Parallel Programming with OpenMP - Part 1

5 HPC Summer School Official Website

Tutorial Notebooks

Speaker: Jose Monsalve, PhD (Argonne National Laboratory)

Abstract: OpenMP is one of the most widely used programming frameworks to accelerate the execution of applications by taking advantage of the multiple processors and GPUs available on today's computers. In this tutorial, the participants will be able to familiarize themselves with concepts of parallel programming for GPUs which are pervasively used nowadays in many real-world applications.

Bio: Jose M Monsalve Diaz is a postdoctoral appointee in Argonne National Laboratory working on exploring innovative ideas on future computer architectures. He obtained his PhD in Electrical and Computer Engineering from the University of Delaware in 2021. His work defined the Sequential Codelet Model, a program execution model for future parallel, heterogeneous and distributed computers based on principles of Dataflow models of computation. Jose M. Monsalve Diaz obtained his Masters in Electrical and Computer Engineering from the University of Delaware in 2020, and his bachelor’s degree in Electronics Engineering from the Pontificia Universidad Javeriana in 2013. Throughout the years he has worked as a research assistant of the CAPSL research group for Prof Guang. R. Gao, and the CRPL research group for Prof. Sunita Chandrasekaran. His areas of interest are parallel computer architecture design, parallel computer systems and parallel programming models. He has worked on validation and verification of OpenMP target offloading, as well as with OpenACC programming targeting CPU and heterogeneous systems based on GPGPUs. Other projects also involved unconventional Data-flow based programming models and computer architectures.