Efficient parallel computation of projections for animated volume visualization

Tung Kuang Wu; M. L. Brady

doi:10.1109/ICPP.1994.102

Efficient parallel computation of projections for animated volume visualization

Tung Kuang Wu, M. L. Brady

Department of Information Management

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, we parallelize a new efficient approximate projection algorithm for volume rendering. The algorithm is unique in that it computes N different views simultaneously, much faster than these projections could be computed independently. It is thus ideal for computing animated sequences of views. We implement and evaluate the algorithm on a MasPar MP-1. We render a 128x128x128 data set at up to 21 frames per second average on a 1K PE MasPar MP-1 using gray scale volumetric compositing (simpler transformations are computed even faster).

Original language	English
Article number	5727827
Pages (from-to)	III39-III42
Journal	Proceedings of the International Conference on Parallel Processing
Volume	3
DOIs	https://doi.org/10.1109/ICPP.1994.102
Publication status	Published - 1994
Event	23rd International Conference on Parallel Processing, ICPP 1994 - Raleigh, NC, United States Duration: 1994 Aug 15 → 1994 Aug 19

All Science Journal Classification (ASJC) codes

Software
Mathematics(all)
Hardware and Architecture

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10.1109/ICPP.1994.102

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abstract = "In this paper, we parallelize a new efficient approximate projection algorithm for volume rendering. The algorithm is unique in that it computes N different views simultaneously, much faster than these projections could be computed independently. It is thus ideal for computing animated sequences of views. We implement and evaluate the algorithm on a MasPar MP-1. We render a 128x128x128 data set at up to 21 frames per second average on a 1K PE MasPar MP-1 using gray scale volumetric compositing (simpler transformations are computed even faster).",

author = "Wu, {Tung Kuang} and Brady, {M. L.}",

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AU - Brady, M. L.

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AB - In this paper, we parallelize a new efficient approximate projection algorithm for volume rendering. The algorithm is unique in that it computes N different views simultaneously, much faster than these projections could be computed independently. It is thus ideal for computing animated sequences of views. We implement and evaluate the algorithm on a MasPar MP-1. We render a 128x128x128 data set at up to 21 frames per second average on a 1K PE MasPar MP-1 using gray scale volumetric compositing (simpler transformations are computed even faster).

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