Tsung-wei Huang
Associate Professor
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolTsung-wei Huang is an associate professor and systems researcher with a decade of experience building software that simplifies high-performance computing for domains like machine learning, CAD, and quantum computing. He transitioned from postdoctoral research to faculty roles at Utah and the University of Wisconsin–Madison, blending applied research with production-quality engineering. His open-source contributions include impactful work on the taskflow C++ library, where he optimized work-stealing thread pools and load balancing in the core runtime. Trained with a PhD in Computer Engineering from UIUC and earlier degrees from National Cheng Kung University and UT Austin, he bridges rigorous academic methods with practical system design. Colleagues know him for turning complex parallelism challenges into maintainable runtime components that scale on real workloads. Based in Madison, he pairs classroom mentorship with hands-on involvement in library internals that power HPC applications.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at National Cheng Kung UniversityGraduate Student Computer Engineering, Graduate Student Computer Engineering at The University of Texas at AustinDoctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at University of Illinois Urbana-Champaign
English, Chinese
Github Skills (10)
scheduling10
scheduled-tasks10
c-language10
sched10
parallel-computing10
cprogramming-language10
task-scheduler10
multithreading10
job-scheduling10
scheduler10
Programming languages (9)
Github contributions (5)
taskflow/taskflow
Apr 2018 - Jan 2023
A General-purpose Task-parallel Programming System using Modern C++
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 releases, 1 review, 922 commits in 4 years 9 months
Contributions summary:Tsung-wei's commits primarily focus on modifications to the work-stealing thread pool implementation within the Taskflow library. The commits involve updates and improvements to the work-stealing algorithm, focusing on the assignment and distribution of tasks, optimizing queueing operations, and incorporating strategies to balance task load. The changes involved modifications to the core thread pool implementation within the C++ code.
multithreadingcuda-programmingtask-programmingmulti-threadingconcurrent-programming
tsung-wei-huang/ece5960-physical-design
Aug 2022 - Nov 2022
Contributions:88 commits, 42 pushes, 2 comments in 3 months
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