Article

Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis

Authors:

Patrick S. McCormick,

James P. Ahrens,

Charles Hansen,

Greg RothAuthors Info & Claims

VIS '04: Proceedings of the conference on Visualization '04

Pages 171 - 178

https://doi.org/10.1109/VISUAL.2004.95

Published: 10 October 2004 Publication History

Abstract

Quantitative techniques for visualization are critical to the successful analysis of both acquired and simulated scientific data. Many visualization techniques rely on indirect mappings, such as transfer functions, to produce the final imagery. In many situations, it is preferable and more powerful to express these mappings as mathematical expressions, or queries, that can then be directly applied to the data. In this paper, we present a hardware-accelerated system that provides such capabilities and exploits current graphics hardware for portions of the computational tasks that would otherwise be executed on the CPU. In our approach, the direct programming of the graphics processor using a concise data parallel language, gives scientists the capability to efficiently explore and visualize data sets.

References

[1]

{1} G. Abram and L. Treinish. An extended data-flow architecture for data analysis and visualization. In In Proceedings of Visualization '95, pages 263-270. IEEE CS, October 1995.

Digital Library

[2]

{2} ATI. ATI Technologies Inc. http://www.ati.com, 2004.

[3]

{3} Jeff Bolz, Ian Farmer, Eitan Grinspun, and Peter Schröder. Sparse matrix solvers on the gpu: Conjugate gradients and multigrid. ACM Transactions on Graphics, 22(3):917-924, July 2003.

Digital Library

[4]

{4} Ian Buck, Tim Foley, Daniel Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, and Pat Hanrahan. Brook for GPUs: Stream computing on graphics hardware. ACM Transactions on Graphics - SIGGRAPH 2004, to appear, 2004.

Digital Library

[5]

{5} Brian Cabral, Nancy Cam, and Jim Foran. Accelerated Volume Rendering and Tomographic Reconstruction Using Texture Mapping Hardware. In ACM Symposium On Volume Visualization, 1994.

Digital Library

[6]

{6} J. K. Dukowicz, R. D. Smith, and R. C. Malone. A reformulation and implementation of the Bryan-Cox-Semtner ocean model on the Connection Machine. J. Atmos. Ocean. Tech., 10:195-208, 1993.

[7]

{7} Nolan Goodnight, Cliff Woolley, Gregory Lewin, David Luebke, and Greg Humphreys. A multigrid solver for boundary value problems using programmable graphics hardware. In Graphics Hardware 2003, pages 102-111, July 2003.

Digital Library

[8]

{8} Mark Harris. General-Purpose Computation Using Graphics Hard-ware. http://www.gpgpu.org, 2004.

[9]

{9} T.J. Jankun-Kelly and Kwan-Liu Ma. Visualization exploration and encapsulation via a spreadsheet-like interface. IEEE Transactions on Visualization and Computer Graphics, 7(3):275-287, 2001.

Digital Library

[10]

{10} C. Johnson, S. Parker, and D. Weinstein. Large-scale computational science applications using the SCIRun problem solving environment. In In Proceedings of Supercomputing 2000, pages 263-270. IEEE CS, November 2000.

[11]

{11} Joe Kniss, Gordon Kindlmann, and Charles Hansen. Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets. In Preceedings of IEEE Visualization 2001, pages 255-262, 2001.

Digital Library

[12]

{12} Joe Kniss, Gordon Kindlmann, and Charles Hansen. Multi-dimensional transfer functions for interactive volume rendering. IEEE Transactions on Visualization and Computer Graphics, 8(3):270-285, 2002.

Digital Library

[13]

{13} Jens Krüger and Rüdiger Westermann. Linear algebra operators for GPU implementation of numerical algorithms. ACM Transactions on Graphics, 22(3):908-916, July 2003.

Digital Library

[14]

{14} A.E. Lefohn, J.M. Kniss, C.D. Hansen, and R. Whitaker. Interactive deformation and visualization of level set surfaces using graphics hardware. In IEEE Visualization 2003, pages 75-82, October 2003.

Digital Library

[15]

{15} Eric Lengyel. The OpenGL Extensions Guide. Charles River Media, Inc., 2003.

Digital Library

[16]

{16} William R. Mark, R. Steven Glanville, Kurt Akeley, and Mark J. Kilgard. Cg: A system for programming graphics hardware in a C-like language. ACM Transactions on Graphics, 22(3):896-907, July 2003.

Digital Library

[17]

{17} Mathworks. The Mathworks - Products - MATLAB. http://www.mathworks.com/products/matlab/, 2004.

[18]

{18} P. Moran and C. Henze. Large data visualization with demand-driven calculation. In In Proceedings of Visualization '99, pages 27-33. IEEE CS, October 1999.

Digital Library

[19]

{19} NVIDIA. NVIDIA Home. http://www.nvidia.com, 2004.

[20]

{20} OpenDX. Open Visualization Data Explorer. http://www.opendx.org, 2004.

[21]

{21} Andrew Riffel, Aaron E. Lefohn, Kiril Vidimce, Mark Leone, and John D. Owens. Mio: Fast multipass partitioning via priority-based instruction scheduling. In Graphics Hardware 2004, August 2004.

Digital Library

[22]

{22} SCIRun. A Scientific Computing Problem Solving Environment. Scientific Computing and Imaging Institute (SCI), http://software.sci.utah.edu/scirun.html, 2004.

[23]

{23} Thinking Machines Corporation. C^* User's Guide, June 1991.

[24]

{24} TSI. Terascale Supernova Initiative. http://www.phy.ornl.gov/tsi/, 2004.

[25]

{25} Orion Wilson, Allen Van Gelder, and Jane Wilhelms. Direct Volume Rendering via 3D Textures. Technical Report UCSC-CRL-94-19, University of California at Santa Cruz, June 1994.

Digital Library

[26]

{26} Wolfram Research. Mathematica: The Way the World Calculates. http://www.wolfram.com, 2004.

Cited By

Sisneros R(2015)A Feature-first Approach to Clustering for Highlighting Regions of Interest in Scientific DataProcedia Computer Science10.1016/j.procs.2015.05.49751:C(2207-2216)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1016/j.procs.2015.05.497
Gerl MRautek PIsenberg TGröLler E(2012)Technical SectionComputers and Graphics10.1016/j.cag.2011.10.00636:3(201-213)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1016/j.cag.2011.10.006
Rautek PBruckner SGröller M(2008)Interaction-dependent semantics for illustrative volume renderingProceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization10.1111/j.1467-8659.2008.01216.x(847-854)Online publication date: 26-May-2008
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Published In

cover image ACM Conferences

VIS '04: Proceedings of the conference on Visualization '04

October 2004

667 pages

ISBN:0780387880

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

IEEE Computer Society

United States

Publication History

Published: 10 October 2004

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Cited By

Sisneros R(2015)A Feature-first Approach to Clustering for Highlighting Regions of Interest in Scientific DataProcedia Computer Science10.1016/j.procs.2015.05.49751:C(2207-2216)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1016/j.procs.2015.05.497
Gerl MRautek PIsenberg TGröLler E(2012)Technical SectionComputers and Graphics10.1016/j.cag.2011.10.00636:3(201-213)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1016/j.cag.2011.10.006
Rautek PBruckner SGröller M(2008)Interaction-dependent semantics for illustrative volume renderingProceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization10.1111/j.1467-8659.2008.01216.x(847-854)Online publication date: 26-May-2008
https://dl.acm.org/doi/10.1111/j.1467-8659.2008.01216.x
Akibay HMay K(2007)A tri-space visualization interface for analyzing time-varying multivariate volume dataProceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization10.5555/2384179.2384198(115-122)Online publication date: 23-May-2007
https://dl.acm.org/doi/10.5555/2384179.2384198
Yamagiwa SSousa LAntão DBanerjee UMoreira JDubois MStenström P(2007)Data buffering optimization methods toward a uniform programming interface for gpu-based applicationsProceedings of the 4th international conference on Computing frontiers10.1145/1242531.1242562(205-212)Online publication date: 7-May-2007
https://dl.acm.org/doi/10.1145/1242531.1242562
Rautek PBruckner SGroller E(2007)Semantic Layers for Illustrative Volume RenderingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2007.7059113:6(1336-1343)Online publication date: 1-Nov-2007
https://dl.acm.org/doi/10.1109/TVCG.2007.70591
Fout NMa K(2007)Transform Coding for Hardware-accelerated Volume RenderingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2007.7051613:6(1600-1607)Online publication date: 1-Nov-2007
https://dl.acm.org/doi/10.1109/TVCG.2007.70516
Stockinger KBethel ECampbell SDart EWu KHorner-Miller B(2006)Detecting distributed scans using high-performance query-driven visualizationProceedings of the 2006 ACM/IEEE conference on Supercomputing10.1145/1188455.1188542(82-es)Online publication date: 11-Nov-2006
https://dl.acm.org/doi/10.1145/1188455.1188542
Blythe DFinnegan JDorsey J(2006)The Direct3D 10 systemACM SIGGRAPH 2006 Papers10.1145/1179352.1141947(724-734)Online publication date: 30-Jul-2006
https://dl.acm.org/doi/10.1145/1179352.1141947
Blythe D(2006)The Direct3D 10 systemACM Transactions on Graphics10.1145/1141911.114194725:3(724-734)Online publication date: 1-Jul-2006
https://dl.acm.org/doi/10.1145/1141911.1141947
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