skip to main content

Explore Research Products in the NSF-PAR

  • Home
  • Search Results
  • Page 1 of 2

Search for: All records

Award ID contains: 1927880

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ; ; ; ( , PEARC '23: Practice and Experience in Advanced Research Computing)
    Free, publicly-accessible full text available July 23, 2024
  2. ; ; ; ; ; ; ( , PEARC '23: Practice and Experience in Advanced Research Computing)
    Free, publicly-accessible full text available July 23, 2024
  3. ; ; ; ( , HPC Asia '23 Workshops: Proceedings of the HPC Asia 2023 Workshops)
    Full Text Available 
  4. ; ; ; ; ( , PEARC '22: Practice and Experience in Advanced Research Computing)
    Full Text Available 
  5. ( , OpenSHMEM 2021: OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks)
    Full Text Available 
  6. ; ; ; ; ; ( , HPCAsia 2022 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops)
    Full Text Available 
  7. ; ; ; ( , 2021 IEEE/ACM Ninth Workshop on Education for High Performance Computing (EduHPC))
    Full Text Available 
  8. ( , IWOMP 2021: OpenMP: Enabling Massive Node-Level Parallelism)
    Full Text Available 
  9. ; ; ; ; ; ; ( , 2021 IEEE International Conference on Cluster Computing (CLUSTER))
    Full Text Available 
  10. ; ; ; ; ; ( , PEARC '21: Practice and Experience in Advanced Research Computing)
    null (Ed.)
    The development of the A64FX processor by Fujitsu has been a massive innovation in vectorized processors and led to Fugaku: the current world’s fastest supercomputer. We use a variety of tools to analyze the behavior and performance of several OpenMP applications with different compilers, and how these applications scale on the different A64FX processors on clusters at Stony Brook University and RIKEN. 
    more » « less
    Full Text Available