Portable performance on heterogeneous architectures. - Phitchaya Mangpo Phothilimthana; Jason Ansel; Jonathan Ragan-Kelley; Saman P. Amarasinghe (ASPLOS, 2013)

Communication-minimizing 2D convolution in GPU registers. - Forrest N. Iandola; David Sheffield; Michael J. Anderson; Phitchaya Mangpo Phothilimthana; Kurt Keutzer (ICIP, 2013)

A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing. - Asif Dhanani; Seung Yeon Lee; Phitchaya Mangpo Phothilimthana; Zachary A. Pardos (EDM (Workshops), 2014)

Chlorophyll: synthesis-aided compiler for low-power spatial architectures. - Phitchaya Mangpo Phothilimthana; Tikhon Jelvis; Rohin Shah; Nishant Totla; Sarah E. Chasins; Rastislav Bodík (PLDI, 2014)

Dicer: A Framework for Controlled, Large-Scale Web Experiments. - Sarah E. Chasins; Phitchaya Mangpo Phothilimthana (WWW (Companion Volume), 2015)

Scaling up Superoptimization. - Phitchaya Mangpo Phothilimthana; Aditya Thakur 001; Rastislav Bodík; Dinakar Dhurjati (ASPLOS, 2016)

GreenThumb: superoptimizer construction framework. - Phitchaya Mangpo Phothilimthana; Aditya Thakur 001; Rastislav Bodík; Dinakar Dhurjati (CC, 2016)

Compiling a gesture recognition application for a low-power spatial architecture. - Phitchaya Mangpo Phothilimthana; Michael Schuldt; Rastislav Bodík (LCTES, 2016)

Short and Simple Cycle Separators in Planar Graphs. - Eli Fox-Epstein; Shay Mozes; Phitchaya Mangpo Phothilimthana; Christian Sommer 001 (ACM J. Exp. Algorithmics, 2016)

Data-Driven Synthesis of Full Probabilistic Programs. - Sarah E. Chasins; Phitchaya Mangpo Phothilimthana (CAV (1), 2017)

High-Coverage Hint Generation for Massive Courses: Do Automated Hints Help CS1 Students? - Phitchaya Mangpo Phothilimthana; Sumukh Sridhara (ITiCSE, 2017)

Domain-Specific Symbolic Compilation. - Rastislav Bodík; Kartik Chandra; Phitchaya Mangpo Phothilimthana; Nathaniel Yazdani (SNAPL, 2017)

Floem: A Programming System for NIC-Accelerated Network Applications. - Phitchaya Mangpo Phothilimthana; Ming Liu 027; Antoine Kaufmann; Simon Peter 001; Rastislav Bodík; Thomas E. Anderson (OSDI, 2018)

Programming Abstractions and Synthesis-Aided Compilation for Emerging Computing Platforms. - Phitchaya Mangpo Phothilimthana (2018)

Swizzle Inventor: Data Movement Synthesis for GPU Kernels. - Phitchaya Mangpo Phothilimthana; Archibald Samuel Elliott; An Wang 003; Abhinav Jangda; Bastian Hagedorn; Henrik Barthels; Samuel J. Kaufman; Vinod Grover; Emina Torlak; Rastislav Bodík (ASPLOS, 2019)

E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers. - Ming Liu 027; Simon Peter 001; Arvind Krishnamurthy; Phitchaya Mangpo Phothilimthana (USENIX ATC, 2019)

A Learned Performance Model for the Tensor Processing Unit. - Samuel J. Kaufman; Phitchaya Mangpo Phothilimthana; Yanqi Zhou; Mike Burrows (CoRR, 2020)

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 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

Equality Saturation for Tensor Graph Superoptimization. - Yichen Yang 008; Phitchaya Mangpo Phothilimthana; Yisu Remy Wang; Max Willsey; Sudip Roy 002; Jacques Pienaar (MLSys, 2021)

A Learned Performance Model for Tensor Processing Units. - Samuel J. Kaufman; Phitchaya Mangpo Phothilimthana; Yanqi Zhou; Charith Mendis; Sudip Roy 002; Amit Sabne; Mike Burrows (MLSys, 2021)

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation. - Ondrej Sýkora; Phitchaya Mangpo Phothilimthana; Charith Mendis; Amir Yazdanbakhsh (IISWC, 2022)

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. - Xinfeng Xie; Prakash Prabhu; Ulysse Beaugnon; Phitchaya Mangpo Phothilimthana; Sudip Roy 002; Azalia Mirhoseini; Eugene Brevdo; James Laudon; Yanqi Zhou (MLSys, 2022)

αNAS: Neural Architecture Search using Property Guided Synthesis. - Charles Jin; Phitchaya Mangpo Phothilimthana; Sudip Roy 002 (CoRR, 2022)

Neural architecture search using property guided synthesis. - Charles Jin; Phitchaya Mangpo Phothilimthana; Sudip Roy 002 (Proc. ACM Program. Lang., 2022)

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 (NeurIPS, 2023)

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. - Phitchaya Mangpo Phothilimthana; Sami Abu-El-Haija; Kaidi Cao; Bahare Fatemi; Michael Burrows; Charith Mendis; Bryan Perozzi (NeurIPS, 2023)

Optimizing Memory Mapping Using Deep Reinforcement Learning. - Pengming Wang 001; Mikita Sazanovich; Berkin Ilbeyi; Phitchaya Mangpo Phothilimthana; Manish Purohit; Han Yang Tay; Ngân Vu; Miaosen Wang; Cosmin Paduraru; Edouard Leurent; Anton Zhernov; Julian Schrittwieser; et al. (CoRR, 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)

Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples. - Phitchaya Mangpo Phothilimthana; Saurabh Kadekodi; Soroush Ghodrati; Selene Moon; Martin Maas 001 (ASPLOS (3), 2024)

Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation. - Zhihao Zhang 001; Alan Zhu 001; Lijie Yang 003; Yihua Xu; Lanting Li; Phitchaya Mangpo Phothilimthana; Zhihao Jia (ICML, 2024)

UQE: A Query Engine for Unstructured Databases. - Hanjun Dai; Bethany Wang; Xingchen Wan; Bo Dai 001; Sherry Yang 001; Azade Nova; Pengcheng Yin; Phitchaya Mangpo Phothilimthana; Charles Sutton; Dale Schuurmans (NeurIPS, 2024)

Accelerating Retrieval-Augmented Language Model Serving with Speculation. - Zhihao Zhang 001; Alan Zhu 001; Lijie Yang 003; Yihua Xu; Lanting Li; Phitchaya Mangpo Phothilimthana; Zhihao Jia (CoRR, 2024)

TensorRight: Automated Verification of Tensor Graph Rewrites. - Jai Arora; Sirui Lu; Devansh Jain 001; Tianfan Xu; Farzin Houshmand; Phitchaya Mangpo Phothilimthana; Mohsen Lesani; Praveen Narayanan; Karthik Srinivasa Murthy; Rastislav Bodík; Amit Sabne; Charith Mendis (Proc. ACM Program. Lang., 2025)

Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput. - Arissa Wongpanich; Tayo Oguntebi; Jose Baiocchi Paredes; Yu Emma Wang; Phitchaya Mangpo Phothilimthana; Ritwika Mitra; Zongwei Zhou; Naveen Kumar; Vijay Janapa Reddi (CoRR, 2025)