Abstract
Editor’s notes: Mobile devices are increasingly being used to run machine-learning-based applications. This article provides a quantitative evaluation of machine learning inference capabilities of the different components on mobile SoCs and explores their performance limits. -Sudeep Pasricha, Colorado State University.
Type
Publication
IEEE Design & Test
Anuj Pathania
Assistant Professor
Anuj Pathania is an Assistant Professor in the Parallel Computing Systems (PCS) group at the University of Amsterdam (UvA). His research focuses on the design of sustainable systems deployed in power-, thermal-, energy- and reliability-constrained environments.