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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.

A. Mirhoseini, E. Dyer, E. Songhori, R. Baraniuk, and F. Koushanfar. CoRR, (2015)

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Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.P. Jain, S. Huda, M. Maas, J. Gonzalez, I. Stoica, and A. Mirhoseini. DATE, page 184-189. IEEE, (2022)A Full-stack Accelerator Search Technique for Vision Applications.D. Zhang, S. Huda, E. Songhori, Q. Le, A. Goldie, and A. Mirhoseini. CoRR, (2021)Deep Mixture of Experts via Shallow Embedding.X. Wang, F. Yu, R. Wang, Y. Ma, A. Mirhoseini, T. Darrell, and J. Gonzalez. CoRR, (2018)RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.A. Mirhoseini, E. Dyer, E. Songhori, R. Baraniuk, and F. Koushanfar. CoRR, (2015)Delving into Macro Placement with Reinforcement Learning.Z. Jiang, E. Songhori, S. Wang, A. Goldie, A. Mirhoseini, J. Jiang, Y. Lee, and D. Pan. MLCAD, page 1-3. IEEE, (2021)A Single-Shot Generalized Device Placement for Large Dataflow Graphs.Y. Zhou, S. Roy, A. Abdolrashidi, D. Wong, P. Ma, Q. Xu, A. Mirhoseini, and J. Laudon. IEEE Micro, 40 (5): 26-36 (2020)GAP: Generalizable Approximate Graph Partitioning Framework.A. Nazi, W. Hang, A. Goldie, S. Ravi, and A. Mirhoseini. CoRR, (2019)DeLight: Adding Energy Dimension To Deep Neural Networks.B. Rouhani, A. Mirhoseini, and F. Koushanfar. ISLPED, page 112-117. ACM, (2016)HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency.A. Mirhoseini, and F. Koushanfar. DATE, page 887-890. IEEE, (2011)Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning.B. Rouhani, A. Mirhoseini, and F. Koushanfar. DAC, page 61:1-61:6. ACM, (2017)

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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.

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Disambiguation of "Mirhoseini, Azalia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.

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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.