Broadening the Field of Heterogeneous Computing
The explosion of data produced and consumed coupled with ever demanding performance and power efficiency in this post-Moore’s Law era of computing necessitates the revolutionary hardware design and usage. In this talk, I will highlight three of my recent projects that demonstrate how we leverage hardware acceleration to push the boundaries of emerging applications across domains, as well as how we make hardware accelerated system development more intuitive and accessible akin to software development. The first project accelerates protein-protein interaction using accelerated NLP models, the second project uses deep-learning-based models to predict synthesis results of arbitrary hardware designs in seconds, and the third project is an accelerator composer that provides a programming abstraction for developing and deploying device-agnostic hardware accelerators including optimal placement/routing on multi-die FPGAs.

Dr. Lisa Wu
Assistant Professor, Duke University on February 7, 2025 at 10:15 AM in EB2 1231
Lisa Wu Wills is an Assistant Professor of Computer Science and ECE at Duke University. Prior to Duke, she was a postdoctoral researcher at the UC Berkeley and a research scientist at Intel Labs. Her research interests include computer architecture and microarchitecture, hardware acceleration, hardware-software co-design, emerging applications in big data, healthcare, and artificial intelligence. Wills has a PhD in computer science from Columbia University. Her research is recognized via various awards such as an NSF CAREER Award, a VMware Early Career Faculty Grant, IEEE Micro Top Picks (x3) and Honorable Mentions (x2), and best paper awards from MICRO and ISPASS.

This lecture series features exciting and dynamic visiting and virtual speakers from across the range of ECE disciplines. Take some time every Friday morning to be inspired by these great scientists and engineers before heading into the weekend!