Search

Results 426–450 of 506

Scott Larson Nicoll Levy
Staff Page • Scalable System Software. Biography I am a Senior Member of Technical Staff in the Scalable System Software department of the Center for Computing Research (CCR). I research system software for next-generation extreme-scale systems. Specifically, I study the impact of system failures, and other sources of performance interference, on the execution...

Secure multiparty computation supports machine learning in sensor networks.
News Article, January 1, 2022 • The Cicada project is a collaboration between Sandia National Laboratories and the University of New Mexico to develop the necessary foundations for privacy-preserving machine learning in large networks of autonomous drones.  Their approach utilizes secure multiparty communication methods to protect information within decentralized networks of low-power sensors that communicate via...
Illustration of privacy-preserving communication over a network of autonomous drones.

Senior Member
Award, May 7, 2009 • Internal - employee recognition award, ACM.

Senior Member
Award, September 4, 2012 • Internal - employee recognition award, IEEE. Senior Member is the highest professional grade of the IEEE for which a member may apply. It requires experience, and reflects professional accomplishment and...

Senior Member
Award, March 1, 2014 • Other external recognition, Association for Computing Machinery.

Session Organizer
Award, August 12, 2013 – October 9, 2013 • Society/professional leadership, INFORMS Annual Meeting.

Simon Garcia de Gonzalo
Staff Page • Scalable Computer Architecture. Biography Dr. Simon Garcia de Gonzalo is a senior member of technical staff in scalable computer architectures and exascale technologies. Simon currently is part of different projects/teams such as: Vanguard Advanced Architecture Prototype program and the Application Performance Team. Before joining Sandia National Laboratories in 2022 he...

Slycat Enables Synchronized 3D Comparison of Surface Mesh Ensembles
News Article, December 1, 2020 • In support of analyst requests for Mobile Guardian Transport studies, researchers at Sandia National Laboratories have expanded data types for the Slycat ensemble-analysis and visualization tool to include 3D surface meshes.  Analysts can now compare sets of surface meshes using synchronized 3D viewers, in which changing the viewpoint in one...
Here we see 3 cloned viewers for each of 2 runs at timestep 400 (red and blue selected points). The clones are vertically matched between the 2 runs to display the same 3 variables: the cell-based variables of Von Mises and stress along the X-axis, and the first component of the point variable React. The top row is an example of a simulation using the fastest initial velocity value (blue scatterplot point), while the bottom row is an example of the slowest (red scatterplot point).

Slycat™ Expands External Access Through Demonstration Servers
News Article, November 1, 2017 • The demonstration version of the Slycat™ server, Sandia National Laboratories’ open-source ensemble analysis and visualization system, has been released as a Docker container at https://hub.docker.com/r/slycat/slycat-developer/. This distribution provides a fully-functional webserver, preloaded with example Slycat™ models and test data. This release is intended to facilitate broader access to Slycat™ outside...
The windows shows Slycat™ analysis of the cars dataset, one of the 7 different open datasets and data models distributed with the Slycat™ Docker container and available on the myslycat.com website.

Slycat™ Expands User Community to Army Research Laboratory
News Article, June 1, 2017 • Researchers at Sandia National Laboratories just completed an installation of SNL’s open-source ensemble analysis and visualization system, SlycatTM, at the Army Research Laboratory in Aberdeen, Maryland. This is the culmination of a year-long small project with the ARL that also includes a small amount of support funding for the remainder...
Slycat supports a number of analysis types for large ensembles of data including: Canonical Correlation Analysis (CCA) for correlations between sets of variables, sensitivity analysis, and anomaly detection; Time-Series Clustering (shown in figure) that includes shape filtering, discovery of outliers, and mapping output variability to inputs; and Parameter-Space Analysis that enables visual exploration, filtering, multi-objective optimization, and image/video retrieval.

Smart Grid
Focus Area • Electricity grid operators routinely solve optimization problems to address core decision processes at various time-scales, ranging from 5 minutes to multiple decades. Historically, these problems are addressed in terms of deterministic optimization, with resources kept in reserve to address any potential uncertainty regarding the future. In the context of daily...

SmartBlock reusable workflow components
Software • SmartBlock offers a way to compose workflow glue components using generic functionality rather than having to write that code directly. The initial release has examples of a few different operators and how to compose them for different applications and data formats. The underlying transport technology is ADIOS + FlexPath, but...

SNL adds Discontinuous Galerkin visualization capability to EMPIRE and ParaView
News Article, January 1, 2022 • Sandia National Laboratories in collaboration with Kitware, Inc. added new capabilities to store and visualize Discontinuous Galerkin (DG) simulation results using the Exodus/ParaView workflow to support the EMPIRE plasma physics application.  The DG methods employed by EMPIRE were selected because of their natural conservation properties, support of shock capturing methods,...
Electron density of the 2D Triple Point Problem warped in the Z dimension to illustrate the discontinuity between elements.

Software
Page • The CCR collaborates on innovations in tool development, component development, and scalable algorithm research with partners and customers around the world through open source projects. Current software projects focus on enabling technologies for scientific computing in areas such as machine learning, graph algorithms, cognitive modeling, visualization, optimization, large-scale multi-physics simulation,...

Software Development
Focus Area • Through open source projects, we collaborate on innovations in tool development, component development, and scalable algorithm research with partners and customers around the world. Our current software projects focus on machine learning, graph algorithms, cognitive modeling, text analysis, visualization, systems dynamics, and operations research.

Software Engineering & Research
Department • The Software Engineering and Research Department (1424), a new department within the Center for Computing Research, is leading the strategic goal of furthering the substantiation of software engineering as an engineering discipline. This dynamic team of experts conducts fundamental and applied research, development and application in software engineering, design, and...

SPARTA
Software • Stochastic PArallel Rarefied-gas Time-accurate Analyzer SPARTA is a parallel DSMC or Direct Simulation Monte Carlo code for performing simulations of low-density gases in 2d or 3d. Particles advect through a hierarchical Cartesian grid that overlays the simulation box. The grid is used to group particles by grid cell for purposes...

SPOT Award
Award, April 24, 2012 • Internal - spot award, Sandia National Laboratories. "For outstanding work in leading the development of Prism and providing training in its use."

SPPARKS
Software • Stochastic Parallel PARticle Kinetic Simulator SPPARKS is a parallel Monte Carlo code for on-lattice and off-lattice models that includes algorithms for kinetic Monte Carlo (KMC), rejection kinetic Monte Carlo (rKMC), and Metropolis Monte Carlo (MMC). It implements several KMC solvers whose serial computational complexity ranges from O(N) to O(NlogN) to...

Srideep Musuvathy
Staff Page • Cognitive and Emerging Computing. Biography Dr. Srideep Musuvathy is a Principal Member of Technical Staff in the Center for Computing Research at Sandia National Laboratories. His research focuses on developing algorithms and co-design solutions for autonomous systems. At Sandia, his focus is on both machine learning, and algorithms and software...

Standardizing Node Memory Management for HPC
News Article, January 1, 2017 • Computer scientists at Sandia National Laboratories are contributing to standardization of memory management interfaces for HPC applications through the OpenMP Language Committee.  The emergence of multiple levels of memory with distinct characteristics (e.g., high bandwidth or persistent storage) is a disruptive technology change presenting both challenges and opportunities for DOE...
Results 426–450 of 506