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High Performance Computing and Visualization

We develop innovative tools and techniques for scientific visualization and high performance computing to advance measurement science.

The group develops novel algorithms and implementations for parallel and distributed computation in a variety of hardware environments. Researchers create innovative techniques for immersive scientific visualization in a variety of local and distributed hardware environments. They also develop and utilize techniques and tools of mathematical analysis, parallel and distributed computing, and visualization to improve measurement science, including the extension of traditional measurement science to the virtual world. Lastly, the group contributes to the development of scientific applications at NIST through multidisciplinary collaborative projects.

 

 

Visualization of a mathematical model of the flow of concrete with interactive controls
Visualization of a mathematical model of the flow of concrete with interactive controls

 

News and Updates

Projects and Programs

High Performance Computing

Our High Performance Computing (HPC) program enables work on challenging problems that are beyond the capacity and capability of desktop computing resources

Visualization

ITL researchers realize that visualization of scientific data can provide an understanding of the phenomenon or data being studied. Visualization can be

Publications

Auto-tuning of double dot devices it in situ with machine learning

Author(s)
Justyna P. Zwolak, Thomas McJunkin, Sandesh Kalantre, J. P. Dodson, E. R. MacQuarrie, D. E. Savage, M. G. Lagally, S N. Coppersmith, Mark A. Eriksson, Jacob M. Taylor
The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time- consuming procedure that is inherently impractical for

Compressed Volume Rendering using Deep Learning

Author(s)
Wesley N. Griffin, Afzal A. Godil, Jeffrey W. Bullard, Judith E. Terrill, Amitabh Varshney, Somay Jain
Scientific simulations often generate large amounts of multivariate time varying volumetric data. Visualizing these volumes is essential for understanding the

Software

HEV: High End Visualization

We have developed a virtual measurement and analysis laboratory in a 3D immersive virtual environment using a CAVE hardware configuration and a software

OpenSceneGraph Multi-card Scaling Test

We have observed a problem with OpenSceneGraph (OSG) in which parallel, multi-threaded, applications do not scale properly to multiple graphics cards. The

Contacts