Phitchaya Mangpo Phothilimthana

According to our database, Phitchaya Mangpo Phothilimthana authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Accelerating Retrieval-Augmented Language Model Serving with Speculation.

Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia

CoRR, 2024

Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples.

Phitchaya Mangpo Phothilimthana, Saurabh Kadekodi, Soroush Ghodrati, Selene Moon, Martin Maas

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi

CoRR, 2023

Optimizing Memory Mapping Using Deep Reinforcement Learning.

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

CoRR, 2023

Learning Large Graph Property Prediction via Graph Segment Training.

Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural architecture search using property guided synthesis.

Charles Jin, Phitchaya Mangpo Phothilimthana, Sudip Roy

Proc. ACM Program. Lang., 2022

αNAS: Neural Architecture Search using Property Guided Synthesis.

Charles Jin, Phitchaya Mangpo Phothilimthana, Sudip Roy

CoRR, 2022

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

Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou

Proceedings of Machine Learning and Systems 2022, 2022

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation.

Ondrej Sýkora, Phitchaya Mangpo Phothilimthana, Charith Mendis, Amir Yazdanbakhsh

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

2021

A Learned Performance Model for Tensor Processing Units.

Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows

Proceedings of Machine Learning and Systems 2021, 2021

Equality Saturation for Tensor Graph Superoptimization.

Yichen Yang, Phitchaya Mangpo Phothilimthana, Yisu Remy Wang, Max Willsey, Sudip Roy, Jacques Pienaar

Proceedings of Machine Learning and Systems 2021, 2021

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.

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

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

A Learned Performance Model for the Tensor Processing Unit.

Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows

CoRR, 2020

2019

E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers.

Ming Liu, Simon Peter, Arvind Krishnamurthy, Phitchaya Mangpo Phothilimthana

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Swizzle Inventor: Data Movement Synthesis for GPU Kernels.

Phitchaya Mangpo Phothilimthana, Archibald Samuel Elliott, An Wang, Abhinav Jangda, Bastian Hagedorn, Henrik Barthels, Samuel J. Kaufman, Vinod Grover, Emina Torlak, Rastislav Bodík

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Programming Abstractions and Synthesis-Aided Compilation for Emerging Computing Platforms.

Phitchaya Mangpo Phothilimthana

PhD thesis, 2018

Floem: A Programming System for NIC-Accelerated Network Applications.

Phitchaya Mangpo Phothilimthana, Ming Liu, Antoine Kaufmann, Simon Peter, Rastislav Bodík, Thomas E. Anderson

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

2017

Domain-Specific Symbolic Compilation.

Rastislav Bodík, Kartik Chandra, Phitchaya Mangpo Phothilimthana, Nathaniel Yazdani

Proceedings of the 2nd Summit on Advances in Programming Languages, 2017

High-Coverage Hint Generation for Massive Courses: Do Automated Hints Help CS1 Students?

Phitchaya Mangpo Phothilimthana, Sumukh Sridhara

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017

Data-Driven Synthesis of Full Probabilistic Programs.

Sarah E. Chasins, Phitchaya Mangpo Phothilimthana

Proceedings of the Computer Aided Verification - 29th International Conference, 2017

2016

Short and Simple Cycle Separators in Planar Graphs.

Eli Fox-Epstein, Shay Mozes, Phitchaya Mangpo Phothilimthana, Christian Sommer

ACM J. Exp. Algorithmics, 2016

Compiling a gesture recognition application for a low-power spatial architecture.

Phitchaya Mangpo Phothilimthana, Michael Schuldt, Rastislav Bodík

Proceedings of the 17th ACM SIGPLAN/SIGBED Conference on Languages, 2016

GreenThumb: superoptimizer construction framework.

Phitchaya Mangpo Phothilimthana, Aditya Thakur, Rastislav Bodík, Dinakar Dhurjati

Proceedings of the 25th International Conference on Compiler Construction, 2016

Scaling up Superoptimization.

Phitchaya Mangpo Phothilimthana, Aditya Thakur, Rastislav Bodík, Dinakar Dhurjati

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015

Dicer: A Framework for Controlled, Large-Scale Web Experiments.

Sarah E. Chasins, Phitchaya Mangpo Phothilimthana

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014

Chlorophyll: synthesis-aided compiler for low-power spatial architectures.

Phitchaya Mangpo Phothilimthana, Tikhon Jelvis, Rohin Shah, Nishant Totla, Sarah E. Chasins, Rastislav Bodík

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing.

Asif Dhanani, Seung Yeon Lee, Phitchaya Mangpo Phothilimthana, Zachary A. Pardos

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

2013

Communication-minimizing 2D convolution in GPU registers.

Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

Proceedings of the IEEE International Conference on Image Processing, 2013

Portable performance on heterogeneous architectures.

Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013