skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Toward Local Failure Local Recovery (LFLR) Resilience Model Using MPI-ULFM.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1241722
Report Number(s):
SAND2014-18249PE
537867
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Resilience in Exascale Computing -- Dagstuhl Seminar 14402 held September 28 - October 1, 2014 in Dagstuhl , Germany.
Country of Publication:
United States
Language:
English

Citation Formats

Teranishi, Keita, and Heroux, Michael Allen. Toward Local Failure Local Recovery (LFLR) Resilience Model Using MPI-ULFM.. United States: N. p., 2014. Web.
Teranishi, Keita, & Heroux, Michael Allen. Toward Local Failure Local Recovery (LFLR) Resilience Model Using MPI-ULFM.. United States.
Teranishi, Keita, and Heroux, Michael Allen. Mon . "Toward Local Failure Local Recovery (LFLR) Resilience Model Using MPI-ULFM.". United States. doi:. https://www.osti.gov/servlets/purl/1241722.
@article{osti_1241722,
title = {Toward Local Failure Local Recovery (LFLR) Resilience Model Using MPI-ULFM.},
author = {Teranishi, Keita and Heroux, Michael Allen},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 01 00:00:00 EDT 2014},
month = {Mon Sep 01 00:00:00 EDT 2014}
}

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.

Save / Share: