Data Services for Visualization and Analysis - ASC Level II Milestone (7186)

Technical Report · Sat Aug 01 00:00:00 EDT 2020

DOI:https://doi.org/10.2172/1663267· OSTI ID:1663267

Templet, Jr., Gary J. ^[1]; Glickman, Matthew R. ^[1]; Kordenbrock, Todd Henry ^[1]; Levy, Scott Larson Nicoll ^[1]; Lofstead, Gerald Fredrick ^[1]; Mauldin, Jeff ^[1]; Otahal, Thomas Jay ^[1]; Ulmer, Craig D. ^[1]; Widener, Patrick ^[1]; Oldfield, Ron A. ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

A new in transit Data Service is presented and compared to the traditional file-based workflow and the newly refactored in situ Catalyst workflow. Each workflow is enabled by the IOSS mesh interface equipped with data management layers for Exodus and CGNS (file-based), Catalyst (in situ), and FAODEL (in transit). FAODEL is a distributed object store that can transmit data across MPI allocations. Catalyst is a Para View-based visualization capability developed as part of the CSSE Data Services effort. The workflows considered here take SPARC data into Catalyst for visualization post-processing. Although still in unoptimized form, we show that the in transit approach is a viable alternative to file-based and in situ workflows and offers several advantages to both simulation and post-processing developers. Since IOSS is a mature interface with wide adoption across Sandia and externally, each workflow can be reconfigured to use different simulations that generate mesh data and post-processing tools that consume it.

• Research Organization: Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories, Albuquerque, NM
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1663267
• Report Number(s): SAND--2020-9451; 690648
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING