Welcome to my home page. I am a Professor and University Distinguished Scholar of Computer Science and Engineering at The Ohio State University. I lead the Network-Based Computing Research Group. I am the Director of the newly established $20M NSF-AI Institute ICICLE .
My contact address is:
Dept. of Computer Science and Engineering|
Dreese Lab 785
The Ohio State University
2015 Neil Avenue
Columbus, OH-43210, USA
Tel: (614) 292-5199|
Fax: (614) 292-2911
Email: panda AT cse.ohio-state.edu
High-Performance Computing, High-Performance Networking, Big Data Analytics, Deep/Machine Learning, AI, Cloud Computing, GPUs and Accelerators, File Systems and Storage, and Exascale Computing
Dr. Dhabaleswar K. (DK) Panda is a Professor and Distinguished Scholar of Computer Science at the Ohio State University. He obtained his Ph.D. in computer engineering from the University of Southern California. His research interests include high-performance computing, high-performance networking (InfiniBand), big data analytics (Spark and Hadoop), Deep Learning, cloud computing, Virtualization, GPUs and accelerators, file systems and storage, and exascale computing. He has published over 500 papers in major journals and international conferences related to these research areas. Dr. Panda has served (or serving) as Program Chair/Co-Chair/Vice Chair of many international conferences and workshops including SCAsia '20, ISC '20, CCGrid '18, ExaComm (15-21), ESPM2 (15-21), HPBDC (15-19), CCGrid '16, PGAS '15, HPBDC '15, HiPC '12, CCGrid '12, HiPC '11, IEEE Cluster (Cluster)'10, Supercomputing (SC)'08, ANCS '07, Hot Interconnect 2007, IPDPS '07, HiPC '07, Hot Interconnect 2006, CAC (2001-04), ICPP '01, CANPC (1997-98) and ICPP '98. He has served as the General Chair/Co-Chair of CCGrid '20, IEEE Micro '19, and ICPP '06. He has served as an Associate Editor of IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Computers (TC), and Journal of Parallel and Distributed Computing (JPDC). Currently, he is serving as a Co-Editor-in-Chief of CCF Transactions on High-Performance Computing. He has served as Program Committee Member for more than 100 international conferences and workshops. Prof. Panda is a motivated speaker. He has Served as an IEEE Distinguished Visitor and an IEEE Chapters Tutorial Speaker. He has delivered a large number of invited Keynote/Plenary Talks, Tutorials and Presentations Worldwide.
Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, Omni-Path, iWARP, AWS EFA, and RoCE. His research group is currently collaborating with National Laboratories and leading InfiniBand, Omni-Path, iWARP and RoCE companies on designing various subsystems of next generation high-end systems. The MVAPICH (High Performance MPI and MPI+PGAS over InfiniBand, iWARP and RoCE with support for GPGPUs and Virtualization) software libraries , developed by his research group, are currently being used by more than 3,300 organizations worldwide (in 90 countries). These software packages have enabled several InfiniBand clusters to get into the latest TOP500 ranking. As of Feb '23, more than 1.65M downloads of this software have taken place from the project website alone. These software packages are also available with the software stacks for network vendors (InfiniBand, Omni-Path, RoCE, AWS EFA, iWARP, and Slingshot), server vendors, packages (OpenHPC and Spack), and Linux distributors (such as RedHat and SuSE). This software is currently powering the #7 supercomputer in the world.
Multiple software libraries for Big Data processing and management, designed and developed by the group under High-Performance Big Data (HiBD) Project are available. These include: 1) MPI4Dask for data-science applications, 2) MPI4Spark for big data analytics applications; 3) RDMA-enabled Apache Hadoop Software library providing native RDMA (InfiniBand Verbs and RoCE) support for multiple components (HDFS, MapReduce and RPC) of Apache Hadoop; 4) RDMA-enabled Spark Software library providing native RDMA (InfiniBand Verbs and RoCE) support; 5) RDMA-Memcached Software library for providing native RDMA (InfiniBand Verbs and RoCE) support for Memcached used in Web 2.0 environment; and 5) OSU High-performance Big data Benchmarks (OHB). Sample performance numbers and download instructions for these packages are available from the above-mentioned website. These libraries are currently being used by more than 355 organizations worldwide (in 39 countries). As of Feb '23, more than 47,000 downloads of this software have taken place from the project website alone.
The group has also been focusing on accelerating Deep Learning (DL) Frameworks (TensorFlow and PyTorch) and Machine Learning (ML) Frameworks on modern HPC clusters and supercomputers. MPI-driven approaches to high-performance and scalable versions of the DL/ML frameworks are available from High-Performance Deep Learning (HiDL) Project site.
Dr. Panda leads Network-Based Computing Research Group . Students and staff members of this group are involved in multiple state-of-the-art research projects . Members of his group have obtained a large number of Awards and Recognitions . Dr. Panda's research is supported by funding from US National Science Foundation, US Department of Energy, US Department of Defense, Ohio Board of Regents, Ohio Department of DEvelopment and several industry including AMD, ARM, Broadcom, IBM, Intel, Cisco, Cray, Oracle, SUN, Mellanox, Microsoft, NVIDIA, Pattern Computer, Rockport Networks, QLogic and NetApp.
Dr. Panda is a Fellow of IEEE and a member of ACM. He is a recipient of the 2022 IEEE Charles Babbage Award.
More details on Dr. Panda can be obtained from his detailed Vita .
I usually teach the following courses.
My teaching assignment for the 2022-23 academic year is as follows:
My office is located in DL 785. During the online sessions, if you need to meet me, please send me an e-mail at panda AT cse.ohio-state.edu to make an appointment. You are also welcome to send me your questions/doubts through e-mail and I will try my best to answer them asap.