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Title: Advanced Simulation and Computing FY18 Implementation Plan, Rev. 0

Abstract

The ASC Program continues to improve its unique tools to solve stockpile problems— with a focus on sufficient resolution, dimensionality, and scientific detail—to enable Quantification of Margins and Uncertainties (QMU) and to resolve the increasingly difficult analyses needed for stockpile stewardship. The needs of the Directed Stockpile Work (DSW) and major modernization programs also drive the requirements for simulation and computational resources. These requirements include planned LEPs, stockpile support activities, and mitigation efforts against the potential for technical surprise. All of the weapons within the current stockpile are in some stage of the life extension process. The simulation and computational capabilities are crucial for successful execution of these lifetime extensions and for ensuring NNSA can certify these life-extended weapons without conducting a UGT. Specific work activities and scope contained in this Implementation Plan (IP) represent the full-year annual operating plan for FY18. The Initial IP effective October 1, 2017, should be consistent with: 1) the Department’s Base Table when operating under a Continuing Resolution (CR); and 2) the final signed appropriation or full-year CR once enacted.

Authors:
 [1];  [1];  [2];  [3];  [4]
  1. Dept. of Energy (DOE), Washington DC (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1480418
Report Number(s):
LLNL-TR-738237
890785
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Anderson, Mark, Hoang, Thuc, McCoy, Michel, Archer, Bill, and Collis, Scott. Advanced Simulation and Computing FY18 Implementation Plan, Rev. 0. United States: N. p., 2017. Web. doi:10.2172/1480418.
Anderson, Mark, Hoang, Thuc, McCoy, Michel, Archer, Bill, & Collis, Scott. Advanced Simulation and Computing FY18 Implementation Plan, Rev. 0. United States. doi:10.2172/1480418.
Anderson, Mark, Hoang, Thuc, McCoy, Michel, Archer, Bill, and Collis, Scott. Mon . "Advanced Simulation and Computing FY18 Implementation Plan, Rev. 0". United States. doi:10.2172/1480418. https://www.osti.gov/servlets/purl/1480418.
@article{osti_1480418,
title = {Advanced Simulation and Computing FY18 Implementation Plan, Rev. 0},
author = {Anderson, Mark and Hoang, Thuc and McCoy, Michel and Archer, Bill and Collis, Scott},
abstractNote = {The ASC Program continues to improve its unique tools to solve stockpile problems— with a focus on sufficient resolution, dimensionality, and scientific detail—to enable Quantification of Margins and Uncertainties (QMU) and to resolve the increasingly difficult analyses needed for stockpile stewardship. The needs of the Directed Stockpile Work (DSW) and major modernization programs also drive the requirements for simulation and computational resources. These requirements include planned LEPs, stockpile support activities, and mitigation efforts against the potential for technical surprise. All of the weapons within the current stockpile are in some stage of the life extension process. The simulation and computational capabilities are crucial for successful execution of these lifetime extensions and for ensuring NNSA can certify these life-extended weapons without conducting a UGT. Specific work activities and scope contained in this Implementation Plan (IP) represent the full-year annual operating plan for FY18. The Initial IP effective October 1, 2017, should be consistent with: 1) the Department’s Base Table when operating under a Continuing Resolution (CR); and 2) the final signed appropriation or full-year CR once enacted.},
doi = {10.2172/1480418},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {8}
}