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Title: Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II)

Conference ·
OSTI ID:1823332
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  1. University of Houston, Texas
  2. Iowa State University
  3. NVIDIA, Santa Clara, CA
  4. Lawrence Berkeley National Laboratory (LBNL)
  5. Argonne National Laboratory (ANL), Argonne Leadership Computing Facility (ALCF)
  6. ORNL
  7. Argonne National Laboratory (ANL)
  8. Georgia Institute of Technology
  9. Brookhaven National Laboratory (BNL)
  10. Joint Institute for Computational Sciences (JICS)
  11. Georgia Tech
  12. Laurence Berkeley National Laboratory
+ Show Author Affiliations

This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC applications and mini-apps based on different computational motifs (BerkeleyGW, WDMApp/XGC, GAMESS, GESTS, and GridMini) to accelerator-based, leadership-class, high-performance supercomputer systems at the Department of Energy. As recent enhancements to OpenMP become available in implementations, there is a need to share the results of experimentation with them in order to better understand their behavior in practice, to identify pitfalls, and to learn how they can be effectively deployed in scientific codes. Additionally, we identify best practices from these experiences that we can share with the rest of the OpenMP community.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1823332
Resource Relation:
Conference: IWOMP 2021: International Workshop on OpenMP - Bristol, , United Kingdom - 9/14/2021 12:00:00 PM-9/16/2021 12:00:00 PM
Country of Publication:
United States
Language:
English

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