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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. Wed . "Using Kokkos for Performance Portability of the Tpetra Sparse Linear Algebra Library on Intel KNL and NVIDIA GPUs.". United States. doi:. 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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 01 00:00:00 EST 2017},
month = {Wed Feb 01 00:00:00 EST 2017}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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