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Overview of the MVAPICH Project and Future Roadmap

DK Panda, Ohio State University

In this video from the MVAPICH User Group, DK Panda from Ohio State University presents: Overview of the MVAPICH Project and Future Roadmap.

This talk will provide an overview of the MVAPICH project (past, present, and future). Future roadmap and features for upcoming releases of the MVAPICH2 software family (including MVAPICH2-X and MVAPICH2-GDR) for HPC and Deep Learning will be presented. Features and releases for Microsoft Azure and Amazon AWS will also be presented. Current status and future plans for OSU INAM, OMB, and Best Practices Page will also be presented.

DK Panda is a Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. He has published over 450 papers in the area of high-end computing and networking. The MVAPICH2 (High-Performance MPI and PGAS over InfiniBand, iWARP, and RoCE) libraries, designed and developed by his research group (, are currently being used by more than 3,000 organizations worldwide (in 89 countries). More than 555,000 downloads of this software have taken place from the project’s site. This software is empowering several InfiniBand clusters (including the 3rd, 5th, 8th, 12th, 15th, 16th and 19th ranked ones) in the TOP500 list. The RDMA packages for Apache Spark, Apache Hadoop and Memcached together with OSU HiBD benchmarks from his group ( are also publicly available. These libraries are currently being used by more than 315 organizations in 35 countries. More than 30,600 downloads of these libraries have taken place. He is an IEEE Fellow. 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.

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