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Title: FY 18 Status Report on the Computing Systems for the Yucca Mountain Project TSPA-LA Models and Inventory of Software used for Process Models.

Abstract

Sandia National Laboratories (SNL) continued evaluation of total system performance assessment (TSPA) computing systems for the previously considered Yucca Mountain Project (YMP). This was done to maintain the operational readiness of the computing infrastructure (computer hardware and software) and knowledge capability for total system performance assessment (TSPA) type analysis, as directed by the National Nuclear Security Administration (NNSA), DOE 2010. This work is a continuation of the ongoing readiness evaluation reported in Lee and Hadgu (2014), Hadgu et al. (2015) and Hadgu and Appel (2016), and Hadgu et al. (2017). The TSPA computing hardware (2014 server cluster -CL2014) and storage system described in Hadgu et al. (2015) were used for the current analysis. One floating license of Gold Sim with Versions 9.60.300, 10.5, 11.1 and 12.0 was installed on the cluster head node, and its distributed processing capability was mapped on the cluster processors. Other supporting software were tested and installed to support the TSPA-type analysis on the server cluster. The FY18 task included developing an inventory of software used for the Yucca Mountain Project process models and preliminary assessment of status of the software; enhancing security of the cluster and setting a backup system. The 2014 server cluster andmore » supporting software systems are fully operational to support TSPA-LA type analysis. 3 ACKNOWLEDGEMENTS The authors would like to express their gratitude to Tito Bonano (8840) and Kevin McMahon (8842) for their technical interest and programmatic support. The authors would also like to thank David Sassani (8842) for technical review of the report. 4« less

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE), Fuel Cycle Technologies (NE-5)
OSTI Identifier:
1489540
Report Number(s):
SAND2018-14317
671065
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Hadgu, Teklu, Reynolds, Brandon Keith, Appel, Gordon John, and Garland, Jason P. FY 18 Status Report on the Computing Systems for the Yucca Mountain Project TSPA-LA Models and Inventory of Software used for Process Models.. United States: N. p., 2018. Web. doi:10.2172/1489540.
Hadgu, Teklu, Reynolds, Brandon Keith, Appel, Gordon John, & Garland, Jason P. FY 18 Status Report on the Computing Systems for the Yucca Mountain Project TSPA-LA Models and Inventory of Software used for Process Models.. United States. doi:10.2172/1489540.
Hadgu, Teklu, Reynolds, Brandon Keith, Appel, Gordon John, and Garland, Jason P. Sat . "FY 18 Status Report on the Computing Systems for the Yucca Mountain Project TSPA-LA Models and Inventory of Software used for Process Models.". United States. doi:10.2172/1489540. https://www.osti.gov/servlets/purl/1489540.
@article{osti_1489540,
title = {FY 18 Status Report on the Computing Systems for the Yucca Mountain Project TSPA-LA Models and Inventory of Software used for Process Models.},
author = {Hadgu, Teklu and Reynolds, Brandon Keith and Appel, Gordon John and Garland, Jason P.},
abstractNote = {Sandia National Laboratories (SNL) continued evaluation of total system performance assessment (TSPA) computing systems for the previously considered Yucca Mountain Project (YMP). This was done to maintain the operational readiness of the computing infrastructure (computer hardware and software) and knowledge capability for total system performance assessment (TSPA) type analysis, as directed by the National Nuclear Security Administration (NNSA), DOE 2010. This work is a continuation of the ongoing readiness evaluation reported in Lee and Hadgu (2014), Hadgu et al. (2015) and Hadgu and Appel (2016), and Hadgu et al. (2017). The TSPA computing hardware (2014 server cluster -CL2014) and storage system described in Hadgu et al. (2015) were used for the current analysis. One floating license of Gold Sim with Versions 9.60.300, 10.5, 11.1 and 12.0 was installed on the cluster head node, and its distributed processing capability was mapped on the cluster processors. Other supporting software were tested and installed to support the TSPA-type analysis on the server cluster. The FY18 task included developing an inventory of software used for the Yucca Mountain Project process models and preliminary assessment of status of the software; enhancing security of the cluster and setting a backup system. The 2014 server cluster and supporting software systems are fully operational to support TSPA-LA type analysis. 3 ACKNOWLEDGEMENTS The authors would like to express their gratitude to Tito Bonano (8840) and Kevin McMahon (8842) for their technical interest and programmatic support. The authors would also like to thank David Sassani (8842) for technical review of the report. 4},
doi = {10.2172/1489540},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {12}
}