Ammar Ahmad Awan has received his Ph.D. degree in Computer Science and Engineering from The Ohio State University. He has 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. His 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 18 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, OMB (OSU Micro Benchmarks), and HiDL (High-Performance Deep Learning). He is the lead author of the OSU-Caffe framework (part of HiDL project) that allows efficient distributed training of Deep Neural Networks.
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence