A co-design study of fusion whole device modeling using code coupling

  • Jong Youl Choi
  • , Matthew Wolf
  • , Scott Klasky
  • , Jeremy Logan
  • , Kshitij Mehta
  • , Eric Suchyta
  • , William Godoy
  • , Nick Thompson
  • , Lipeng Wan
  • , Jieyang Chen
  • , Norbert Podhorszki
  • , Julien Dominski
  • , Choong Seock Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Complex workflows consisting of multiple simulation and analysis codes running concurrently through in-memory coupling is becoming popular due to inherent advantages in online management of large-scale data, resilience, and the code development process. However, orchestrating such a multi-application workflow to efficiently utilize resources on a heterogeneous architecture is challenging. In this paper, we present our results with running the Fusion Whole Device Modeling benchmark workflow on Summit, a pre-exascale supercomputer at Oak Ridge National Laboratory. We explore various resource distribution and process placement mechanisms, including sharing compute nodes between processes from separate applications. We show that fine-grained process placement can have a significant impact towards efficient utilization of the compute power of a node on Summit, and conclude that sophisticated tools for performing co-design studies of multi-application workflows can play an important role towards efficient orchestration of such workflows.

Original languageEnglish (US)
Title of host publicationProceedings of DRBSD-5 2019
Subtitle of host publication5th International Workshop on Data Analysis and Reduction for Big Scientific Data - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-41
Number of pages7
ISBN (Electronic)9781728160177
DOIs
StatePublished - Nov 2019
Event5th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-5 2019 - Denver, United States
Duration: Nov 17 2019 → …

Publication series

NameProceedings of DRBSD-5 2019: 5th International Workshop on Data Analysis and Reduction for Big Scientific Data - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference5th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-5 2019
Country/TerritoryUnited States
CityDenver
Period11/17/19 → …

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management
  • Statistics, Probability and Uncertainty

Keywords

  • Co-design
  • Coupling
  • Fusion
  • Summit
  • Whole device model
  • Workflow

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