Dhabaleswar K. (DK) Panda

Biography
Dhabaleswar K. (DK) Panda is a Professor of Computer Science and Engineering at the Ohio State University. His research interests include parallel computer architecture, high performance networking, InfiniBand, Exascale computing, Big Data, programming models, GPUs and accelerators, high performance file systems and storage, virtualization and cloud computing. He has published over 400 papers in major journals and international conferences related to these research areas. Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, High-Speed Ethernet and RDMA over Converged Enhanced Ethernet (RoCE). The MVAPICH2 (High Performance MPI over InfiniBand, iWARP and RoCE) and MVAPICH2-X (Hybrid MPI and PGAS (OpenSHMEM, CAF and UPC)) software packages, developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 2,500 organizations worldwide (in 76 countries). This software has enabled several InfiniBand clusters to get into the latest TOP500 ranking during the last decade. More than 346,000 downloads of this software have taken place from the project’s website alone. This software package is also available with the software stacks of many network and server vendors, and Linux distributors. Recently, Dr. Panda and his team have also developed high performance RDMA-enabled Apache Hadoop and Memcached software packages (http://hibd.cse.ohio-state.edu) to accelerate Big Data applications. Dr. Panda’s research has been supported by funding from US National Science Foundation, US Department of Energy, and several industry including Intel, Cisco, Cray, SUN, Mellanox, QLogic, NVIDIA and NetApp. He is an IEEE Fellow and a member of ACM. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/∼panda.
Presentations
Tutorial
Accelerators
Advanced
Architectures
Intermediate
Networks
Paper
Advanced
Architectures
Intermediate
Networks
System Software
Workshop
Programming Systems
SIGHPC Workshop
System Software
Tutorial
Big Data Meets HPC: Exploiting HPC Technologies for Accelerating Apache Hadoop, Spark, and Memcached
Accelerators
Intermediate
Networks








