Prof. Christos Kozyrakis (Stanford University) to speak at ECE-NTUA on January 16, 2025 (10:00-11:00)

Lecture Title: AI Systems beyond Accelerating Linear Algebra

Venue: Multimedia Amphitheater, NTUA Central Library

Abstract: Over the past decade, there has been remarkable progress in the co-design of hardware and software systems for artificial intelligence
(AI). Much of this progress has focused on accelerating computationally-intensive operations, such as the matrix multiplications
in AI training and inference tasks. This talk will address the broader systems issues that are now emerging as significant bottlenecks for AI
workloads. We will review challenges such as making inference resource efficient, optimizing workloads involving multiple AI tasks, and feeding
AI workloads with data. We will advocate for the design of AI infrastructure that looks more like the scale-out systems used for cloud
computing, rather than the supercomputing systems used for HPC. Finally, we will underscore the need to broaden the scope of AI systems co-design
to encompass the applications themselves.

Bio: Christos Kozyrakis is a Professor of Electrical Engineering and Computer Science at Stanford University. His current research focuses on cloud
computing technology, systems design for artificial intelligence, and artificial intelligence for systems design. Christos holds a BS degree
from the University of Crete (Greece) and a PhD degree from the University of California at Berkeley (USA). He is a fellow of the ACM
and the IEEE. He has received the ACM SIGARCH Maurice Wilkes Award, given to individuals who have made outstanding contributions to computer
architecture within the first 20 years of their careers. He has also received the ISCA Influential Paper Award, the ASPLOS Influential Paper
Award the NSF Career Award, the Okawa Foundation Research Grant, and faculty awards by IBM, Microsoft, and Google. Christos has also held
various roles in technology companies such as Google, Intel, and NVIDIA and has helped launch AI infrastructure startups such as Enfabrica and Plix.