A Study on Resources Utilization of Deep Learning Workloads
Studying reinforcement learning methods to place deep learning operations in a heterogeneous computing system will reduce energy input.
Ming Zhao
Ming Zhao is an associate professor of the Arizona State University (ASU) School of Computing, Informatics, and Decision Systems Engineering (CIDSE), where he directs the research laboratory for Virtualized Infrastructures, Systems, and Applications (VISA). His research is in the areas of experimental computer systems, including distributed/cloud, big-data, and high-performance systems as well as operating systems and storage in general.
Total projects: 2
Projects
Are Existing Knowledge Transfer Techniques Effective to Train Deep Networks On Edge Devices?
Ragini Sistla
MORE: Spring 2018
