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The Extreme-Scale Scientific Softare Development Kit (xSDK)

Project • The goal of the xSDK is to provide the foundation of this extensible scientific software ecosystem.  The first xSDK release (in April 2016) demonstrated the impact of defining draft xSDK community policies to simplify the combined use and portability of independently developed software packages.  The xSDK releases have continued to attract more...

The Extreme-Scale Scientific Software Stack (E4S)

Project • The Extreme-Scale Scientific Software Stack (E4S) is an open source, open architecture effort to create a US and international collaborative software stack for high performance computing.  Led by the US Exascale Computing Project (ECP), E4S provides a conduit for building, testing, integrating and delivering the open source products developed under...

The Next Platform Highlights CCR Work on Memory-Centric Programming

News Article, February 1, 2018 • A recent article from The Next Platform, an online publication that offers in-depth coverage of high-end computing, recently featured an article entitled “New Memory Challenges Legacy Approaches to HPC Code.” The article discusses a paper co-authored by CCR researcher Ron Brightwell that was published last November as part of the...
The Next Platform

Thomas E. Voth

Staff Page • Computational Multiphysics. Biography Tom is a member of the Computational Multiphysics Department which is home to the ALEGRA multiphysics application. As a member of the ALEGRA team Tom has lead developments in contact/impact mechanics for explicit dynamics and remesh methods for Arbitrary Lagrangian Eulerian mechanics. Tom is also technical lead...

Thomas M. Smith

Staff Page • Computational Science. Biography My research and development interests center around two major topics. The first is discretizations of PDEs for unstructured grids such as; finite element, finite volume and discontinuous Galerkin methods. The second topic is modeling and simulation fluid flows such as; incompressible, compressible, turbulent, reacting, wave propagation and...

Three staff in the Non-Conventional Computing Technologies department (1425) recently made high-profile technical communications.

News Article, September 1, 2017 • Three staff in the Non-conventional Computing Technologies department (1425) recently made high-profile technical communications: Kenneth Rudinger coauthored a paper published in Physical Review Letters on a robust method for phase estimation for qubits: “Experimental demonstration of cheap and accurate phase estimation.” His co-authors were Shelby Kimmel, Joint Center for Quantum...
FIG. 1: (a) RPE and (b) GST experimental sequences. Each sequence starts with the state p and ends with the two-outcome measurement M. (a) An RPE sequence consists of repeating the gate in question either L orL + 1 times. (b) In GST, a gate sequence Fi is applied to simulate a state preparation potentially different from p. This is followed by [L/|gk|I] applications of a germ—a short gate sequence gk of length |gk|. Finally, a sequence Fj is applied to simulate a measurement potentially different from M.

Tian Yu Yen

Staff Page • Scientific Machine Learning. Biography Tian Yu joined Sandia as a postdoc in 2021. His current research focuses on methods of aleotoric and epistemic uncertainty quantification for inverse problems as well as techniques for quantifiying uncertainty in machine learning algorithms. He has a background is in measure-theoretic inversion, Bayesian inference, and...

Timothy Michael Wildey

Staff Page • Scientific Machine Learning. Biography Tim joined Sandia National Labs in January, 2011 following a postdoctoral fellowship at the University of Texas at Austin. His research interests are finite element and finite volume methods, discontinuous Galerkin methods, hybridized discretizations, a posteriori error analysis and estimation, uncertainty quantification, adjoint methods, multiphysics and...

Translating new neurons from mice to humans: the computational neuroscience of scale

Award, October 10, 2012 • Invited Talk, Virginia Tech Carilion Research Institute.

Trilinos

Software • The Trilinos Project is an effort to develop algorithms and enabling technologies within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. A unique design feature of Trilinos is its focus on packages.

Trilinos

Project • The Trilinos Project is an effort to develop algorithms and enabling technologies within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. A unique design feature of Trilinos is its focus on packages.

Trinity

News Article, January 1, 2016 • The next-generation Trinity supercomputing platform project has recently achieved two important milestones. Trinity is an advanced computing platform for stockpile stewardship that is being architected and procured by the Alliance for Computing at Extreme Scale (ACES), a partnership between Sandia and Los Alamos National Laboratories, under the NNSA Advanced Simulation...

Trinity Program Pursuing “Power-Aware Scheduling” Through Contract with Adaptive Computing

News Article, October 1, 2016 • The Trinity project has placed a new “Non-Recurring Engineering” contract with Adaptive Computing to develop “Power-Aware Scheduling” capabilities for the Trinity supercomputer, which when fully installed will consume 8-10 megawatts (MW) and have a peak computational capability of more than 40 petaflops.  This work will enable power to be managed...
Notional framework for power-aware scheduling. In order to maximize the benefit derived from a system-level power budget of 20 MW, the workload manager allocates power to jobs based on historical and real-time power usage information obtained from the power usage database.

Two Sandia scientists cited for computing advances yielding real world impact

News Article, February 1, 2016 • Sandia scientists Ali Pinar (8962) and Cindy Phillips (1400) have been selected as distinguished members of the Association for Computing Machinery (ACM). ACM, the world’s leading association of computing professionals, selected Ali and Cindy for their significant accomplishments and impact in computing. ACM recently selected 49 members for this recognition...
Sandia scientists Ali Pinar (8962) and Cindy Phillips (1400) have been selected as distinguished members of the Association for Computing Machinery.

Uncertainty Quantification

Focus Area • Uncertainty Quantification (UQ) is a growing area of importance for quantifying confidence in computational engineering simulations. Our activities in this area include fundamental algorithm research, implementation of those algorithms into our flagship software tools DAKOTA (http://dakota.sandia.gov) and Trilinos (http://trilinos.sandia.gov), and deployment of those tools to mission-critical application teams within Sandia...

Uncertainty Quantification Challenges in High-Performance Scientific Computing

Award, April 3, 2014 • Other external recognition, SIAM Conference on Uncertainty Quantification. Mini-tutorial

Unveiling the Interplay Between Global Link Arrangements and Network Management Algorithms on Dragonfly Networks

Award, August 3, 2017 • Invited Talk, Fourth Workshop on Programming Abstractions for Data Locality (PADAL).

US Frontiers of Engineering Symposium Invitee

Award, September 25, 2017 – September 27, 2017 • Other external recognition, National Academy of Engineering. Nominated to be one of ~100 young engineers to participate in a multi-day symposium on emerging topics in engineering. https://www.naefrontiers.org/Symposia/USFOE/USFOE-PastSymposia/54726.aspx

USACM Thematic Workshop on Uncertainty Quantification and Data-Driven Modeling

News Article, May 1, 2017 • The U.S. Association for Computational Mechanics (USACM) Thematic Workshop on Uncertainty Quantification and Data-Driven Modeling was held on March 23-24, 2017, in Austin, TX. The organizers of the technical program were James R. Stewart of Sandia National Laboratories and Krishna Garikipati of University of Michigan. The organization was coordinated through the...

V. Gregory Weirs

Staff Page • Computational Science. Biography I am a Senior Member of the Technical Staff in the Computational Science Department. My expertise by training is computational fluid dynamics for compressible reacting flows, and these remain at the core of my recent projects. At Sandia I have also focused on verification and validation (V&V)...

Vanguard

Project • The Vanguard project is expanding the high-performance computing ecosystem by evaluting and accelerating the development of emerging technologies in order to increase their viability for future large-scale production platforms. The goal of the project is to reduce the risk in deploying unproven technologies by identifying gaps in the hardware and software...

Verification and Validation

Focus Area • Verification and Validation (V&V) are important technologies for enabling a science-basis for computational engineering predictions. Our activities include development of new methodologies and workflows for code verification, solution verification, and validation, in support of engineering analysis. This work requires close partnership with other Sandia organizations. We also work across organizations...

Virtual Machine Support for the Cray XC

News Article, August 1, 2017 • Researchers at Sandia National Laboratories have demonstrated for the first time the ability to deploy general purpose virtual machines on a Cray XC series supercomputer. Various high-performance computing and data intensive workloads exhibited near native levels of efficiency and scalability. This effort lays the groundwork for supporting coupled simulation and...
This plot shows the performance of the High Performance Conjugate Gradient (HPCG) benchmark using the native operating system (Native) versus an operating system running in a virtual machine (KVM). The labels show percent of native performance, and higher gaps at scale show additional room for improvement in the network stack

Vitus J. Leung

Staff Page • Discrete Math & Optimization. Biography Research Interests: On-line AlgorithmsComputational ComplexityAnalysis of AlgorithmsGraph TheoryCombinatorics Publications
Results 451–475 of 486