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Transferable Graph Optimizers for ML Compilers.

Y. Zhou, S. Roy, A. Abdolrashidi, D. Wong, P. Ma, Q. Xu, H. Liu, M. Phothilimtha, S. Wang, A. Goldie, A. Mirhoseini, and J. Laudon. NeurIPS, (2020)

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Placement Optimization with Deep Reinforcement Learning.A. Goldie, and A. Mirhoseini. CoRR, (2020)DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives.F. Koushanfar, A. Mirhoseini, G. Qu, and Z. Zhang. ICCAD, page 255-262. IEEE, (2015)Representing Long-Range Context for Graph Neural Networks with Global Attention.Z. Wu, P. Jain, M. Wright, A. Mirhoseini, J. Gonzalez, and I. Stoica. NeurIPS, page 13266-13279. (2021)Real time emulations: foundation and applications.A. Mirhoseini, Y. Alkabani, and F. Koushanfar. DAC, page 623-624. ACM, (2010)Going deeper than deep learning for massive data analytics under physical constraints.B. Rouhani, A. Mirhoseini, and F. Koushanfar. CODES+ISSS, page 17:1-17:3. ACM, (2016)Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.N. Shazeer, A. Mirhoseini, K. Maziarz, A. Davis, Q. Le, G. Hinton, and J. Dean. ICLR (Poster), OpenReview.net, (2017)Device Placement Optimization with Reinforcement Learning.A. Mirhoseini, H. Pham, Q. Le, B. Steiner, R. Larsen, Y. Zhou, N. Kumar, M. Norouzi, S. Bengio, and J. Dean. ICML, volume 70 of Proceedings of Machine Learning Research, page 2430-2439. PMLR, (2017)A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.X. Xie, P. Prabhu, U. Beaugnon, P. Phothilimthana, S. Roy, A. Mirhoseini, E. Brevdo, J. Laudon, and Y. Zhou. MLSys, mlsys.org, (2022)RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.A. Mirhoseini, E. Dyer, E. Songhori, R. Baraniuk, and F. Koushanfar. CoRR, (2015)GAP: Generalizable Approximate Graph Partitioning Framework.A. Nazi, W. Hang, A. Goldie, S. Ravi, and A. Mirhoseini. CoRR, (2019)

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Transferable Graph Optimizers for ML Compilers.

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Disambiguation of "Mirhoseini, Azalia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Transferable Graph Optimizers for ML Compilers.

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Transferable Graph Optimizers for ML Compilers.