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Project • Albany is an implicit, unstructured grid, finite element code for the solution and analysis of partial differential equations. Albany is the main demonstration application of the AgileComponents software development strategy at Sandia. It is a PDE code that strives to be built almost entirely from functionality contained within reusable libraries (such...


Project • The ALEGRA application is targeted at the simulation of high strain rate, magnetohydrodynamic, electromechanic and high energy density physics phenomena for the U.S. defense and energy programs. Research and development in advanced methods, including code frameworks, large scale inline meshing, multiscale lagrangian hydrodynamics, resistive magnetohydrodynamic methods, material interface reconstruction, and code...

Alina Kononov

Staff Page • Quantum Computer Science. Alina develops and applies cutting-edge methods to model excited electron dynamics in materials. Her doctoral research focused on first-principles modeling of ion-irradiated surfaces and 2D materials, where her contributions enabled predictive calculations of ion-induced electron emission, uncovered new surface physics, and offered insights for ion beam materials...
Alina Kononov

Allen C. Robinson

Staff Page • Computational Multiphysics. Biography Dr. Allen C. Robinson is a distinguished member of the technical staff at Sandia National Laboratories. Since starting work at Sandia in 1983 his interests have included shaped charge modeling and subsonic jet flow, Rayleigh-Taylor instability in solids and parallel computing for shock physics modeling. He has...

AMD Leverages Sandia Technology to Improve GPU Networking

News Article, November 1, 2017 • At the recent International Conference on High Performance Computing, Networking, Storage, and Analysis (SC’17), Michael LeBeane from AMD presented a research paper entitled “GPU Triggered Networking for Intra-Kernel Communications.” The paper describes an approach using triggered operations to improve networking performance for systems, such as the Titan machine at Oak...
SC17 Logo

Andrew G. Salinger

Staff Page • Computational Sciences & Math. Biography My research involves the integration of technologies to build application codes for the solution and analysis of systems governed by partial differential equations. Currently, my main focus is promoting the software modernization of E3SM, DOE's Earth system model, to improve the quality of the model...

Andrew J Younge

Staff Page • Scalable System Software. Biography Andrew J. Younge is a Computer Scientist in the Scalable System Software department at Sandia National Laboratories. His research interests include high performance computing, virtualization, distributed systems, and energy efficient computing. The focus of his research is on improving the usability and efficiency of system software for supercomputing systems....
Andrew J Younge

Andrew J. Landahl elected a Fellow of APS

News Article, January 1, 2017 • Andrew J. Landahl, a distinguished member of the Non-conventional Computing Technology department, was elected a Fellow of the American Physical Society (APS).  He was nominated by the Topical Group on Quantum Information (GQI), which is a segment of APS of which Andrew is a recent past-Chair.  The citation for his...

Andrew Michael Bradley

Staff Page • Computational Science. Biography I develop and analyze numerical methods and software to solve problems in engineering and science. Publications

Ann has led, unified and improved national-level Transportation Security Administration (TSA) field research to improve aviation security processes and TSA officer performance.

Award, April 22, 2014 • Internal - employee recognition award, Sandia National Laboratories.

Ann Speed

Staff Page • Cognitive & Emerging Computing. Biography I have been doing research on how to make analysts more effective for several years - mostly in the visual search domain by conducting human subjects experiments in what I call "near operational" environments. I'm also increasingly interested in the overlap, and gap, between laboratory-based...

Anthony Gruber

Staff Page • John von Neumann Fellow. Biography I am a mathematician interested in basic and applied research questions that arise in the contexts of data science, nonlinear partial differential equations, and scientific machine learning.  Lately, my focuses are primarily on (1) developing structure-informed surrogate models for the efficient approximation of large-scale systems,...

Applications of Mathematics Colloquium

Award, February 7, 2012 • Invited Talk, Loyola University Chicago.

Are New Neurons in Humans Important? How Scale Affects Neurogenesis Function

Award, May 16, 2014 • Invited Talk, Keystone Meeting on Adult Neurogenesis.

ASCR Discovery Features CCR Exascale System Software Research

News Article, January 1, 2017 • The January 2017 feature article of ASCR Discovery highlights exascale system software research led by the Center for Computing Research. The article “Upscale Computing: National labs lead the push for operating systems that let applications run at exascale,” discusses some of the exascale computing challenges from the operating system and...
ASCR Discovery site

ASCR Funded Publications

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Astra – An Arm-Based Large-Scale Advanced Architecture Prototype Platform

News Article, June 1, 2018 • Astra, one of the first supercomputers to use processors based on the Arm architecture in a large-scale high-performance computing platform, is being deployed at Sandia National Laboratories.  Astra is the first of a potential series of advanced architecture prototype platforms, which will be deployed as part of the Vanguard program...
Astra Supercomputer

Astra Supercomputer is Fastest Arm-Based Machine on Top 500 List

News Article, November 1, 2018 • Sandia’s Astra is the world’s fastest Arm-based supercomputer according to the just released TOP500 list, the supercomputer industry’s standard. With a speed of 1.529 petaflops, Astra placed 203rd on a ranking of top computers announced at SC18, the International Conference for High Performance Computing, Networking, Storage, and Analysis, in Dallas. A petaflop is a unit...
Astra Supercomputer

Astra Supercomputer Team Wins NNSA Defense Programs Award of Excellence

News Article, October 1, 2019 • The Astra Supercomputer Team was recently awarded an NNSA Defense Programs Award of Excellence “For excellence in design, acquisition, and integration of the Astra prototype System.” These prestigious annual awards are granted to National Security Enterprise teams and individuals across the NNSA complex to recognize significant contributions to the Stockpile...
NNSA Defense Programs - Awards of Excellence

Automated Ensemble Analysis in Support of Nuclear Deterrence Programs

News Article, June 1, 2021 • Managing the modeling-simulation-analysis workflows that provide the basis for Sandia’s Nuclear Deterrence programs is a requirement for assuring verifiable, documented, and reproducible results. The Sandia Analysis Workbench (SAW) has now been extended to provide workflow management through the final tasks of ensemble analysis using Sandia’s Slycat framework. This new capability...
An unsupervised ensemble analysis sub-workflow sits atop a larger NGW computational simulation workflow. In the background, a solid mechanics parameter study is being analyzed in Slycat.

Award for Excellence

Award, November 10, 2010 • Award, Sandia National Laboratories. For educating the next generation of computational scientists through teaching at UNM

Award for excellence

Award, February 16, 2010 • Award, Sandia National Laboratories. For outstanding team effort on an industrial CRADA project


Page • “Efficient scheduling to minimize calibrations” “Efficient scheduling to minimize calibrations” Award, April 3, 2014 Invited Talk, Workshop on New Challenges in Scheduling Theory. “Optimization-based modeling – a new strategy for predictive simulations. Part 1” “Optimization-based modeling – a new strategy for predictive simulations. Part 1” Award, May 7, 2011 Invited...

Backfilling with guarantees granted upon job submission

Award, October 25, 2012 • Invited Talk, New Challenges in Scheduling Theory.

Bart G van Bloemen Waanders

Staff Page • Scientific Machine Learning. Biography Bart's research interests are PDE-constrained optimization and uncertainty quantification with a focus on complex applications such as fluid flow, geoscience, electromagnetic, and mechanics. He is co-developer of the Multi-physics/scale Interface for Large scale Optimization (MILO) and the Hyper-Differential Sensitivity Analysis library (HdsaLib). Formerly a Petroleum engineer...
Results 26–50 of 486