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Results 301–325 of 402

Rapid Optimization Library (ROL)
Software • Rapid Optimization Library (ROL) is a high-performance C++ library for numerical optimization. ROL brings an extensive collection of state-of-the-art optimization algorithms to virtually any application. Its programming interface supports any computational hardware, including heterogeneous many-core systems with digital and analog accelerators. ROL has been used with great success for optimal...

Raymond Stephen Tuminaro
Staff Page • Computational Mathematics. Biography I'm interested in parallel iterative methods for linear systems, numerical linear algebra, eigenvalue problems, and parallel numerical software. Special interests in algebraic multigrid (e.g. smoothed aggregation), numerical solution of Maxwell's equations, incompressible Navier-Stokes, and block preconditioning. I have developed the Aztec iterative library as well as the...

Recognized at D1K Tier Board
Award, October 11, 2021 • Review board, D1K Tier Board. Susan Seestrom, Recognized for https://www.nature.com/articles/s42005-021-00705-1

Research Areas
Page • Computational Physical Simulation The CCR and Sandia have a long and distinguished history of leadership in computational science and engineering, including massively parallel computation, uncertainty quantification, mathematical optimization, scalable solvers, software toolkits, and scientific software engineering, to name a few. The CCR stewards, leverages, and extends these capabilities to remain...

Resilience Requirements for Exascale and Beyond
Project • Research shows that failures in current computer systems are common and are expected to increase in the future. This rise in failures is largely due to future systems having significantly more memory (like DRAM and SRAM) and more complex processing units (such as GPGPUs and FPGAs). To manage these failures,...

Reviewer
Award, September 10, 2007 – July 12, 2008 • Society/professional leadership, Journal of Parallel and Distributed Computing.

Richard B. Lehoucq
Staff Page • Discrete Math & Optimization. See my expanded staff site.

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 Roger is a 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,...

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 Invited Program Committee, Programming Environments and System Software, 2026 ISC High Performance Program Committee, System Software, 2026 IEEE International Parallel and Distributed Processing Symposium (IPDPS'26) Program Committee, 2026 ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'26) Bio I received my BS in mathematics in...

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....

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 Deploys SpiNNaker2 Neuromorphic System
News Article, August 19, 2025 • The Neural Exploration and Research Lab in Sandia’s Center for Computing Research has partnered with the German startup SpiNNcloud to deploy a large-scale SpiNNaker2 system. Each SpiNNaker2 chip contains 153 compute cores based on the Arm architecture and has dedicated machine learning and neuromorphic accelerators that run AI and machine...

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

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
Results 301–325 of 402