@article {17916,
	title = {Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence},
	journal = {Computing in Science Engineering},
	volume = {11},
	year = {2009},
	month = {2009/04//march},
	pages = {52 - 59},
	abstract = {Direct numerical simulation (DNS) of turbulence is computationally intensive and typically relies on some form of parallel processing. The authors present techniques to map DNS computations to modern graphics processing units (GPUs), which are characterized by very high memory bandwidth and hundreds of SPMD (single-program-multiple-data) processors.},
	keywords = {analysis;parallel, computation;parallel, computing;numerical, direct, engineering, numerical, PROCESSING, processing;plasma, processors;data, simulation;graphics, systems;nuclear, turbulence, turbulence;, units;high-performance, visualisation;multiprocessing, visualization;single-program-multiple-data},
	isbn = {1521-9615},
	doi = {10.1109/MCSE.2009.42},
	author = {Stantchev,G. and Juba,D. and Dorland,W. and Varshney, Amitabh}
}
@article {17932,
	title = {Confluent Volumetric Visualization of Gyrokinetic Turbulence},
	journal = {Plasma Science, IEEE Transactions on},
	volume = {36},
	year = {2008},
	month = {2008/08//},
	pages = {1112 - 1113},
	abstract = {Data from gyrokinetic turbulence codes are often difficult to visualize due their high dimensionality, the nontrivial geometry of the underlying grids, and the vast range of spatial scales. We present an interactive visualization framework that attempts to address these issues. Images from a nonlinear gyrokinetic simulation are presented.},
	keywords = {flow;plasma, geometry;plasma, gyrokinetic, simulation;nontrivial, simulation;plasma, turbulence;, turbulence;nonlinear, turbulence;volumetric, visualisation;plasma, visualization;flow},
	isbn = {0093-3813},
	doi = {10.1109/TPS.2008.924509},
	author = {Stantchev,G. and Juba,D. and Dorland,W. and Varshney, Amitabh}
}
