Publications

Orient, George E.; Clay, Robert L.; Eckert, Aubrey C.; Friedman-Hill, Ernest J.; Hoffman, Edward L.; Mullins, Joshua; Lee, Yale L.; Pebay, Philippe P.; Verstraete, Didier &.

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Orient, George E.; Clay, Robert L.; Friedman-Hill, Ernest J.; Hoffman, Edward L.

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Orient, George E.; Friedman-Hill, Ernest J.; Glickman, Matthew R.; Olson, Kevin H.; Ridgway, Elliott M.

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Orient, George E.; Clay, Robert L.; Friedman-Hill, Ernest J.; Pebay, Philippe P.; Ridgway, Elliott M.

Credibility of end-to-end CompSim (Computational Simulation) models and their agile execution requires an expressive framework to describe, communicate and execute complex computational tool chains representing the model. All stakeholders from system engineering and customers through model developers and V&V partners need views and functionalities of the workflow representing the model in a manner that is natural to their discipline. In the milestone and in this report we define workflow as a network of computation simulation activities executed autonomously on a distributed set of computational platforms. The FY19 ASC L2 Milestone (6802) for the Integrated Workflow (IWF) project was designed to integrate and improve existing capabilities or develop new functionalities to provide a wide range of stakeholders a coherent and intuitive platform capable of defining and executing CompSim modeling from analysis workflow definition to complex ensemble calculations. The main goal of the milestone was to advance the integrated workflow capabilities to support the weapon system analysts with a production deployment in FY20. Ensemble calculations supporting program decisions include sensitivity analysis, optimization and uncertainty quantification. The goal of the L2 milestone aligned with the ultimate goal of the IWF project is to foster cultural and technical shift toward and integrated CompSim capability based on automated workflows. Specific deliverables were defined in five broad categories: 1) Infrastructure, including development of distributed-computing workflow capability, 2) integration of Dakota (Sandia's sensitivity, optimization and UQ engine) with SAW (Sandia Analysis Workbench), 3) ARG (Automatic Report Generator introspecting analysis artifacts and generating human-readable extensible and archivable reports), 4) Libraries and Repositories aiding capability reuse, and 5) Exemplars to support training, capturing best practices and stress testing of the platform. A set of exemplars was defined to represent typical weapon system qualification CompSim projects. Analyzing the required capabilities and using the findings to plan implementation of required capabilities ensured optimal allocation of development resources focused on production deployment after the L2 is completed. It was recognized early that the end-to-end modeling applications pose a considerable number of diverse risks, and a formal risk tracking process was implemented. The project leveraged products, capabilities and development tasks of IWF partners. SAW, Dakota, Cubit, Sierra, Slycat, and NGA (NexGen Analytics, a small business) contributed to the integrated platform developed during this milestone effort. New products delivered include: a) NGW (Next Generation Workflow) for robust workflow definition and execution, b) Dakota wizards, editor and results visualization, and c) the automatic report generator ARG. User engagement was initiated early in the development process eliciting concrete requirements and actionable feedback to assure that the integrated CompSim capability will have high user acceptance and impact. The current integrated capabilities have been demonstrated and are continually being tested by a set of exemplars ranging from training scenarios to computationally demanding uncertainty analyses. The integrated workflow platform has been deployed on both SRN (Sandia Restricted Network) and SCN (Sandia Classified Network). Computational platforms where the system has been demonstrated span from Windows (Creo the CAD platform chosen by Sandia) to Trinity HPC (Sierra and CTH solvers). Follow up work will focus on deployment at SNL and other sites in the nuclear enterprise (LLNL, KCNSC), training and consulting support to democratize the analysis agility, process health and knowledge management benefits the NGW platform provides. ACKNOWLEDGEMENTS The IWF team would like to acknowledge the consistent support from the ASC sponsors: Scott Hutchinson, Walt Witkowski, Ken Alvin, Tom Klitsner, Jeremy Templeton, Erik Strack, and Amanda Dodd. Without their support this integrated effort would not have been possible. We would also like to thank the milestone review panel for their insightful feedback and guidance throughout the year: Martin Heinstein, Patty Hough, Jay Dike, Dan Laney (LLNL), and Jay Billings (ORNL). And of course, without the hard work of the IWF team none of this would have happened.

Hoffman, Edward L.; Orient, George E.; Clay, Robert L.; Friedman-Hill, Ernest J.

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Friedman-Hill, Ernest J.

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Friedman-Hill, Ernest J.

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Friedman-Hill, Ernest J.; Clay, Robert L.

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Friedman-Hill, Ernest J.; Clay, Robert L.; Gibson, Marcus J.; Hoffman, Edward L.; Olson, Kevin H.

Simulation Data Management (SDM), the ability to securely organize, archive, and share analysis models and the artifacts used to create them, is a fundamental requirement for modern engineering analysis based on computational simulation. We have worked separately to provide secure, network SDM services to engineers and scientists at our respective laboratories for over a decade. We propose to leverage our experience and lessons learned to help develop and deploy a next-generation SDM service as part of a multi-laboratory team. This service will be portable across multiple sites and platforms, and will be accessible via a range of command-line tools and well-documented APIs. In this document, we’ll review our high-level and low-level requirements for such a system, review one existing system, and briefly discuss our proposed implementation.

Glickman, Matthew R.; Friedman-Hill, Ernest J.; Reza, Shahed R.; Sholander, Peter E.; Gurule, Rachelle T.

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Friedman-Hill, Ernest J.; Clay, Robert L.; Hoffman, Edward L.

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Friedman-Hill, Ernest J.; Clay, Robert L.; Friedman-Hill, Ernest J.

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Friedman-Hill, Ernest J.; Clay, Robert L.; Hoffman, Edward L.

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Friedman-Hill, Ernest J.

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Orient, George E.; Friedman-Hill, Ernest J.; Hoffman, Edward L.

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Hoffman, Edward L.; Clay, Robert L.; Friedman-Hill, Ernest J.; Orient, George E.

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Olson, Kevin H.; Friedman-Hill, Ernest J.; Gibson, Marcus J.; Greenfield, John A.; Clay, Robert L.; Hoffman, Edward L.

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Clay, Robert L.; Hoffman, Edward L.; Orient, George E.; Friedman-Hill, Ernest J.

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Clay, Robert L.; Friedman-Hill, Ernest J.; Hoffman, Edward L.; Gibson, Marcus J.; Olson, Kevin H.

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Hoffman, Edward L.; Friedman-Hill, Ernest J.; Gibson, Marcus J.; Orient, George E.; Adams, Brian M.; Olson, Kevin H.

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Olson, Kevin H.; Friedman-Hill, Ernest J.; Gibson, Marcus J.; Hoffman, Edward L.; Greenfield, John A.; Clay, Robert L.

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Hoffman, Edward L.; Friedman-Hill, Ernest J.; Gibson, Marcus J.; Clay, Robert L.

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Friedman-Hill, Ernest J.; Clay, Robert L.; Gibson, Marcus J.; Hoffman, Edward L.; Olson, Kevin H.

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Friedman-Hill, Ernest J.; Hoffman, Edward L.; Gibson, Marcus J.; Clay, Robert L.; Olson, Kevin H.

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Friedman-Hill, Ernest J.; Hoffman, Edward L.; Gibson, Marcus J.; Clay, Robert L.

Sensitivity analysis is a crucial element of rigorous engineering analysis, but performing such an analysis on a complex model is difficult and time consuming. The mission of the DART Workbench team at Sandia National Laboratories is to lower the barriers to adoption of advanced analysis tools through software integration. The integrated environment guides the engineer in the use of these integrated tools and greatly reduces the cycle time for engineering analysis.