SEARCH · Search NASA
Results for “Simulator”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Engineering Vibrationally Assisted Energy Transfer in a Trapped-Ion Quantum Simulator
Not Available
Towards Extreme-scale Simulations with Next-Generation Trilinos: a low Mach application case study.
Abstract not provided.
Integrated Stochastic Weather and Production Simulation Modeling
Abstract not provided
Decision Tree Ensemble Machine Learning for Rapid QSTS Simulations.
Abstract not provided.
Large-Scale Simulations of Sky Surveys
Explore the source record for details and available documents.
High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration
Explore the source record for details and available documents.
Steady-State Modeling and Simulation of a Distribution Feeder with Distributed Energy Resources in a Real-Time Digital Simulation Environment
Abstract not provided
High-Performance Molecular Dynamics Simulation for Biological and Materials Sciences: Challenges of Performance Portability, Dallas, TX, November 2018.
Highly-optimized parallel molecular dynamics programs have allowed researchers to achieve ground-breaking results in biological and materials sciences. This type of performance has come at the expense of portability: a significant effort is required for performance optimization on each new architecture. Using a metric that emphasizes speedup, we assess key accelerating programming components of four different best-performing molecular dynamics programs - GROMACS, NAMD, LAMMPS and CP2K-- each having a particular scope of application, for contribution to performance and for portability. We use builds with and without these components, tested on HPC systems. We also analyze the code-bases to determine compliance with portability recommendations. We find that for all four programs, the contributions of the non-portable components to speed are essential to the programs' performances; without them we see a reduction in time-to-solution of a magnitude that is insufferable to domain scientists. This characterizes the performance efficiency that must be approached for good performance portability on a programmatic level, suggesting solutions to this difficult problem, which should come from developers, industry and funding institutions, and possibly new research in programming languages.
Simulation Results for the Pacific DC Intertie Wide Area Damping Controller.
Abstract not provided.
Time Series Simulation of Voltage Regulation Device Controls.
Abstract not provided.
Simulated PV Power Plant Variability: Impact of Utility-imposed Ramp Limitations in Puerto Rico.
Abstract not provided.
A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with Var Control using Linear Sensitivity Model.
Abstract not provided.
Algorithms to Effectively Quantize Scenarios for PV Impact Analysis using QSTS Simulation.
Abstract not provided.
Visualization Methods for Quasi-Static Time-Series (QSTS) Simulations with High PV Penetration.
Abstract not provided.
Implementation of Temporal Parallelization for Rapid Quasi-Static Time-Series (QSTS) Simulations.
Abstract not provided.
High performance radiation transport simulations: Preparing for TITAN
In this paper we describe the Denovo code system. Denovo solves the six-dimensional, steady-state, linear Boltzmann transport equation, of central importance to nuclear technology applications such as reactor core analysis (neutronics), radiation shielding, nuclear forensics and radiation detection. The code features multiple spatial differencing schemes, state-of-the-art linear solvers, the Koch-Baker-Alcouffe (KBA) parallel-wavefront sweep algorithm for inverting the transport operator, a new multilevel energy decomposition method scaling to hundreds of thousands of processing cores, and a modern, novel code architecture that supports straightforward integration of new features. In this paper we discuss the performance of Denovo on the 20+ petaflop ORNL GPU-based system, Titan. We describe algorithms and techniques used to exploit the capabilities of Titan's heterogeneous compute node architecture and the challenges of obtaining good parallel performance for this sparse hyperbolic PDE solver containing inherently sequential computations. Numerical results demonstrating Denovo performance on early Titan hardware are presented.