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Title: Using Kokkos for Performance Portability of the Tpetra Sparse Linear Algebra Library on Intel KNL and NVIDIA GPUs.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1424550
Report Number(s):
SAND2017-2089C
651128
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the SIAM Conference on Computational Science and Engineering held February 27 - March 3, 2017 in Atlanta, GA.
Country of Publication:
United States
Language:
English

Citation Formats

Hoemmen, Mark Frederick. Using Kokkos for Performance Portability of the Tpetra Sparse Linear Algebra Library on Intel KNL and NVIDIA GPUs.. United States: N. p., 2017. Web.
Hoemmen, Mark Frederick. Using Kokkos for Performance Portability of the Tpetra Sparse Linear Algebra Library on Intel KNL and NVIDIA GPUs.. United States.
Hoemmen, Mark Frederick. 2017. "Using Kokkos for Performance Portability of the Tpetra Sparse Linear Algebra Library on Intel KNL and NVIDIA GPUs.". United States. https://www.osti.gov/servlets/purl/1424550.
@article{osti_1424550,
title = {Using Kokkos for Performance Portability of the Tpetra Sparse Linear Algebra Library on Intel KNL and NVIDIA GPUs.},
author = {Hoemmen, Mark Frederick},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1424550}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {2}
}

Conference:
Other availability
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