Ron A. Oldfield
YOU?
Author Swipe
Assessment of Data-Management Infrastructure Needs for Production Use of Advanced Machine Learning and Artificial Intelligence: Tri-Lab Level II Milestone (8554) Open
A robust data-management infrastructure is a key enabler for National Security Enterprise (NSE) capabilities in artificial intelligence and machine learning. This document describes efforts from a team of researchers at Sandia National Lab…
View article: Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops
Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops Open
This is a report about a series of workshops sponsored by the Department of Energy (DOE) to gather input on new and rapidly emerging opportunities and challenges of scientific AI. The members of the workshops believes that AI can have a fo…
Memo regarding the Final Review of FY21 ASC L2 Milestone 7840: Neural Mini-Apps for Future Heterogeneous HPC Systems Open
The final review for the FY21 Advanced Simulation and Computing (ASC) Computational Systems and Software Environments (CSSE) L2 Milestone #7840 was conducted on August 25th, 2021 at Sandia National Laboratories in Albuquerque, New Mexico. …
SNL ATDM Software Technologies. ECP Capability Assessment Report for Software Technologies Open
The Exascale Computing Project (ECP) Capability Assessment Report for Software Technologies at Sandia National Laboratories is provided. The projects are now aggregated to include Kokkos, Kokkos Kernels, VTK-m Operating Systems, and On-Nod…
Data Services for Visualization and Analysis - ASC Level II Milestone (7186) Open
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…
View article: Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources Open
In January 2019, the US Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions (PRDs) for in situ data management (ISDM). A fundamental findin…
Trilinos I/O Support (Trios) Open
Trilinos I/O Support (Trios) is a new capability area in Trilinos that serves two important roles: (1) it provides and supports I/O libraries used by in-production scientific codes; (2) it provides a research vehicle for the evaluation and…
View article: ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources [Brochure]
ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources [Brochure] Open
In January 2019, the U.S. Department of Energy (DOE), Office of Science (SC) program in Advanced Scientific Computing Research (ASCR) convened a workshop to identify priority research directions (PRDs) for In Situ Data Management (ISDM). T…
View article: ASCR Workshop on In Situ Data Management
ASCR Workshop on In Situ Data Management Open
In January 2019, the U.S. Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions for in situ data management (ISDM). The workshop defined ISDM…
View article: ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources
ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources Open
In January 2019, the U.S. Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions for in situ data management (ISDM). The workshop defined ISDM…
SNL ATDM Data and Visualization: IOSS and FAODEL Open
The SNL ATDM Data and Visualization project is developing data management software to improve how applications store and exchange large datasets efficiently on Exascale platforms. The data portion of this project is composed of two related…
Final Review of FY17 ASC CSSE L2 Milestone #6018 entitled "Analyzing Power Usage Characteristics of Workloads Running on Trinity". Open
The presentation documented the technical approach of the team and summary of the results with sufficient detail to demonstrate both the value and the completion of the milestone. A separate SAND report was also generated with more detail …