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VISUALIZATION SERVICES ON THE GRID: THE GRID VISUALIZATION KERNEL

PAUL HEINZLREITER

GUP, Joh. Kepler University Linz, Altenbergerstr. 69, A-4040 Linz, Austria/Europe, Austria

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DIETER KRANZLMÜLLER

GUP, Joh. Kepler University Linz, Altenbergerstr. 69, A-4040 Linz, Austria/Europe, Austria

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https://doi.org/10.1142/S0129626403001203Cited by:16 (Source: Crossref)

Abstract

Two important tools of today's science and engineering are computational grids and visualization. While grid infrastructures offer a means to process large amounts of data across different, possibly distant resources, visualization aids in understanding the meaning of data. The Grid Visualization Kernel (GVK) addresses the connection of grid applications and visualization clients on the grid. The visualization capabilities of GVK are provided as flexible grid services via dedicated interfaces and protocols, while GVK itself relies on Globus services to implement the functionality of the visualization pipeline. This paper describes the concept of GVK and its core functionality for grid visualization services, and discusses how to use visualization in the grid environment.

The Grid Visualization Kernel (GVK) described in this paper is partially supported by the IST Programme of the European Commission under contract number IST-2001-32243.

Keywords:

References

M. Aeschlimannet al., Preliminary Report on the Design of a Framework for Distributed Visualization, Proc. PDPTA '99 (1999) pp. 1833–1839. Google Scholar
H. Afsarmaneshet al., Scientific Programming Journal 10(2), 173 (2002). Crossref, Web of Science, Google Scholar
D. Arnold, S. Agrawal, S. Blackford, J. Dongarra, M. Miller, K. Seymour, K. Sagi, Z. Shi, and S. Vadhiyar: Users' Guide to NetSolve V1.4.1, Technical Report ICL-UT-02-05, Innovative Computing Laboratory, University of Tennessee, Knoxville, TN, USA, June 2002 . Google Scholar
, GASS: A Data Movement and Access Service for Wide Area Computing Systems , Sixth Workshop on I/O in Parallel and Distributed Systems . Google Scholar
I. Buck, G. Humphreys and P. Hanrahan, Tracking graphics state for networked rendering, Proc. of SIGGRAPH/Eurographics Workshop on Graphics Hardware (2000) pp. 87–95. Google Scholar
K. Czajkowskiet al., A Resource Management Architecture for Metacomputing Systems, Proc. IPPS/SPDP '98 Workshop on Job Scheduling Strategies for Parallel Processing (1998) p. 6282. Google Scholar
K. Czajkowski et al. , Grid Information Services for Distributed Resource Sharing , Proc. Tenth IEEE International Symposium on High-Performance Distributed Computing (HPDC-10) ( IEEE Press , 2001 ) . Google Scholar
I. Fosteret al., IEEE Computer Magazine 32(12), 36 (1999). Crossref, Web of Science, Google Scholar
I. Foster and C. Kesselman, Intl. Journal of Supercomputer Applications 11(2), 4 (1997). Google Scholar
I. Foster and C. Kesselman , The Grid. Blueprint for a New Computing Infrastructure ( Morgan Kaufmann Publishers, Inc. , 1999 ) . Google Scholar
I. Foster, C. Kesselman and S. Tuecke, International Journal of Supercomputer Applications 15(3), (2001), DOI: 10.1177/109434200101500302. Google Scholar
I. Foster et al. , The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration , Open Grid Service Infrastructure WG, Global Grid Forum . Google Scholar
G. A. Geist , J. A. Kohl and P. M. Papadopoulos , CUMULVS: Providing Fault-Tolerance, Visualization and Steering of Parallel Applications , Environment and Tools for Parallel Scientific Computing Workshop . Google Scholar
R. B. Haber and D. A. McNabb: Visualization Idioms: A Conceptual Model for Scientific Visualization Systems, In [18], pp. 74–93, 1990 . Google Scholar
P. Heinzlreiteret al., Interactive Virtual Reality Volume Visualization on the Grid, Proc. DAPSYS 2002 (2002) pp. 90–97. Google Scholar
G. Humphreyset al., Chromium: a stream-processing framework for interactive rendering on clusters, Proc. SIGGRAPH 2002 (San Antonio, Texas, 2002) pp. 693–702. Google Scholar
D. Kranzlmüller et al. , Optimizations in the Grid Visualization Kernel , Proc. PDIVM 2002, Workshop on Parallel and Distributed Computing in Image Processing, Video Processing and Multimedia, IPDPS 2002 Symposion . Google Scholar
G. M. Nielson , B. Shriver and L. J. Rosenblum (eds.) , Visualization in Scientific Computing ( IEEE Computer Society Press , Los Alamitos, NM, USA , 1990 ) . Google Scholar