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Titolo:
EXTENSIONS TO PERMUTATION WARPING FOR PARALLEL VOLUME RENDERING
Autore:
WITTENBRINK CM;
Indirizzi:
HEWLETT PACKARD LABS PALO ALTO CA 94304
Titolo Testata:
Parallel computing
fascicolo: 9-10, volume: 24, anno: 1998,
pagine: 1385 - 1406
SICI:
0167-8191(1998)24:9-10<1385:ETPWFP>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Keywords:
SIMD; MIMD; MASPAR; VOLUME VISUALIZATION; PARALLEL ALGORITHMS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
24
Recensione:
Indirizzi per estratti:
Citazione:
C.M. Wittenbrink, "EXTENSIONS TO PERMUTATION WARPING FOR PARALLEL VOLUME RENDERING", Parallel computing, 24(9-10), 1998, pp. 1385-1406

Abstract

Biomedical volume visualization requires high quality and high performance, but the existing high performance solutions such as the Shear Warp algorithm, 3D texture mapping, and special purpose hardware have problems. Permutation warping achieves high fidelity for biomedical datasets of regular rectilinear volumes, using a one-to-one communicationscheme for optimal O(1) communication on massively parallel computers. Extensions are presented including data dependent optimizations using octrees, arbitrary view angle flexibility, and multiple instruction stream multiple data stream (MIMD) implementation. A MasPar MP-2, single instruction stream multiple data stream (SIMD) (16,384 processor), implementation achieves 14 frames/s, using trilinear reconstruction on128(3) volumes for 400% runtime improvement over our previous result. A Proteus MIMD (32 processor) implementation achieves 1 frame/s on the same data. Additionally the PermWeb software architecture is presented, that has been shown as a proof of concept means to provide wide shared access to a powerful centralized renderer. All of these improvements make permutation warping an effective solution for biomedial volume visualization. (C) 1998 Elsevier Science B.V. All rights reserved.

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Documento generato il 02/04/20 alle ore 17:32:29