Dhabaleswar K. (DK) Panda is a Professor and Distinguished Scholar of Computer Science at the Ohio State University and a Fellow of IEEE. His research includes parallel computer architecture, high-performance networking, InfiniBand, network-based computing, exascale computing, programming models, GPUs and accelerators, high-performance file systems and storage, virtualization and cloud computing and Big Data. He has published over 400 papers in major journals and conferences. Dr. Panda leads the Network-Based Computing Research Group . Members of his group have obtained a large number of Awards and Recognitions . Students and staff members of this group are involved in multiple state-of-the-art research projects. Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, Omni-Path, iWARP and RoCE. His research group is currently collaborating with national laboratories and leading InfiniBand, Omni-Path, iWARP and RoCE companies. The MVAPICH (High Performance MPI and MPI+PGAS over InfiniBand, iWARP and RoCE with support for GPGPUs, Xeon Phis and Virtualization) software libraries, developed by his research group, are currently being used by more than 2,850 organizations in 85 countries. Multiple software libraries for Big Data processing and management, designed and developed by the group under the High-Performance Big Data (HiBD) project are available. The group has also been focusing on co-designing Deep Learning Frameworks and MPI Libraries. A high-performance and scalable version of the Caffe framework is available from High-Performance Deep Learning (HiDL) project site. Dr. Panda’s research is supported by funding from US NSF, DoE, Ohio Board of Regents and several companies including IBM, Intel, Cisco, Cray, SUN, Mellanox, Microsoft, NVIDIA, QLogic and NetApp. Further information about Dr. Panda can be found at: http://web.cse.ohio-state.edu/~panda.2/, https://insidehpc.com/2017/05/rock-stars-hpc-dk-panda/ and https://insidehpc.com/2016/11/high-performance-deep-learning/.
Raj Jain is currently the Cox Professor of Computer Science and Engineering at Washington University in St. Louis. Dr. Jain is Fellow of IEEE, ACM and AAAS, and winner of multiple awards, such as 2017 ACM SIGCOMM Life-Time Achievement Award, 2015 A. A. Michelson Award, 2006 ACM SIGCOMM Test of Time Award, 2009 CDAC ACCS Foundation Award, 2014 IISc Distinguished Alumnus Award, 2008 WiMAX Forum Individual Contribution Award, and ranks among the Most Cited Authors in Computer Science. Previously, he was one of the co-founders of Nayna Networks, a next generation telecommunications systems company in San Jose, CA. He was a Senior Consulting Engineer at DEC and then a professor of Computer and Information Sciences at Ohio State University. He is the author of “Art of Computer Systems Performance Analysis,” which won the 1991 “Best-Advanced How-to Book, Systems” Award from Computer Press Association. His forth book entitled ” High-Performance TCP/IP: Concepts, Issues, and Solutions” was published by Prentice Hall in November 2003. He has co-edited “Quality of Service Architectures for Wireless Networks: Performance Metrics and Management,” published in April 2010. Further information about Dr. Jain including all his publications can be found at http://www.cse.wustl.edu/~jain/index.html. A detailed CV and a detailed biography are available at http://www.cse.wustl.edu/~jain/cv_jain.htm and http://www.cse.wustl.edu/~jain/bio_jain.htm.