In this seminar, Dr. Huang will talk about several research projects of my group to make parallel and heterogeneous computing easier to handle, with a specific focus on CAD applications. Dr. Huang will present a novel programming environment and a learning-based runtime that streamline the implementation complexity of large heterogeneous programs. For example, they have shown up to 500x speed-up using their system to accelerate a circuit simulation workload. Their software releases have accumulated over 1.5M downloads, being used by several academic and industrial projects.

Speaker Bio:

Prof. Tsung-Wei Huang is an assistant professor in the ECE Department at the University of Utah. He received his PhD from the ECE Department at the University of Illinois at Urbana-Champaign. He has been researching high-performance computing systems and applications in the area of computer-aided design, machine learning, and scientific computing. He has created several open-source software (e.g., Taskflow, OpenTimer) that is being used by many people.