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

Conference · Wed Sep 01 04:00:00 EDT 2021

OSTI ID:1823332

Chapman, Barbara ^[1]; Pham, Buu ^[2]; Yang, Charlene ^[3]; Daley, Christopher ^[4]; Bertoni, Colleen ^[5]; Kulkarni, Dhruva ^[6]; Oryspayev, Dossay ^[6]; D'azevedo, Ed ^[6]; Doerfert, Johannes ^[7]; Zhou, Keren ^[6]; Ravikumar, Kiran ^[8]; Gordon, Mark ^[2]; Del mauro, Ben ^[4]; Lin, Meifeng ^[9]; Alkan, Melisa ^[6]; Kruse, Michael ^[6]; Hernandez, Oscar R. ^[10]; Yeung, P K. ^[11]; Lin, Paul ^[12]; Peng, Xu ^[2] ; Pophale, Swaroop ^[6]; Sattasathuchana, Tosaporn ^[2]; Kale, Vivek ^[9]; Huhn, William ^[7]; He, Yun (Helen) ^[4]

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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

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 Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1823332
• Country of Publication: United States
• Language: English