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 innovative software systems (Taskflow, OpenTimer, DtCraft, SNIG) to assist researchers to implement high-performance scientific computing programs.
We are looking for highly self-motivated PhD, MS, and undergraduate students joining us, doing research on parallel and heterogeneous computing, electronic design automation, and machine learning computing algorithms. Please email Prof Huang your resume and research interest (see our Research and Why Join Our Team?).
We are grateful for receiving the prestigious NSF CAREER Award to support our research on parallel and heterogeneous circuit simulation algorithms (CAREER-2144523)!24. Dec 2021
Accelerating Large Sparse Neural Network Inference using GPU Task Graph Parallelism, is accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS)!
We are grateful for a hardware donation of two RTX 6000 GPUs by Nvidia to support our GPU computing research!13. Oct 2021
Prof Huang's paper,
A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs, is accepted by IEEE TCAD!
Prof Huang will give a talk,
A General-purpose Parallel and Heterogeneous Task Graph Programming System, at the 2021 Intel eXtreme Performance User Group (IXPUG) Conference.
McKay and Luke's paper,
Taskflow-San: Sanitizing Erroneous Control Flow in Taskflow Programs, is accepted by 2021 IEEE ESPM2!