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Nick Winovich
Staff Page • Scientific Machine Learning. Biography Nick's research focuses on the intersection of machine learning, probability theory, and partial differential equations with an emphasis on scientific and engineering applications. Prior to joining Sandia, he directed his research toward the construction of operator networks (neural networks designed to approximate operators rather than functions)...

NiMC: Network-Induced Memory Contention
News Article, April 1, 2016 • Researchers at Sandia National Laboratories have introduced the concept of Network-Induced Memory Contention (NiMC) and demonstrated its impact for a variety of current HPC system architectures. NiMC occurs when a remote direct memory access (RDMA) contends with the target node for the target's memory resources. Given the importance of computation/communication...
: Impact of Network-Induced Memory Contention on LAMMPS at up to 8,192 cores

NOVA Award
Award, February 1, 2006 • Other external recognition, Lockheed Martin. Red Storm Design and Development Team

Nuclear Energy
Focus Area • We develop and apply new coupled and integrated capabilities in support of nuclear energy, including reactor performance and safety and used nuclear fuel storage and disposal. We are a core partner in the Consortium for Advanced Simulation of Light Water Reactors (CASL) and are developing and deploying center capabilities that...

Numerical Analysis and Applications
Focus Area • Applied mathematics and numerical analysis provides a key foundation to Sandia's success in applying advanced computing to solve national-scale problems. Such work includes development of new numerical discretizations that are provably stable and convergent for multi-physics problems as well as algorithms and tools for mathematical optimization in the presence of...

NVIDIA has invited SNL to present results of a GPU performant shock hydrodynamics code at their Super Computing (SC17) booth.
News Article, February 1, 2018 • NVIDIA has invited SNL to present results of a GPU performant coupled hydrodynamics, low Magnetic Reynolds number  (low Rm) code at their Super Computing 17 (SC17) booth. Researchers at Sandia are developing a new shock hydrodynamics capability, based on adaptive Lagrangian techniques targeted at next generation architectures. The code simulates...

Ojas Parekh
Staff Page • Discrete Math & Optimization. Biography I am a theoretical computer scientist who enjoys applying mathematical techniques to practically motivated interdisciplinary problems. I have worked in a variety of fields including discrete optimization, combinatorics, combinatorial scientific computing, and most recently, quantum and neuromorphic computing. A recent passion is helping shape the emerging fields...

Oksana Guba
Staff Page • Computational Sciences. Biography Oksana Guba is a senior member of the technical staff in the Computational Science Department. Her interests are modeling, numerical methods, and discretizations, in particular, for Earth systems simulations. Those include many aspects of the atmospheric dynamical core modeling, thermodynamics, and physics processes. Education Ph.D. Applied Mathematics,...

On-node Resource Management for Supercomputers
News Article, September 1, 2016 • Researchers at Sandia National Laboratories are designing an integrated approach to resource management on the supercomputer node. Increasingly complex DOE applications and associated libraries create the problem of too many software components competing for shared on-node resources – system memory and processor cores on which to execute. Our resource management...
Lifecycle of Supercomputer Node Resources

Optimization & Uncertainty Quantification
Department • The Optimization and Uncertainty Quantification (UQ) Department's mission is to provide leadership in the research, development, and application of scientific optimization and UQ algorithms and software, in support of Sandia's many mission areas. The department produces several open-source, scientific software packages including Dakota and ROL (Rapid Optimization Library).

Optimization-based computational modeling
Award, November 1, 2010 • Invited Talk, Institute of mathematics and its Applications, U. Minnesota. Invited talk at the IMA workshop on "Numerical solution of PDEs: novel discretization techniques"

Organization
Page • Director Jennifer Gaudioso Center for Computing Research Senior Managers James StewartComputational Sciences & Math John T. FeddemaEnhanced Decision Making Robert HoekstraExtreme-scale Computing Managers Steven W. BovaComputational MultiphysicsRon BrightwellScalable System SoftwareIan ChengBusiness AdministrationDavid LittlewoodComputational MultiscaleTzvetan S. MetodiQuantum Computer ScienceRon OldfieldScientific Machine LearningTimothy WildeyComputational MathematicsAndrew G. SalingerComputational Science Matthew GraceDiscrete Math &...
Results 301–325 of 484