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ORCIDPhitchaya Mangpo Phothilimthana
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2020 – today
- 2024
[c24]Phitchaya Mangpo Phothilimthana
, Saurabh Kadekodi, Soroush Ghodrati, Selene Moon, Martin Maas:
Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples. ASPLOS (3) 2024: 1016-1032- [c23]Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia:
Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation. ICML 2024 - [i9]Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia:
Accelerating Retrieval-Augmented Language Model Serving with Speculation. CoRR abs/2401.14021 (2024) - [i8]Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans:
UQE: A Query Engine for Unstructured Databases. CoRR abs/2407.09522 (2024) - 2023
- [c22]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS 2023 - [c21]Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi:
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. NeurIPS 2023 - [i7]Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi, Phitchaya Mangpo Phothilimthana, Manish Purohit, Han Yang Tay, Ngân Vu, Miaosen Wang, Cosmin Paduraru, Edouard Leurent, Anton Zhernov, Julian Schrittwieser, Thomas Hubert, Robert Tung, Paula Kurylowicz, Kieran Milan, Oriol Vinyals, Daniel J. Mankowitz:
Optimizing Memory Mapping Using Deep Reinforcement Learning. CoRR abs/2305.07440 (2023) - [i6]Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi:
Learning Large Graph Property Prediction via Graph Segment Training. CoRR abs/2305.12322 (2023) - [i5]Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi:
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR abs/2308.13490 (2023) - 2022
- [j2]Charles Jin, Phitchaya Mangpo Phothilimthana, Sudip Roy:
Neural architecture search using property guided synthesis. Proc. ACM Program. Lang. 6(OOPSLA2): 1150-1179 (2022) - [c20]Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh:
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation. IISWC 2022: 14-26 - [c19]Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou:
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys 2022 - [i4]Charles Jin, Phitchaya Mangpo Phothilimthana, Sudip Roy:
αNAS: Neural Architecture Search using Property Guided Synthesis. CoRR abs/2205.03960 (2022) - [i3]Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh:
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation. CoRR abs/2210.03894 (2022) - 2021
- [c18]Phitchaya Mangpo Phothilimthana, Amit Sabne, Nikhil Sarda, Karthik Srinivasa Murthy, Yanqi Zhou, Christof Angermueller, Mike Burrows, Sudip Roy, Ketan Mandke, Rezsa Farahani, Yu Emma Wang, Berkin Ilbeyi, Blake A. Hechtman, Bjarke Roune, Shen Wang, Yuanzhong Xu, Samuel J. Kaufman:
A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. PACT 2021: 1-16 - [c17]Yichen Yang, Phitchaya Mangpo Phothilimthana, Yisu Remy Wang, Max Willsey, Sudip Roy, Jacques Pienaar:
Equality Saturation for Tensor Graph Superoptimization. MLSys 2021 - [c16]Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows:
A Learned Performance Model for Tensor Processing Units. MLSys 2021 - [i2]Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou:
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR abs/2112.04041 (2021) - 2020
- [i1]Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows:
A Learned Performance Model for the Tensor Processing Unit. CoRR abs/2008.01040 (2020)
2010 – 2019
- 2019
- [c15]Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík:
Swizzle Inventor: Data Movement Synthesis for GPU Kernels. ASPLOS 2019: 65-78 - [c14]Ming Liu, Simon Peter, Arvind Krishnamurthy, Phitchaya Mangpo Phothilimthana:
E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers. USENIX ATC 2019: 363-378 - 2018
- [b1]Phitchaya Mangpo Phothilimthana:
Programming Abstractions and Synthesis-Aided Compilation for Emerging Computing Platforms. University of California, Berkeley, USA, 2018 - [c13]Phitchaya Mangpo Phothilimthana, Ming Liu, Antoine Kaufmann, Simon Peter, Rastislav Bodík, Thomas E. Anderson:
Floem: A Programming System for NIC-Accelerated Network Applications. OSDI 2018: 663-679 - 2017
- [c12]Sarah E. Chasins, Phitchaya Mangpo Phothilimthana:
Data-Driven Synthesis of Full Probabilistic Programs. CAV (1) 2017: 279-304 - [c11]Phitchaya Mangpo Phothilimthana, Sumukh Sridhara:
High-Coverage Hint Generation for Massive Courses: Do Automated Hints Help CS1 Students? ITiCSE 2017: 182-187 - [c10]Rastislav Bodík, Kartik Chandra, Phitchaya Mangpo Phothilimthana, Nathaniel Yazdani:
Domain-Specific Symbolic Compilation. SNAPL 2017: 2:1-2:17 - 2016
- [j1]Eli Fox-Epstein, Shay Mozes, Phitchaya Mangpo Phothilimthana, Christian Sommer:
Short and Simple Cycle Separators in Planar Graphs. ACM J. Exp. Algorithmics 21(1): 2.2:1-2.2:24 (2016) - [c9]Phitchaya Mangpo Phothilimthana, Aditya Thakur, Rastislav Bodík, Dinakar Dhurjati:
Scaling up Superoptimization. ASPLOS 2016: 297-310 - [c8]Phitchaya Mangpo Phothilimthana, Aditya Thakur, Rastislav Bodík, Dinakar Dhurjati:
GreenThumb: superoptimizer construction framework. CC 2016: 261-262 - [c7]Phitchaya Mangpo Phothilimthana, Michael Schuldt, Rastislav Bodík:
Compiling a gesture recognition application for a low-power spatial architecture. LCTES 2016: 102-112 - 2015
- [c6]Sarah E. Chasins, Phitchaya Mangpo Phothilimthana:
Dicer: A Framework for Controlled, Large-Scale Web Experiments. WWW (Companion Volume) 2015: 1321-1326 - 2014
- [c5]Asif Dhanani, Seung Yeon Lee, Phitchaya Mangpo Phothilimthana, Zachary A. Pardos:
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing. EDM (Workshops) 2014 - [c4]Phitchaya Mangpo Phothilimthana, Tikhon Jelvis, Rohin Shah, Nishant Totla, Sarah E. Chasins, Rastislav Bodík:
Chlorophyll: synthesis-aided compiler for low-power spatial architectures. PLDI 2014: 396-407 - 2013
- [c3]Eli Fox-Epstein, Shay Mozes, Phitchaya Mangpo Phothilimthana, Christian Sommer:
Short and Simple Cycle Separators in Planar Graphs. ALENEX 2013: 26-40 - [c2]Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe:
Portable performance on heterogeneous architectures. ASPLOS 2013: 431-444 - [c1]Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer:
Communication-minimizing 2D convolution in GPU registers. ICIP 2013: 2116-2120
Coauthor Index
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last updated on 2024-09-09 00:17 CEST by the dblp team
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