Phitchaya Mangpo Phothilimthana
Phitchaya Mangpo Phothilimthana
Google DeepMind
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Cited by
Cited by
E3:{Energy-Efficient} microservices on {SmartNIC-Accelerated} servers
M Liu, S Peter, A Krishnamurthy, PM Phothilimthana
2019 USENIX Annual Technical Conference (USENIX ATC 19), 363-378, 2019
Portable performance on heterogeneous architectures
PM Phothilimthana, J Ansel, J Ragan-Kelley, S Amarasinghe
ACM SIGARCH Computer Architecture News 41 (1), 431-444, 2013
Scaling up superoptimization
PM Phothilimthana, A Thakur, R Bodik, D Dhurjati
Proceedings of the Twenty-First International Conference on Architectural …, 2016
Floem: A Programming System for {NIC-Accelerated} Network Applications
PM Phothilimthana, M Liu, A Kaufmann, S Peter, R Bodik, T Anderson
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
Chlorophyll: Synthesis-aided compiler for low-power spatial architectures
PM Phothilimthana, T Jelvis, R Shah, N Totla, S Chasins, R Bodik
ACM SIGPLAN Notices 49 (6), 396-407, 2014
A learned performance model for tensor processing units
S Kaufman, P Phothilimthana, Y Zhou, C Mendis, S Roy, A Sabne, ...
Proceedings of Machine Learning and Systems 3, 387-400, 2021
Equality saturation for tensor graph superoptimization
Y Yang, P Phothilimthana, Y Wang, M Willsey, S Roy, J Pienaar
Proceedings of Machine Learning and Systems 3, 255-268, 2021
Transferable graph optimizers for ml compilers
Y Zhou, S Roy, A Abdolrashidi, D Wong, P Ma, Q Xu, H Liu, ...
Advances in Neural Information Processing Systems 33, 13844-13855, 2020
Swizzle inventor: data movement synthesis for GPU kernels
PM Phothilimthana, AS Elliott, A Wang, A Jangda, B Hagedorn, H Barthels, ...
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
Communication-minimizing 2D convolution in GPU registers
FN Iandola, D Sheffield, MJ Anderson, PM Phothilimthana, K Keutzer
2013 IEEE International Conference on Image Processing, 2116-2120, 2013
High-coverage hint generation for massive courses: Do automated hints help CS1 students?
PM Phothilimthana, S Sridhara
Proceedings of the 2017 ACM Conference on Innovation and Technology in …, 2017
A comparison of error metrics for learning model parameters in bayesian knowledge tracing
A Dhanani, SY Lee, PM Phothilimthana, Z Pardos
Workshop Approaching Twenty Years of Knowledge Tracing (BKT20y), 8, 2014
A flexible approach to autotuning multi-pass machine learning compilers
PM Phothilimthana, A Sabne, N Sarda, KS Murthy, Y Zhou, ...
2021 30th International Conference on Parallel Architectures and Compilation …, 2021
Data-driven synthesis of full probabilistic programs
S Chasins, PM Phothilimthana
Computer Aided Verification: 29th International Conference, CAV 2017 …, 2017
Greenthumb: Superoptimizer construction framework
PM Phothilimthana, A Thakur, R Bodik, D Dhurjati
Proceedings of the 25th International Conference on Compiler Construction …, 2016
Short and simple cycle separators in planar graphs
E Fox-Epstein, S Mozes, PM Phothilimthana, C Sommer
Journal of Experimental Algorithmics (JEA) 21, 1-24, 2016
Learned TPU cost model for XLA tensor programs
S Kaufman, PM Phothilimthana, M Burrows
Proc. Workshop ML Syst. NeurIPS, 1-6, 2019
Domain-specific symbolic compilation
R Bodik, K Chandra, PM Phothilimthana, N Yazdani
2nd Summit on Advances in Programming Languages (SNAPL 2017), 2017
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
O Sıkora, PM Phothilimthana, C Mendis, A Yazdanbakhsh
2022 IEEE International Symposium on Workload Characterization (IISWC), 14-26, 2022
Neural architecture search using property guided synthesis
C Jin, PM Phothilimthana, S Roy
Proceedings of the ACM on Programming Languages 6 (OOPSLA2), 1150-1179, 2022
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