Ammar Ahmad Awan received his B.S. and M.S.degrees in Computer Science and Engineering from National University of Science and Technology (NUST), Pakistan and Kyung Hee University (KHU), South Korea, respectively. Currently, Ammar is working towards his Ph.D. degree in Computer Science and Engineering at The Ohio State University. His current research focus lies at the intersection of High-Performance Computing (HPC) libraries and Deep Learning (DL) frameworks. He previously worked on a Java-based Message Passing Interface (MPI) and nested parallelism with OpenMP and MPI for scientific applications. He has published 14 papers in conferences and journals related to these research areas. He actively contributes to various projects like MVAPICH2-GDR (High-Performance MPI for GPU clusters, OSU Micro-Benchmarks, and HiDL (High-Performance Deep Learning). He is the lead author of the OSU-Caffe framework that allows efficient distributed training of Deep Neural Networks.
AI/Machine Learning/Deep Learning
Programming Models & Languages