Experiences readying applications for Exascale-Reference-Cited by-同舟云学术

Experiences readying applications for Exascale

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
Short-container-title:

Author:

Malaya Nicholas¹^ORCID,Messer Bronson²^ORCID,Glenski Joseph³^ORCID,Georgiadou Antigoni²^ORCID,Lietz Justin²^ORCID,Gottiparthi Kalyana²^ORCID,Day Marc⁴^ORCID,Chen Jackie⁵^ORCID,Rood Jon⁴^ORCID,Esclapez Lucas⁴^ORCID,White III James⁶^ORCID,Jansen Gustav R.²^ORCID,Curtis Nicholas⁷^ORCID,Nichols Stephen²^ORCID,Kurzak Jakub⁸^ORCID,Chalmers Noel⁷^ORCID,Freitag Chip⁷^ORCID,Bauman Paul⁷^ORCID,Fanfarillo Alessandro⁷^ORCID,Budiardja Reuben D.²^ORCID,Papatheodore Thomas²^ORCID,Frontiere Nicholas⁹^ORCID,Mcdougall Damon⁷^ORCID,Norman Matthew²^ORCID,Sreepathi Sarat²^ORCID,Roth Philip²^ORCID,Bykov Dmytro²^ORCID,Wolfe Noah⁷^ORCID,Mullowney Paul⁷^ORCID,Eisenbach Markus²^ORCID,Henry De Frahan Marc T.⁴^ORCID,Joubert Wayne²^ORCID

Affiliation:

1. Advanced Micro Devices (AMD) Inc, Austin, United States of America

2. Oak Ridge National Laboratory, Oak Ridge, United States of America

3. Hewlett Packard Enterprise, Bloomington, United States of America

4. National Renewable Energy Laboratory, Golden, United States of America

5. Sandia National Laboratories, Livermore, United States of America

6. Hewlett Packard Enterprise, San Diego, United States of America

7. AMD, Austin, United States of America

8. AMD, Oak Ridge, United States of America

9. Argonne National Laboratory, Lemont, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581784.3607065

Reference54 articles.

1. Progressive Optimization of Batched LU Factorization on GPUs

2. Inc. Advanced Micro Devices . 2016 . Hip : c++ heterogeneous-compute interface for portability. https://www.olcf.ornl.gov/calendar/intro-to-amd-gpu-programming-with-hip/. Inc. Advanced Micro Devices. 2016. Hip: c++ heterogeneous-compute interface for portability. https://www.olcf.ornl.gov/calendar/intro-to-amd-gpu-programming-with-hip/.

3. GridTools: A framework for portable weather and climate applications

4. Parallel reactive molecular dynamics: Numerical methods and algorithmic techniques

5. Nyx: A MASSIVELY PARALLEL AMR CODE FOR COMPUTATIONAL COSMOLOGY