Welcome to TW’s Research Group

We are a research group supervised by Prof Tsung-Wei (TW) Huang at the Department of Electrical and Computer Engineering in the University of Utah. Our group creates novel software systems (e.g., Taskflow, OpenTimer, DtCraft, SNIG, RTLflow) to streamline the building of high-performance computing applications.

Join us!

We are looking for highly self-motivated PhD, MS, and undergraduate students to join us, doing research on parallel and heterogeneous computing, computer-aided design, and machine learning systems. My students have been collaborating and working with many companies, such as Nvidia, Intel, Cadence, Synopsys, IBM, and so on.

Please email Prof Huang your resume and research interest (see our Research and Why Join Our Team?).


We are grateful for funding from University of Utah, National Science Foudation, Defense Advanced Research Projects Agency, NumFocus, and Nvidia.


15. Sep 2022

We are grateful for a new NSF grant to support building task-parallel programming ecosystem for modern scientific computing (TI-2229304)!

2. Sep 2022

Prof Huang gave a talk, Programming System for Building High-performance CAD Applications, to Google X (The Moonshot Factory).

10. Aug 2022

Prof Huang gave a talk, A General-purpose Parallel and Heterogeneous Task Programming System, to AMD Vivado Team.

20. July 2022

Prof Huang gave a talk about our research on GPU-acceleration for circuit simulation to 2022 International Workshop on Logic & Synthesis (IWLS).

16. July 2022

Prof Huang received ACM SIGDA Meritorious Service Award, presented at the 2022 ACM/IEEE Design Automation Conference at San Francisco.

26. June 2022

We are grateful for a new NSF grant to support our high-performance computing (HPC) research (OAC-2209957)!

21. June 2022

Prof Huang gave a talk, Intelligent Heterogeneous Computing, to AMD Research.

16. June 2022

Dian-Luan's paper is accepted by 2022 ACM International Conference on Parallel Processing (ICPP)! This year is very competitive with only 27% acceptance rate.

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