Award, February 5, 2019 • Internal - employee recognition award, Sandia National Laboratories. The Astra Supercomputer Team procured the world's largest high-performance computing system based on the Arm processor, working on a very aggressive schedule...
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Eric Christopher Cyr
Staff Page • Computational Mathematics. Biography Eric is a Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories in Albuquerque, NM. His research focus is on simulation of multiphysics PDEs, advanced analysis techniques, scalable algorithms and scientific machine learning. Education PhD Computer Science, University of Illinois...
Eric T. Phipps
Staff Page • Scalable Algorithms. Biography Eric joined Sandia National Laboratories in September 2002 and is currently a principal member of the technical staff in the Scalable Algorithms Department. Eric's research focuses on developing new capabilities for predictive simulation and analysis in Sandia’s large-scale parallel application codes using techniques based on automatic differentiation and...
Ernesto Esteves Prudencio
Staff Page • Computational Mathematics. Biography Ernesto has been working at Sandia since November of 2022. He is a computational mathematician with professional experience in industry (IBM/Brazil and Schlumberger/USA), academia (UT Austin), and national laboratories (ANL as summer student, SLAC, Sandia-NM). His background involves (i) linear algebra (domain decomposition and multigrid preconditioners; PETSc...
Evaluating the impact of SDC on the GMRES iterative solver
News Article, October 1, 2013 • Accepted to the 28th IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2014.
Evaluating the opportunities for multi-level memory
News Article, October 1, 2016 • 1420 researchers successfully completed a CSSE Level 2 milestone investigating the impact of next-generation multi-level memory hierarchies (i.e., hierarchies including multiple main memory technologies such as high-bandwidth memory and traditional DDR DRAM) on key ASC algorithms and kernels. The study found that while ASC applications vary widely in their ability...
Exascale Research Conference
Award, April 15, 2012 • Invited Talk, DOE.
Excellence in Technology Transfer
Award, April 29, 2010 • Award, Federal Laboratory Consortium. Red Storm Massively Parallel Processor
Excellence in Technology Transfer Award
Award, February 1, 2010 • Award, Federal Laboratory Consortium for Technology Transfer.
External referee for a PhD thesis
Award, July 19, 2017 – October 12, 2017 • Society/professional leadership, Grenoble Institute of Technology.
Extreme Scale Algorithms and Solvers Resilience (EASIR) Research Funded by Office of Science
News Article, November 1, 2012 • The Office of Science has funded a new effort jointly lead by Sandia National Laboratories (SNL) and Oak Ridge National Laboratories (ORNL) to explore scalable algorithms for the next generation of hardware architectures. As DOE moves towards the Leadership-class machines of the next 5-10 years, algorithms are going to face...
Extreme-scale Computing
Department •
FAIR DEAL Grand Challenge LDRD Project
Award, May 3, 2022 • Internal - employee recognition award, Sandia National Laboratories . Sandia National Laboratories, Team A - INNOVATION, Divisions ESD - 5000
Fairness of Job Scheduling in Cplant
Award, May 29, 2006 – June 2, 2006 • Invited Talk, Scheduling Algorithms for New Emerging Applications.
FASTMath
Project • The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborates with application scientists to ensure the usefulness and applicability of FASTMath technologies. FASTMath is a collaboration between Argonne National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory,...
Felix Wang
Staff Page • Senior Member of Technical Staff. Biography Felix Wang is a Senior Member of Technical Staff in the Center for Computing Research at Sandia National Laboratories. He has a background in artificial intelligence and signal processing, and he earned a Ph.D. in Electrical and Computer Engineering from the University of Illinois...
Fellow of the Society of Industrial and Applied Mathematics (SIAM)
Award, March 30, 2012 • Professional society promotion, SIAM, Philadelphia. 2012 Class of SIAM Fellows
Forecasting, Not Fearing, Sea-Level Rise
News Article, May 1, 2016 • www.cleantechnica.com/forecasting-not-fearing-sea-level-rise/
Frances S. Chance
Staff Page • Cognitive & Emerging Computing. Biography My research focus is to understand how biological neural networks represent, transform, and transmit information in the brain. At Sandia Labs I use computational modeling and mathematical analysis of neurons and neural networks to understand the basic computations that underlie sensory processing and cognition.I am...
Gauss Award
Award, June 19, 2017 • Award, German Gauss Center for Supercomputing. This award is assigned to the most outstanding paper in the field of scalable supercomputing accepted to ISC HPC
GazeAppraise team nominated for federal labs consortium notable technology development award
News Article, September 1, 2016 • Overview Experienced professionals, whether in security or medicine, are great at pattern recognition and spotting irregularities as they scan images, but can be overwhelmed by the volume of data, especially in rapidly changing and high-stress environments. New products have been developed to assist workers, but it’s unclear that these products...
GazeAppraise Team Receives Notable Technology Development Award
News Article, September 1, 2016 • Technology Development Award: Sandia’s GazeAppraise team received a Notable Technology Development award from the Federal Laboratory Consortium (FLC) on Technology Transfer, Mid-Continent Region. The award for GazeAppraise Eye Movement Analysis Software was presented at the annual FLC regional meeting in Albuquerque, September 13-15, 2016. The Mid-Continent region includes 15 states....
Genten: Software for Generalized Tensor Decompositions
Software • Tensors, or multidimensional arrays, are a powerful mathematical means of describing multiway data. This software provides computational means for decomposing or approximating a given tensor in terms of smaller tensors of lower dimension, focusing on decomposition of large, sparse tensors. These techniques have applications in many scientific areas, including signal...
Gerald Fredrick Lofstead
Staff Page • Scalable System Software. Biography My research priority is to manage the data volume from scientific simulations to accelerate the scientific discovery process. To accomplish these goals, I work on issues related to managing the data created by simulations to the IO stack including the parallel file system and through online...
Gianluca Geraci
Staff Page • Optimization and Uncertainty Quantification. Biography Gianluca is a Principal Member of the Technical Staff in the Optimization and Uncertainty Quantification department at Sandia. His research interests span Uncertainty Quantification, Multi-Fidelity Modeling, Dimension Reduction, Design Under Uncertainty, and Data-Driven approaches. Gianluca’s work at Sandia focuses on the development of computational and...
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