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Automated checkpointing for enabling intensive applications on energy harvesting devices.

A. Mirhoseini, E. Songhori, and F. Koushanfar. ISLPED, page 27-32. IEEE, (2013)

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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)RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets.A. Mirhoseini, E. Dyer, E. Songhori, R. Baraniuk, and F. Koushanfar. CoRR, (2015)Deep Mixture of Experts via Shallow Embedding.X. Wang, F. Yu, R. Wang, Y. Ma, A. Mirhoseini, T. Darrell, and J. Gonzalez. CoRR, (2018)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)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)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)HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency.A. Mirhoseini, and F. Koushanfar. DATE, page 887-890. IEEE, (2011)DeLight: Adding Energy Dimension To Deep Neural Networks.B. Rouhani, A. Mirhoseini, and F. Koushanfar. ISLPED, page 112-117. ACM, (2016)

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Automated checkpointing for enabling intensive applications on energy harvesting devices.

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Disambiguation of "Mirhoseini, Azalia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated checkpointing for enabling intensive applications on energy harvesting devices.

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Automated checkpointing for enabling intensive applications on energy harvesting devices.