July 9, 2021 — Episode 82 of the Let’s Talk Exascale podcast explores the efforts of the Department of Energy’s (DOE) Exascale Computing Project (ECP)—from the development challenges and achievements to the ultimate expected impact of exascale computing on society.
And this is the third in a series of episodes based on work aimed at sharing best practices in preparing applications for the upcoming Aurora exascale supercomputer at the Argonne Leadership Computing Facility.
The series is highlighting achievements in optimizing code to run on GPUs. We are also providing developers with lessons learned to help them overcome any initial hurdles.
This episode focuses on the computer codes used in the ECP project called WDMapp, or Whole Device Model application. The objective of the project is to develop a high-fidelity model of magnetically confined fusion plasmas. The modeling is urgently needed to plan experiments on ITER—the International Tokamak Experimental Reactor—and on future fusion devices.
Joining us are subject-matter experts Tim Williams of Argonne National Laboratory, Aaron Scheinberg of Jubilee Development, Kai Germaschewski of the University of New Hampshire, and Bryce Allen of Argonne National Laboratory and the University of Chicago.
Our topics:
the goals of WDMapp and how its supporting coupled computer codes fit in, insights about the research the codes are used for, preparing the codes for exascale and how the WDMapp project applications will benefit from exascale, preparing for the Aurora machine, best practices, advice for researchers in getting codes ready for GPU-accelerated exascale systems, and more.
Click here to listen to the podcast and for the full interview transcript.
Source: ECP