Presenter
Dhabaleswar K. Panda

Biography
DK Panda is a Professor and University Distinguished Scholar of
Computer Science and Engineering at the Ohio State University. He is serving as the Director of the ICICLE NSF-AI Institute (https://icicle.ai). He has published over 500 papers. The MVAPICH MPI libraries, designed and developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 3,400 organizations worldwide (in 92 countries). More than 1.8 million downloads of this software have taken place from the project's site. This software is empowering many clusters in the TOP500 list. High-performance and scalable solutions for DL/ML frameworks from his group are available from https://hidl.cse.ohio-state.edu. Similarly, scalable and high-performance solutions for Big Data and Data science frameworks are available from https://hibd.cse.ohio-state.edu. Prof. Panda is an IEEE Fellow and recipient of the 2022 IEEE Charles Babbage and 2024 TCPP Outstanding Service and Contribution Awards. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/~panda.
Computer Science and Engineering at the Ohio State University. He is serving as the Director of the ICICLE NSF-AI Institute (https://icicle.ai). He has published over 500 papers. The MVAPICH MPI libraries, designed and developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 3,400 organizations worldwide (in 92 countries). More than 1.8 million downloads of this software have taken place from the project's site. This software is empowering many clusters in the TOP500 list. High-performance and scalable solutions for DL/ML frameworks from his group are available from https://hidl.cse.ohio-state.edu. Similarly, scalable and high-performance solutions for Big Data and Data science frameworks are available from https://hibd.cse.ohio-state.edu. Prof. Panda is an IEEE Fellow and recipient of the 2022 IEEE Charles Babbage and 2024 TCPP Outstanding Service and Contribution Awards. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/~panda.
Presentations
Tutorial
Artificial Intelligence/Machine Learning
Network
TUT
Tutorial
Parallel Programming Methods, Models, Languages and Environments
TUT
Tutorial
Emerging Technologies
Scalable Data Mining
TUT
Committee Roles
Performance Measurement, Modeling, & Tools Member