Abstract
One of the challenges in scientific visualization is to generate software libraries suitable for the large-scale data emerging from tera-scale simulations and instruments. We describe the efforts currently under way at SDSC and NPACI to address these challenges.
The scope of the SDSC project spans data handling, graphics, visualization, and scientific application domains Components of the research focus on the following areas: intelligent data storage, layout and handling, using an associated “Floor-Plan” (meta data); performance optimization on parallel architectures; extension of SDSC’s scalable, parallel, direct volume renderer to allow perspective viewing; and interactive rendering of fractional images (“imagelets”), which facilitates the examination of large datasets.
These concepts are coordinated within a data-visualization pipeline, which operates on component data blocks sized to fit within the available computing resources. A key feature of the scheme is that the meta data, which tag the data blocks, can be propagated and applied consistently. This is possible at the disk level, in distributing the computations across parallel processors; in “imagelet” composition; and in feature tagging.
The work reflects the emerging challenges and opportunities presented by the ongoing progress in high-performance computing (HPC) and the deployment of the data, computational, and visualization Grids.
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References
The ATOC Group. The general circulation and heat budget of the North Pacific Ocean from satellite altimetry, acoustic tomography, and a general circulation model. Science, 281:1327–1332, 1998.
S. B. Baden and S. J. Fink. Communication overlap in multi-tier parallel algorithms. In SC ’98 Proceedings, Orlando, FL, 1998.
M. J. Bailey. Feature detection in large data sets by volume binary cutting. To be published in 2000.
C. Bajaj, V. Pascucci, and D. Schikore. Data Visualization Techniques, chapter Accelerated IsoContouring of Scalar Fields. John Wiley & Sons, 1998. < http://www.ticam.utexas.edu/CCV/>.
C. Baru, R. Moore, A. Rajasekar, and M. Wan. The SDSC storage resource broker. In CASCON’98 Conference Proceedings, Toronto, Canada, 1998. <http://www.npaci.edu/DICE/>.
R. Bennett, K. Bryant, A. Sussman, R. Das, and J. Saltz. Jovian: A framework for optimizing parallel I/O. In 1994 Scalable Parallel Libraries Conference Proceedings, pages 10–20. IEEE Computer Society Press, 1994.
R. Ferreira, T. Kure, M. Beynon, C. Chang, A. Sussman, and J. Saltz. Object-relational queries into multi-dimensional databases with the active data repository. To appear in the Int. J. Supercomputer Applications and High-Performance Computing in 1999.
S. J. Fink, S. R. Kohn, and S. B. Baden. Efficient run-time support for irregular block-structured applications. Journal of Parallel and Distributed Computing, 50(1–2):61–82, 1998.
J. C. Freytag, D. Maier, and G. Vossen, editors. Query Processing for Advanced Database Systems. Morgan Kaufmann Publishers, San Mateo, CA, 1994.
J. Genetti and G. Johnson. MPIRE: Massively Parallel Interactive Rendering Environment, 1999. <http://mpire.sdsc.edu/>.
J. Gray, A. Bosworth, A. Layman, and H. Pirahesh. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. In 1996 International Conference on Data Engineering Proceedings, pages 152–159. IEEE Computer Society Press, 1996.
Hayden Planetarium. On the Web, 1999. <http://www.amnh.org/>.
J. Howe, T. Grimmett, S. B. Baden, and K. K. Nomura. Modernization of legacy application software. In Applied Parallel Computing: Large Scale Scientific and Industrial Problems, volume 1541 of Lecture Notes in Computer Science. PARA’98, Springer-Verlag, 1998.
J. Jeong and F. Hussain. On the identification of a vortex. J. Fluid Mech., 285:69–94, 1995.
G. Johnson and J. Genetti. Volume rendering of large datasets on the Cray T3D. In Cray Users Group Proceedings, pages 155–159, 1996.
S. R. Kohn, J. H. Weare, E. M. G. Ong, and S. B. Baden. Software abstractions and computational issues in parallel structured adaptive mesh methods for electronic structure calculations. In Workshop on Structured Adaptive Mesh Refinement Grid Methods. Springer-Verlag, 1997.
T. Kurc, C. Chang, R. Ferreira, A. Sussman, and J. Saltz. Querying very large multi-dimensional datasets in ADR. Technical Report in SC’99 Proceedings CS-TR-4022 & UMIACS-TR-99–29, University of Maryland, Dept. Computer Science, Portland, OR, 1999.
B. Moon and J. H. Saltz. Scalability analysis of declustering methods for multidimensional range queries. IEEE Transactions on Knowledge and Data Engineering, 10(2):310–327, March-April 1998.
D. R. Nadeau. Space-time expressions for visualization of large-scale data. To be published in 2000.
K. K. Nomura and G. K. Post. The structure and dynamics of vorticity and rate of strain in incompressible homogeneous turbulence. J. Fluid Mech., 377:65–97, 1998.
C. R. O’Dell and S. K. Wong. Hubble space telescope mapping of the Orion Nebula. Astrophys. J., 111:846–855, 1996.
J. Rantakokko. Comparison of partitioning strategies for PDE solvers on multi-block grids. In Applied Parallel Computing: Large Scale Scientific and Industrial Problems, volume 1541 of Lecture Notes in Computer Science. PARA’98, Springer-Verlag, 1998.
E. M. Santori and A. W. Toga. Superpositioning of 3D neuroanatomic datasets.J. Neurosci. Methods, pages 187–196, 1994.
D. Stammer Global characteristics of ocean variability from regional TOPEX/POSEIDON altimeter measurements. J. Phys. Oceanogr., 27:17431769, 1997.
A. W. Toga and J. C. Maziotta. Brain Mapping: The Methods. Academic Press, 1996.
J. D. Ullman. Principles of Database and Knowledge-Base Systems, volume II, pages 633–733. Computer Science Press, 1989.
Z. Wen and C. R. O’Dell. A 3-D geometric model of the Orion Nebula. Astrophys. J., 438:784–793, 1995.
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Pailthorpe, B.A., Bordes, N. (2000). Scalable Visualization of Galaxies, Oceans, and Brains. In: Engquist, B., Johnsson, L., Hammill, M., Short, F. (eds) Simulation and Visualization on the Grid. Lecture Notes in Computational Science and Engineering, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57313-2_14
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DOI: https://doi.org/10.1007/978-3-642-57313-2_14
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