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 to streamline the building of high-performance scientific computing applications.
We are looking for highly self-motivated PhD, MS, and undergraduate students to join us, doing research on parallel and heterogeneous computing, electronic design automation, and machine learning computing algorithms. My students have been collaborating and working with many companies, such as Nvidia, Intel, Cadence, Synopsys, IBM, and so on.
We are grateful for a new NSF grant to support our high-performance computing (HPC) research (OAC-2209957)!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.23. May 2022
Thank you, Google Summer of Code, for supporting our Taskflow project to enhance the pipeline programming model! Project details can be found at here (contributor: Xiong Zhicheng).21. May 2022
Prof Huang receives ACM SIGDA Meritorious Service Award! The award will be presented at the 2022 ACM/IEEE Design Automation Conference at San Francisco.14. April 2022
We are grateful for receiving an NSF REU Grant to support undergraduate research on parallel computing! Please email Prof Huang if you (an undergraduate in the University of Utah) are interested.4. April 2022
Cheng-Hsiang's paper is accepted by 2022 ACM/IEEE Design Automation Conference (DAC) Late Breaking Result (LBR) Session (20% acceptance rate)!1. April 2022
PhD students have all received summer intern offers (Cheng-Hsiang Chiu and Che Chang with Intel, Wan-Luan Lee with Synopsys, and Dian-Luan Lin with Nvidia Research)! We are grateful for the support of our industrial partners.15. March 2022
Prof Huang receives the prestigious Humboldt Research Fellowship for experienced researchers, hosted by the Technical University of Munich (TUM)!