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Sandia Meritorious Achievement Award

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

Sandia Meritorious Achievement Award

Award, February 1, 1998 • Internal - other internal recognition, Sandia National Laboratories. TeraFLOP Computer Installation 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...

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...

Scalable Computing

Research Area • The CCR has a legacy of leadership in high-performance computing (HPC) at extreme scales. First-of-a-kind platforms, such as the Intel Paragon, ASCI Red (the world's first teraflops computer), and Red Storm (co-developed by Cray), helped form the basis for one of the most successful supercomputer product lines ever—the Cray XT...

Scalable System Software

Department • The Scalable System Software Department in the Center for Computing Research at Sandia National Laboratories explores and creates infrastructure that will shape the future of extreme-scale scientific computing systems. Driven by more complex workloads and the recent emergence of artificial intelligence and machine learning techniques, future high-performance computing (HPC) systems...

Scientific Machine Learning

Department •

Scott A. Mitchell

Staff Page • Computational Mathematics. For more detailed information about me, see my home page, sandia.gov/~samitch

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...