1. Architecture-Centric Bottleneck Analysis for Machine Learning and Deep Learning Applications Open Access Author: Ryoo, Jihyun Title: Architecture-Centric Bottleneck Analysis for Machine Learning and Deep Learning Applications Graduate Program: Computer Science and Engineering (PHD) Keywords: Computer architectureArchitecture profilingMachine learningDeep learningAnalysis modelHigh performance computingManycore systemsParallel computing File: Download Jihyun_Ryoo_Dissertation.pdf Committee Members: Kamesh Madduri, Major Field MemberMahmut Kandemir, Chair & Dissertation AdvisorJohn Sampson, Major Field MemberDinghao Wu, Outside Unit & Field MemberChitaranjan Das, Program Head/Chair
