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Graham Bennett Harper
Staff Page • Computational Mathematics. Biography Graham's primary interests are fluid problems, finite element discretizations, multiscale, and multigrid methods. Education PhD in Mathematics - Colorado State UniversityAdvisor: James LiuCommittee: Wolfgang Bangerth, Stephen Guzik, Simon Tavener, Yongcheng ZhouBS in Mathematics - Colorado State University-PuebloMinors: Industrial Engineering, Honors, Leadership Studies Publications

High-Accuracy Calculations of 2-D Semiconductor, Phosphorene
News Article, May 1, 2016 • Luke Shulenburger (1641) and Andrew Baczewski (1425) Recently, we published work in Nano Letters (Impact Factor 13.592) detailing the results of quantum Monte Carlo (QMC) calculations from our BES-funded investigation of the properties of phosphorene, a single-layer form of black phosphorus [1]. Black phosphorus is a layered form of phosphorus...
Left: Charge reorganization induced by interaction of black phosphorus layers. Right: Large qualitative differences in charge transfer between DFT predictions and QMC (red).

Hobbes – Extreme-Scale Operating Systems Project
Project • Hobbes was a Sandia-led collaboration between four national laboratories and eight universities supported by the DOE Office of Science Advanced Scientific Computing Research program office. The goal of this three-year project was to deliver an operating system for future extreme-scale parallel computing platforms that will address the major technical challenges of energy...

HPC Resource Allocation
Project • HPC resource allocation consists of a pipeline of methods by which distributed-memory work is assigned to distributed-memory resources to complete that work. This pipeline spans both system and application level software. At the system level, it consists of scheduling and allocation. At the application level, broadly speaking, it consists of...

IDEAS PSE Computational Platform Wins 2020 R&D 100 Award
News Article, January 1, 2021 • The IDAES Integrated Platform is a comprehensive set of open-source Process Systems Engineering (PSE) tools supporting the design, modeling, and optimization of advanced process and energy systems. By providing rigorous equation-oriented modeling capabilities, IDAES helps energy and process companies, technology developers, academic researchers, and the DOE to design, develop, scale-up,...
IDAES Integrated Platform

Improving Application Resilience to Memory Errors with Lightweight Compression
News Article, January 1, 2017 • Researchers at Sandia National Laboratories have developed an application-independent library that can dramatically improve application performance by transparently correcting detected uncorrectable memory errors using lightweight compression mechanisms.   Resilience to memory errors is identified by the Department of Energy (DOE) as a key challenge for next-generation, extreme-scale systems.  Future systems are...
Application speedup over current checkpoint-based approaches using lightweight compression to protect against memory errors for a range of failure rates from 30 minute to 2 hour Mean Time to Interrupt (MTTI).

In situ visualization on the Mutrino Trinity Platform
News Article, April 1, 2016 • Sandia visualization researchers have collaborated with engineers from Sandia’s SIERRA Toolkit-based Nalu low Mach flow code team to integrate the ParaView/Catalyst in situ visualization library with the Nalu code.  In situ visualization allows parallel simulations to perform analysis and visualization at run time in order to avoid lengthy I/O operations...
Figure: Fine-grained, scalable 3-d simulation of a wind turbine airfoil using Nalu with ParaView/Catalyst for in situ visualization. Image shows z-velocity on a slice and vorticity in close-ups of the leading and trailing edge of the airfoil.

Inside HPC – ARM HPC Panel with CCR Researcher Kevin Pedretti
News Article, September 1, 2017 •  The HPC news blog insideHPC recently posted a video of a panel session from the ARM Research Summit held in Cambridge, UK. The panel, “ARM in HPC – Software and Hardware Differentiation and Direction for Exascale and Beyond,” included CCR researcher Kevin Pedretti as well as other HPC leaders from...
Inside HPC

Inside HPC – MUG Keynote Featuring CCR Researcher Ron Brightwell
News Article, September 1, 2017 • The HPC news blog insideHPC recently posted a video of a keynote talk at the MVAPICH User Group Meeting given by CCR researcher Ron Brightwell. The keynote, entitled “Challenges and Opportunities for HPC Interconnects and MPI,” examines challenges created directly by hardware diversity as well as indirectly by alternative parallel...
Inside HPC

Institute for the Design of Advanced Energy Systems (IDAES)
Project • Transforming and decarbonizing the world’s energy systems to make them environmentally sustainable while maintaining high reliability and low cost is a task that requires the very best computational and simulation capabilities to examine a complete range of technology options, ensure that the best choices are made, and to support their...

Internships in the Center for Computing Research
Page • There are many potential pathways to being an intern in the CCR. Students have been hired through the following programs (and more): Computer Science Research Institute Summer ProgramMathematics and Analytics Research Technical Internship for Advanced National Security (MARTIANS)Sustainable Horizons Institute Sustainable Research Pathways ProgramNational Nuclear Security Administration Minority Serving Institutions...

Investigating Arctic Climate Variability with Global Sensitivity Analysis of Low-resolution E3SM.
News Article, January 1, 2021 •  As a first step in quantifying uncertainties in simulated Arctic climate response, Sandia researchers have performed a global sensitivity analysis (GSA) using a fully coupled ultralow-resolution configuration of the Energy Exascale Earth System Model (E3SM).  Coupled Earth system models are computationally expensive to run, making it difficult to generate the...
Ultra-low atmosphere grid (left) and ultra-low ocean grid (right).

James Aimone
Staff Page • Cognitive & Emerging Computing. Biography Dr. Brad Aimone is a Distinguished Member of Technical Staff in the Center for Computing Research at Sandia National Laboratories, where he is a lead researcher in leveraging computational neuroscience to advance artificial intelligence and in using neuromorphic computing platforms for future scientific computing applications....

James Brian Carleton
Staff Page • Computational Multiphysics. Biography I am a Senior Member of Technical Staff in the Computational Multiphysics Department. I work in both analyst and developer roles on the ALEGRA team.My background is in computational solid mechanics, and my main areas of interest center around computational modeling of multiphysics and multiscale systems and...

James G. Foucar
Staff Page • Software Engineering & Research. Biography James Foucar is currently an employee of Sandia National Labs working as a software developer. He has a wide variety of experience in the computing field: he spent time in academia, worked for many years as an intern at Sandia, and worked as a full-time...

James H. Laros
Staff Page • Scalable Computer Architecture. Biography James H. Laros III is a Distinguished Member of Technical staff at Sandia National Laboratories. Over his more than 30-year career to date, James has served the United States of America in a number of capacities beginning with four years active duty in the United States...
James_Laros

James R. Stewart
Staff Page • Computing Research. Biography Since March 2022, Jim has served as the Acting Director of Sandia’s Center for Computing Research. From 2017-2022, he served as the Senior Manager of the Computational Sciences and Math Group, and previously served as Manager of the Optimization and Uncertainty Quantification Department and the Advanced Computational...

Jan Ciesko
Staff Page • Scalable Algorithms. Biography Jan Ciesko is a Senior Member of Technical Staff at Sandia National Laboratories in the scalable algorithms group. He holds a master’s degree in computer science from Friedrich-Alexander Universität in Germany and a Ph.D. from Universitat Politècnica de Catalunya (BarcelonaTech) in Spain. Jan works on programmability and...

Jennifer Ann Loe
Staff Page • Scalable Algorithms. Biography Jennifer Loe is a Senior Member of Technical Staff at Sandia National Laboratories.  She completed her Ph.D. in mathematics at Baylor University in December 2019.  In January 2020, she became a postdoc in the Scalable Algorithms department at Sandia and converted to full staff in February 2022. ...

Jesse James Lutz
Staff Page • Senior Member of Technical Staff. Biography Physical scientist interested in software development and high-throughput, high-performance computing for government-sponsored research in quantum chemistry and materials science. While always curious about exploring new areas of science, my record of publications documents a deep and diverse expertise in atomistic simulations. I am currently...
Results 201–225 of 482