Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications .
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- Kachina Sponsor
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1887725
- Report Number(s):
- SAND2021-11467C; 699430
- Resource Relation:
- Conference: Proposed for presentation at the 2021 IEEE High Performance Extreme Computing Virtual Conference held September 20-24, 2021 in ONLINE, ONLINE.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications.
Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation
Performance Portable Sparse Matrix Matrix Multiplication with Applications in Scientific Computing and Graph Analytics.
Conference
·
2021
·
OSTI ID:1884686
+1 more
Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation
Conference
·
2019
·
OSTI ID:1493976
Performance Portable Sparse Matrix Matrix Multiplication with Applications in Scientific Computing and Graph Analytics.
Conference
·
2017
·
OSTI ID:1466104
+3 more