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Robert John Baraldi
Staff Page • Optimization & Uncertainty Quantification. Biography Bobby's research interests include: algorithms for nonsmooth and nonconvex optimization, trust region algorithms, proximal algorithms, and PDE-constrained optimization. Bobby is also contributes to Rapid Optimization Library (ROL) and RegularizedOptimization package in Julia. Education Bobby earned his B.S. in Mathematics from North Carolina State University in...

Roger P. Pawlowski
Staff Page • Computational Science. Biography Principal Member of the Technical Staff in the Computational Science Department at Sandia National Laboratories. Research interests include: High performance computing and parallel algorithm development Numerical methods for multiple-time-scale nonlinear coupled PDEs Temporal and spatial discretizations of PDEs Physics applications including computational fluid dynamics, chemically reacting flows,...

Ron A. Oldfield
Staff Page • Scientific Machine Learning. Biography I am the manager for the Scientific Machine Learning department in the Center for Computing Research at Sandia National Laboratories. I joined Sandia National Laboratories in 1992 as a student intern from the University of New Mexico. After receiving my B.S. from UNM in 1993, I...

Ron Brightwell
Staff Page • Scalable System Software. Activities Program Committee, 2024 IEEE Symposium on High Performance Interconnects (HotI'25)Organizing Committee, 2025 Workshop on Memory System, Management and Optimization (MEMO'24) at SC'24Vice Chair for Programming Models and System Software, 2025 Supercomputing Asia conference (SCA'25) Bio I received my BS in mathematics in 1991 and my MS...

Roscoe Bartlett
Staff Page • Software Engineering & Research. Biography Roscoe's professional interests are: Agile Software Engineering and Integration Processes for Computational Science and Engineering (CSE)Software Engineering for Large-Scale NumericsAgile build and testing of CSE software Education Carnegie Mellon University, Pittsburgh PA. Ph.D. in Chemical Engineering, 2001 University of Maryland Baltimore County. B.S. Chemical Engineering,...

Ryan Dellana
Staff Page • Postdoc. Biography Dr. Ryan Dellana is a Postdoc in the department of Cognitive and Emerging Computing (1421). His primary interest is in developing Cognitive Architectures for robots. He is the creator and maintainer of the Cognitive Architecture Working Group (wg-CAWG), connecting people across all of SNL who share this interest....

Ryan Grant Wins Best Paper Award at IEEE Cluster Conference
News Article, September 1, 2015 •  The Best Paper Award at the 2015 IEEE International Conference on Cluster Computing was given to a paper entitled “Optimizing Explicit Hydrodynamics for Power, Energy, and Performance” co-authored by Ryan Grant and colleagues from Lawrence Livermore National Laboratory. The paper was selected from 38 regular papers presented at the conference....
Ryan Grant

Sandia and Kitware Partner to Improve Performance of Volume Rendering for HPC Applications
News Article, November 1, 2020 • In collaboration with researchers at Sandia, Kitware developers have made significant performance improvements to volume rendering for large-scale applications. First, Kitware significantly improved unstructured-grid volume rendering.  In a volume-rendering example for turbulent flow with 100 million cells on 320 ranks on a Sandia cluster, the volume rendered in 8 seconds...
The image shows an unstructured volume-rendered Q-criterion field for a Reynolds # ~10,000 turbulent impinging jet. The performance improvements enabled rendering (for the first time) of the full unstructured dataset (nearly 2 billion Hexahedral elements). The rendering of this image was supported by the ASC LSCI portfolio.

Sandia Covid-19 Medical Resource Modeling
News Article, May 1, 2020 • As part of the Department of Energy response to the novel coronavirus pandemic of 2020, Sandia personnel developed a model to predict medical resources needed, including medical practitioners (e.g. ICU nurses, physicians, respiratory therapists), fixed resources (regular or ICU beds and ventilators), and consumable resources (masks, gowns, gloves, etc.) Researchers...
Figure 1. Resource needs over time with a range of uncertainty

Sandia Joins the Linaro HPC Special Interest Group
News Article, August 1, 2018 • Sandia National Laboratories has joined Linaro’s High Performance Compute (HPC) Special Interest Group as an advanced end user of mission-critical HPC systems.  Linaro Ltd, is the open source collaborative engineering organization developing software for the Arm ecosystem. Sandia recently announced Astra, one of the first supercomputers to use processors based...
Linaro Logo

Sandia Meritorious Achievement Award
Award, February 1, 2006 • Internal - other internal recognition, Sandia National Laboratories. Red Storm Design, Development and Deployment Team

Sandia Releases Tempus Time Integration Library
News Article, June 1, 2017 • A new time integration library has been open-source released under the Trilinos project. The Tempus library is being developed under the Exascale Computing Project/Advanced Technology Development and Mitigation (ECP/ATDM) program to support advanced analysis techniques, including Implicit-Explicit (IMEX) time integrators and embedded sensitivity analysis for next-generation code architectures. Tempus currently supports explicit Runge-Kutta...
Tempus time integration of Van der Pol’s strange attractor and limit cycle. All initial conditions reach the limit cycle (green), either from “small” initial values (blue) or “large” initial values (red).

Sandia Researchers Collaborate with Red Hat on Container Technology
News Article, July 1, 2020 • Sandia researchers in the Center for Computing Research collaborated with engineers from Red Hat, the world’s leading provider of open source solutions for enterprise computing, to enable more robust production container capabilities for high-performance computing (HPC) systems. CCR researchers demonstrated the use of Podman, which allows ordinary users to build...

Sandia to receive Fujitsu supercomputer processor
News Article, May 1, 2020 • This spring, CCR researchers anticipate Sandia becoming one of the first DOE laboratories to receive the newest A64FX Fujitsu processor, a Japanese Arm-based processor optimized for high-performance computing.The 48-core A64FX processor was designed for Japan’s soon-to-be-deployed Fugaku supercomputer, which incorporates high-bandwidth memory. It also is the first to fully utilize...
A64FX Processor

Sandia-led Earth System Modeling Project Featured in ECP Podcast
News Article, July 1, 2020 • CCR researcher Mark Taylor was interviewed in a recent episode of the “Let’s Talk Exascale” podcast from the Department of Energy’s Exascale Computing Project (ECP). Taylor leads the Energy Exascale Earth System Model – Multiscale Modeling Framework (E3SM-MMF) subproject, which is working to improve the ability to simulate the water...

Sandia-led Mantevo Project Wins 2013 R&D 100 Award
News Article, November 1, 2014 • The Sandia-led Mantevo Project for developing miniapps and related application proxies that enable design space exploration for next generation computer systems and application designs received a 2013 R&D 100 award.  

Sandia-led Supercontainers Project Featured in ECP Podcast
News Article, April 1, 2020 • As the US Department of Energy’s (DOE) Exascale Computing Project (ECP) has evolved since its inception in 2016, what’s known as containers technology and how it fits into the wider scheme of exascale computing and high-performance computing (HPC) has been an area of ongoing interest in its own right within...

Sandia, PNNL, and Georgia Tech Partner on New AI Co-Design Center
News Article, October 1, 2019 • Sandia National Laboratories, Pacific Northwest National Laboratory, and the Georgia Institute of Technology are launching a research center that combines hardware design and software development to improve artificial intelligence technologies. The Department of Energy Office of Advanced Scientific Computing Research (ASCR) will provide $5.5 million over three years for the research effort,...
The Artificial Intelligence-focused Architectures and Algorithms concept has applications, algorithms, programming runtime and architectures all working together

Sandians organize IMA Workshop “Frontiers in PDE-constrained Optimization”
News Article, September 1, 2016 • Sandia researchers Drew Kouri (1441) and Denis Ridzal (1441) organized a five-day workshop on "Frontiers in PDE-constrained Optimization" at the Institute for Mathematics and Its Applications (IMA), in collaboration with Harbir Antil (George Mason University) and Martin Lacasse (ExxonMobil).  The workshop brought together practitioners of PDE-constrained optimization from different disciplines,...

SBIR Award Panel
Award, February 8, 2011 • Review board, Department of Energy, ASCR.

SBIR/STTR Programs Review Panel
Award, December 13, 2017 – January 23, 2018 • Society/professional leadership, The Office of Advanced scientific computing in the Office of Science at the US Department of Energy.

Scalable Algorithms
Focus Area • Effective use of extreme-scale computing systems depends on the availability of scalable parallel algorithms. Sandia has a long history of activities in this area, with a focus on algorithms to enable parallel science and engineering simulations. Core areas of competency include dynamic load balancing for adaptive applications, iterative linear solvers,...

Scalable Algorithms
Department • The Scalable Algorithms Department develops new algorithms and approaches to address challenges in next-generation computing hardware. The department uses its expertise in applied mathematics and computational science to address these challenges and help define the future of computing.  We have four main research thrusts:  performance portability, scalable solvers, scalable graph...

Scalable Computer Architecture
Department • The Scalable Computer Architectures department supports the development of future supercomputer systems for leading edge high performance scientific and data analytic applications. Areas of active research include: HPC system architectures, System-on-Chip processor designs, advanced memory subsystems, interconnection networks, large-scale system resilience, power monitoring and control, application performance analysis, the development...
Results 376–400 of 482