzer. CoRR, (2021)Zion: Facebook Next- Generation Large Memory Training Platform.M. Smelyanskiy. Hot Chips Symposium, page 1-22. IEEE, (2019)Glow: Graph Lowering Compiler Techniques for Neural Networks.N. Rotem, J. Fix, S. Abdulrasool, S. Deng, R. Dzhabarov, J. Hegeman, R. Levenstein, B. Maher, N. Satish, J. Olesen and 3 other author(s). CoRR, (2018)Bandana: Using Non-Volatile Memory for Storing Deep Learning Models.A. Eisenman, M. Naumov, D. Gardner, M. Smelyanskiy, S. Pupyrev, K. Hazelwood, A. Cidon, and S. Katti. SysML, mlsys.org, (2019)Bandana: Using Non-volatile Memory for Storing Deep Learning Models.A. Eisenman, M. Naumov, D. Gardner, M. Smelyanskiy, S. Pupyrev, K. Hazelwood, A. Cidon, and S. Katti. CoRR, (2018)A Study of BFLOAT16 for Deep Learning Training.D. Kalamkar, D. Mudigere, N. Mellempudi, D. Das, K. Banerjee, S. Avancha, D. Vooturi, N. Jammalamadaka, J. Huang, H. Yuen and 9 other author(s). CoRR, (2019)Deep Learning Recommendation Model for Personalization and Recommendation SystemsM. Naumov, D. Mudigere, H. Shi, J. Huang, N. Sundaraman, J. Park, X. Wang, U. Gupta, C. Wu, A. Azzolini and 14 other author(s). (2019)cite arxiv:1906.00091Comment: 10 pages, 6 figures.Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models.A. Eisenman, K. Matam, S. Ingram, D. Mudigere, R. Krishnamoorthi, K. Nair, M. Smelyanskiy, and M. Annavaram. NSDI, page 929-943. USENIX Association, (2022)Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization.C. Unger, Z. Jia, W. Wu, S. Lin, M. Baines, C. Narvaez, V. Ramakrishnaiah, N. Prajapati, P. McCormick, J. Mohd-Yusof and 5 other author(s). OSDI, page 267-284. USENIX Association, (2022)

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Bandana: Using Non-Volatile Memory for Storing Deep Learning Models.

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Disambiguation of "Smelyanskiy, Misha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Bandana: Using Non-Volatile Memory for Storing Deep Learning Models.

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Bandana: Using Non-Volatile Memory for Storing Deep Learning Models.