Dhabaleswar K (DK) Panda
DK Panda is a Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. He has published over 500 papers. The MVAPICH2 MPI libraries, designed and developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 3,275 organizations worldwide (in 90 countries). More than 1.62M 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 Deep Learning frameworks and Machine Learning applications are available from https://hidl.cse.ohio-state.edu. Prof. Panda is an IEEE Fellow and recipient of the 2022 IEEE Charles Babbage Award. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/~panda.
Sessions
This talk will focus on challenges and opportunities in designing middleware for HPC, AI (Deep/Machine Learning), and Data Science. For HPC, features and sample performance numbers of using the MVAPICH2 and MVAPICH2-GDR libraries on OpenPOWER platforms will be presented. For the AI (Deep/Machine Learning) domain, we will focus on MPI-driven solutions to extract performance and scalability for popular Deep Learning frameworks (TensorFlow and PyTorch) and large out-of-core models. MPI-driven solutions to accelerate data science applications like Dask will be highlighted.