Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence

CiSE
2009
Issue No. 2 - March/April
Abstract - Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence

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	Similar Articles Articles by George Stantchev Articles by Derek Juba Articles by William Dorland Articles by Amitabh Varshney

March/April 2009 (vol. 11 no. 2)

pp. 52-59

	ASCII Text	x
	George Stantchev, Derek Juba, William Dorland, Amitabh Varshney, "Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence," Computing in Science and Engineering, vol. 11, no. 2, pp. 52-59, March/April, 2009.

	BibTex	x
	@article{ 10.1109/MCSE.2009.42, author = {George Stantchev and Derek Juba and William Dorland and Amitabh Varshney}, title = {Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence}, journal ={Computing in Science and Engineering}, volume = {11}, number = {2}, issn = {1521-9615}, year = {2009}, pages = {52-59}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2009.42}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - Computing in Science and Engineering TI - Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence IS - 2 SN - 1521-9615 SP52 EP59 EPD - 52-59 A1 - George Stantchev, A1 - Derek Juba, A1 - William Dorland, A1 - Amitabh Varshney, PY - 2009 KW - GPU programming KW - scientific computing KW - direct numerical simulation KW - plasma turbulence KW - graphics processing unit VL - 11 JA - Computing in Science and Engineering ER -

George Stantchev, University of Maryland, College Park

Derek Juba, University of Maryland, College Park

William Dorland, University of Maryland, College Park

Amitabh Varshney, University of Maryland, College Park

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2009.42

Direct numerical simulation (DNS) of turbulence is computationally intensive and typically relies on some form of parallel processing. Spectral kernels used for spatial discretization are a common computational bottleneck on distributed memory architectures. One way to increase DNS algorithms' efficiency is to parallelize spectral kernels using tightly coupled single-program, multiple-data (SPMD) multiprocessor units with minimal interprocessor communication latency. 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 processors. The article compares the performance between the authors' parallel algorithm running on a GPU versus the associated CPU implementation of a solver for one of the fundamental nonlinear models of turbulence theory. They also demonstrate a prototype of a scalable computational steering framework based on turbulence simulation and visualization coupling on the GPU.

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Index Terms:

GPU programming, scientific computing, direct numerical simulation, plasma turbulence, graphics processing unit

Citation:

George Stantchev, Derek Juba, William Dorland, Amitabh Varshney, "Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence," Computing in Science and Engineering, vol. 11, no. 2, pp. 52-59, Mar./Apr. 2009, doi:10.1109/MCSE.2009.42

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