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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. CoRR, (2021)

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Short and Simple Cycle Separators in Planar Graphs.E. Fox-Epstein, S. Mozes, P. Phothilimthana, and C. Sommer. ALENEX, page 26-40. SIAM, (2013)Swizzle Inventor: Data Movement Synthesis for GPU Kernels.P. Phothilimthana, A. Elliott, A. Wang, A. Jangda, B. Hagedorn, H. Barthels, S. Kaufman, V. Grover, E. Torlak, and R. Bodík. ASPLOS, page 65-78. ACM, (2019)Accelerating Retrieval-Augmented Language Model Serving with Speculation.Z. Zhang, A. Zhu, L. Yang, Y. Xu, L. Li, P. Phothilimthana, and Z. Jia. CoRR, (2024)A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.P. Phothilimthana, A. Sabne, N. Sarda, K. Murthy, Y. Zhou, C. Angermueller, M. Burrows, S. Roy, K. Mandke, R. Farahani and 7 other author(s). PACT, page 1-16. IEEE, (2021)Optimizing Memory Mapping Using Deep Reinforcement Learning.P. Wang, M. Sazanovich, B. Ilbeyi, P. Phothilimthana, M. Purohit, H. Tay, N. Vu, M. Wang, C. Paduraru, E. Leurent and 8 other author(s). CoRR, (2023)αNAS: Neural Architecture Search using Property Guided Synthesis.C. Jin, P. Phothilimthana, and S. Roy. CoRR, (2022)E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers.M. Liu, S. Peter, A. Krishnamurthy, and P. Phothilimthana. USENIX Annual Technical Conference, page 363-378. USENIX Association, (2019)Chlorophyll: synthesis-aided compiler for low-power spatial architectures.P. Phothilimthana, T. Jelvis, R. Shah, N. Totla, S. Chasins, and R. Bodík. PLDI, page 396-407. ACM, (2014)Equality Saturation for Tensor Graph Superoptimization.Y. Yang, P. Phothilimthana, Y. Wang, M. Willsey, S. Roy, and J. Pienaar. MLSys, mlsys.org, (2021)GreenThumb: superoptimizer construction framework.P. Phothilimthana, A. Thakur, R. Bodík, and D. Dhurjati. CC, page 261-262. ACM, (2016)

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Disambiguation of "Phothilimthana, Phitchaya Mangpo"

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A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.

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Disambiguation of "Phothilimthana, Phitchaya Mangpo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.

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A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.