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Perform-ML: performance optimized machine learning by platform and content aware customization.

A. Mirhoseini, B. Rouhani, E. Songhori, and F. Koushanfar. DAC, page 20:1-20:6. ACM, (2016)

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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 Full-stack Accelerator Search Technique for Vision Applications.D. Zhang, S. Huda, E. Songhori, Q. Le, A. Goldie, and A. Mirhoseini. CoRR, (2021)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)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)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)Chip Placement with Deep Reinforcement Learning.A. Mirhoseini, A. Goldie, M. Yazgan, J. Jiang, E. Songhori, S. Wang, Y. Lee, E. Johnson, O. Pathak, S. Bae and 12 other author(s). CoRR, (2020)Scalability and Generalization of Circuit Training for Chip Floorplanning.S. Yue, E. Songhori, J. Jiang, T. Boyd, A. Goldie, A. Mirhoseini, and S. Guadarrama. ISPD, page 65-70. ACM, (2022)

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Perform-ML: performance optimized machine learning by platform and content aware customization.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Perform-ML: performance optimized machine learning by platform and content aware customization.

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Perform-ML: performance optimized machine learning by platform and content aware customization.