MPI Meets Python - How to Use MPI in the Python Universe
Thunder Talk
The Message Passing Interface (MPI) is a programming paradigm used in Parallel applications to allow for communication amongst processes. In order to process large amounts of data and efficiently deal with complex operations, the Message Passing Interface (MPI) provides primitives optimized specifically to handle such cases. The increasing need for applying parallelism to applications with growing complexity, is handled through the use of MPI to scale across machines and to efficiently utilize all available resources.
In this talk, we will detail various MPI primitives and delve into their use cases that are applicable for modern-day high performance computing needs. We will explore the MPI layer in the realm of Python and define available means to utilize MPI with python.
Presented by
Kawthar Shafie Khorassani
I am a PhD student at The Ohio State University working on the MVAPICH2-GDR project in Dr. Panda's Network-Based Computing Lab. Prior to attending OSU, I completed a dual degree in Math and Computer Science at Wayne State University in Detroit, MI.
,Arpan Jain
Arpan Jain received his B.Tech. and M.Tech. degrees in Information Technology from ABV-IIITM, India. Currently, Arpan is working towards his Ph.D. degree in Computer Science and Engineering at The Ohio State University. His current research focus lies at the intersection of High-Performance Computing (HPC) libraries and Deep Learning (DL) frameworks. He is working on parallelization and distribution strategies large-scale Deep Neural Network (DNN) training. He previously worked on speech analysis, time series modeling, hyperparameter optimization, and object recognition. He actively contributes to projects like HiDL (high-performance deep learning) and MVAPICH2-GDR software.