Abstract: HPC systems are increasing in complexity, with the use of accelerators, complex interconnects, and growing number of nodes. These systems are critical to solving scientific challenges in areas such as materials design, climate modeling, computational biology, and the use of AI to advance scientific discovery. Generally, performance of such systems is focused on metrics such as runtime or throughput. However, the power requirement is becoming a major issue with current systems requiring tens of megawatts. Future HPC data centers are even considering gigawatts of power demand. This talk will focus on the importance of curriculum that exposes students to energy efficiency in terms of system design, application development, and monitoring.
Speaker Bio: Valerie Taylor is the Director of the Mathematics and Computer Science Division and a Distinguished Fellow at Argonne National Laboratory. Her research is in high-performance computing, with a focus on performance analysis, modeling and tuning of parallel, scientific applications using AI. Her current work is on energy efficient methods.
Prior to joining Argonne, she was the Senior Associate Dean of Academic Affairs in the College of Engineering and a Regents Professor and the Royce E. Wisenbaker Professor in the Department of Computer Science and Engineering at Texas A&M University. In 2003, she joined Texas A&M University as the Department Head of CSE, where she remained in that position until 2011. Prior to joining Texas A&M, Valerie Taylor was a member of the faculty in the EECS Department at Northwestern University for eleven years. She is also the CEO and President of the Center for Minorities and People with Disabilities in IT (CMD-IT), for which she is a co-founder.
Valerie Taylor is an IEEE Fellow, ACM Fellow, and AAAS Fellow.