Electrical and computer engineering assistant professor Tsung-Wei Huang has received a three-year, $403,114 grant from the National Science Foundation to develop a novel computing system that will address the challenges of designing, implementing, and deploying parallel algorithms on heterogeneous nodes.
“Design automation is one of the most essential steps in today’s circuit design. An intricate circuit has billions of components, and it would be very difficult to put everything together without a more efficient way to solve the problem,” Huang said.
Very-large-scale integration implementation is becoming increasingly complex and will soon exceed what current computer-aided design can handle. Huang’s lab is addressing this issue by incorporating new parallel paradigms to advance performance and productivity. When combined with a new computing system to tackle implementation complexities, the design cycle could be shortened from days to seconds.
Results from this project are open-source to facilitate the transfer of technology and promote participation in and contribution to the project. Collaboration with researchers and developers will allow for diverse new findings, ideas, educational resources and technology.
With the grant, Huang will fund two new Ph.D. students to work in his lab beginning fall 2021. Those students will gain valuable career experience and contribute to research that directly impacts the industry. The grant will also support them in publishing their work and participating in conferences that expose them to experts in the field.
To find out more about this project and apply, visit Huang’s lab.