Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures.
Conference
·
OSTI ID:1462627
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1462627
- Report Number(s):
- SAND2017-7812PE; 655608
- Resource Relation:
- Conference: Proposed for presentation at the Advanced Supercomputing Environment Seminat University of Tokuyo held August 1, 2017 in Tokyo, Japan.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures.
Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures.
Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures.
Conference
·
2017
·
OSTI ID:1458407
+1 more
Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures.
Conference
·
2021
·
OSTI ID:1884665
+1 more
Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures.
Conference
·
2021
·
OSTI ID:1888390
+1 more