Sotabase

Career

· Member Of Technical Staff, OpenAI2024–
· Research Scientist, Google2018–2024
· Software Engineer Intern, NVIDIA2018–2018
· Research Intern, Microsoft2016–2016
· Research Intern, Qualcomm2014–2014
· Ph.D Student, UC Berkeley2012–2018
· Sofeware Engineer Intern, Google2010–2010
· Bachelor of Science (BS), Computer Science, Massachusetts Institute of Technology2008–2012

Publications (40)

Chlorophyll: synthesis-aided compiler for low-power spatial architectures
ACM-SIGPLAN Symposium on Programming Language Design and Implementation · 2014
155
cited
E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers
USENIX Annual Technical Conference · 2019
150
cited
Floem: A Programming System for NIC-Accelerated Network Applications
USENIX Symposium on Operating Systems Design and Implementation · 2018
146
cited
Scaling up Superoptimization
International Conference on Architectural Support for Programming Languages and Operating Systems · 2016
116
cited
A Learned Performance Model for Tensor Processing Units
Conference on Machine Learning and Systems · 2021
94
cited
Portable performance on heterogeneous architectures
International Conference on Architectural Support for Programming Languages and Operating Systems · 2013
90
cited
Swizzle Inventor: Data Movement Synthesis for GPU Kernels
International Conference on Architectural Support for Programming Languages and Operating Systems · 2019
41
cited
Chlorophyll : Synthesis-Aided Compiler for Low-Power Spatial Architectures by Phitchaya Mangpo Phothilimthana
2015
32
cited
A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers
International Conference on Parallel Architectures and Compilation Techniques · 2021
30
cited
Communication-minimizing 2D convolution in GPU registers
2013 IEEE International Conference on Image Processing · 2013
29
cited
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Neural Information Processing Systems · 2023
29
cited
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
IEEE International Symposium on Workload Characterization · 2022
25
cited
Accelerating Retrieval-Augmented Language Model Serving with Speculation
arXiv.org · 2024
23
cited
Learned TPU Cost Model for XLA Tensor Programs
2019
21
cited
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing
Educational Data Mining · 2014
20
cited
High-Coverage Hint Generation for Massive Courses: Do Automated Hints Help CS1 Students?
Annual Conference on Innovation and Technology in Computer Science Education · 2017
20
cited
GreenThumb: superoptimizer construction framework
International Conference on Compiler Construction · 2016
19
cited
UQE: A Query Engine for Unstructured Databases
Neural Information Processing Systems · 2024
18
cited
Data-Driven Synthesis of Full Probabilistic Programs
International Conference on Computer Aided Verification · 2017
16
cited
Short and Simple Cycle Separators in Planar Graphs
Workshop on Algorithm Engineering and Experimentation · 2013
12
cited
Sotabase