Seminar • Data Systems • Architecture-Tailored Parallelization for Accessible Large Model Era
Please note: This seminar will take place in DC 1304.
Xupeng Miao, Postdoctoral Researcher
Computer Science Department, Carnegie Mellon University
In this talk, I will introduce my work on machine learning (ML) parallelization, a critical endeavor to bridge the significant gap between diverse ML programs and multitiered computing architectures. Specifically, I will explore ML parallelization at three distinct yet interconnected levels.