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Bart G van Bloemen Waanders

Staff Page • Scientific Machine Learning. Biography Bart's research interests are PDE-constrained optimization and uncertainty quantification with a focus on complex applications such as fluid flow, geoscience, electromagnetic, and mechanics. He is co-developer of the Multi-physics/scale Interface for Large scale Optimization (MILO) and the Hyper-Differential Sensitivity Analysis library (HdsaLib). Formerly a Petroleum engineer...

Bernadette M. Watts

Staff Page • Center 1400 Business Office. Biography Business Lead for Computational Sciences & Math, Group 1440 Optimization & UQ - Dept. 1441 Computational Mathematics, - Dept 1442 Computational Multiphysics - Dept 1443 Multiscale Science - Dept 1444 Multiphysics Applications - Dept 1446

Best Paper Award

Award, November 4, 2014 • Best paper/poster, 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014).

Best Paper Award, “The Impact of Periodic Comet Shoemaker-Levy 9 on Jupiter”

Award, October 17, 1994 • Best paper/poster, Hypervelocity Impact Society .

Best Paper finalist

Award, September 1, 2015 • Best paper/poster, IEEE High Performance Extreme Computing Conference.

Best Paper of 2019

Award, November 25, 2020 • Award, Optimization Letters.

Best Paper, 20th High Performance Computing Symposium

Award, March 15, 2012 • Best paper/poster, Conference.

Best Poster

Award, November 15, 2011 • Best paper/poster, IEEE/ACM International Conference on High-Performance Computing, Networking, Storage, and Analysis (SC'11) Conference.

Best Student Paper Award: “Characterizing and Mitigating Work Time Inflation in Task Parallel Programs”

Award, November 15, 2012 • Best paper/poster, ACM / IEEE Supercomputing (SC12).

Best Student Paper, The 10th LCI International Conference on High-Performance Clustered Computing

Award, March 15, 2009 • Best student paper/poster, Conference.

Brad Theilman

Staff Page • Postdoctoral Appointee. Biography Bradley Theilman is a postdoctoral appointee at Sandia National Laboratories. His research focuses on applying neuroscientific principles to neuromorphic computing. He earned a Ph.D. in computational neuroscience in 2021 from UC San Diego, where he worked on topological approaches to understanding neural population activity in the auditory...

Braess-Like Paradox on a Bipartite Exchange Network: More Connections are Not Always Better

Award, September 12, 2010 – September 17, 2010 • Invited Talk, New Challenges in Scheduling Theory.

Braess-like paradoxes on a bipartite exchange network: More connections are not always better

Award, October 11, 2009 • Invited Talk, INFORMS Annual Meeting.

Breakout group co-leader

Award, April 7, 2009 – April 10, 2009 • Society/professional leadership, NSF Workshop on the Science of Power Management.

Brian Neal Granzow

Staff Page • Computational Multiphysics. Biography Brian received a Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute and a B.S. in applied mathematics from the University of New Mexico. His research interests include developing numerical algorithms and software for predictive simulation on next-generation architectures, a posteriori error estimation in finite element analysis, unstructured...

Cale Crowder

Staff Page • Cognitive & Emerging Computing. Dr. Cale Crowder is a Senior Member of the Technical Staff in Cognitive and Emerging Computing at Sandia National Laboratories. At Sandia, Cale's research focuses on applying machine learning and reinforcement learning techniques with many different applications, including: Designing microelectronics (including neuromorphic computers)Simulating how international disinformation...

Career Opportunities

Page • Sandia's Center for Computing Research is always looking for outstanding scientists and engineers across a broad spectrum of disciplines. We hire mathematicians, computer scientists, data scientists, computational scientists, cognitive scientists, and many additional disciplines as evidenced by the scope of our web pages. We primarily (but not exclusively) hire PhDs....

Carl Pearson

Staff Page • Limited-Term Employee. Biography Carl Pearson is an LTE in the Scalable Algorithms group at Sandia National Labs and a Research Assistant Professor (LAT) of Computer Science at University of New Mexico. He works on future architectures for scientific computing, GPU communication for distributed linear algebra, and GPU acceleration of irregular...

CCR Applied Mathematician Wins DOE Early Career Research Award

News Article, July 29, 2023 • CCR researcher Pete Bosler won a Department of Energy Office of Science Early Career Research Award of up to $500,000 annually for five years. The Early Career Research Program, now in its 13th year, is designed to provide support to researchers during their early career years. This year, DOE awarded...

CCR Focus Areas

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,...

CCR Researcher Delivered Keynote at EuroMPI/USA

News Article, November 1, 2017 • CCR researcher Ron Brightwell delivered one of three keynote talks at the recent EuroMPI/USA conference held at Argonne National Laboratory. The Message Passing Interface (MPI) is a de- facto standard programming interface and is the most popular programming system used in high-performance parallel computing, and EuroMPI is an annual conference...

CCR Researcher Discusses Ceph Storage on Next Platform TV

News Article, July 1, 2020 • CCR system software researcher Matthew Curry appeared on the June 22nd episode of “Next Platform TV” to discuss the increased use of the Ceph storage system in high-performance computing (HPC). Matthew’s interview with Nicole Hemsoth of the Next Platform starts at the 18:40 mark of the video. In the interview,...

CCR Researcher Discusses IO500 on Next Platform TV

News Article, September 1, 2020 • CCR system software researcher Jay Lofstead appeared on the September 3rd episode of “Next Platform TV” to discuss the IO500 benchmark, including how it is used for evaluating large- scale storage systems in high-performance computing (HPC) and the future of the benchmark. Jay’s discussion with Nicole Hemsoth of the Next...

CCR Researcher Jay Lofstead Co-Authors Best Paper at HPDC’19

News Article, June 1, 2019 • CCR Researcher Jay Lofstead and his co-authors from the Illinois Institute of Technology have been awarded Best Paper at the recent 2019 ACM International Symposium on High- Performance Parallel and Distributed Computing. Their paper entitled “LABIOS: A Distributed Label-Based I/O System” describes an approach to supporting a wide variety of...

CCR Researcher Jay Lofstead Helps Unveil First IO-500 Benchmark Results

News Article, November 1, 2017 • CCR researcher Jay Lofstead, together with collaborators John Bent from Seagate, Julian Kunkel from the German Climate Computing Center, and Georges Markomanolis of King Abdullah University of Science and Technology released the first results of the IO-500 benchmark during a birds-of-a-feather (BOF) gathering at the recent Supercomputing conference. Similar to...

Results 51–75 of 482