Parallel Thinning and Skeletonization using Orca
This report describes the parallel implementation of the thinning and skeletonization problem, an image processing application from the Cowichan problem set. The problem was implemented in Orca, an Algol-like language supporting distributed shared memory, and executed on a dedicated pool of 80 SPARC...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.48.3254 2023-05-15T17:53:08+02:00 Parallel Thinning and Skeletonization using Orca Rudolf S. De Boer The Pennsylvania State University CiteSeerX Archives 1994 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.3254 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.3254 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://ftp.cs.vu.nl/pub/bal/cowichan/Image/report.ps.Z text 1994 ftciteseerx 2016-01-08T07:49:21Z This report describes the parallel implementation of the thinning and skeletonization problem, an image processing application from the Cowichan problem set. The problem was implemented in Orca, an Algol-like language supporting distributed shared memory, and executed on a dedicated pool of 80 SPARC processors connected by an Ethernet. The author's experiences of programming in Orca, and the results obtained for the two phases of this problem, are described. 1 Introduction Parallelism offers high performance, but programming parallel systems is difficult. One reason for this is that parallel programmers have to worry about more things than sequential programmers, such as synchronization and data consistency. For the potential of parallelism to be realized, parallel programming systems which are as easy to use as their sequential counterparts, must be developed. This report discusses an investigation of the use of Orca, a language offering distributed shared memory, to parallelize . Text Orca Unknown |
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English |
description |
This report describes the parallel implementation of the thinning and skeletonization problem, an image processing application from the Cowichan problem set. The problem was implemented in Orca, an Algol-like language supporting distributed shared memory, and executed on a dedicated pool of 80 SPARC processors connected by an Ethernet. The author's experiences of programming in Orca, and the results obtained for the two phases of this problem, are described. 1 Introduction Parallelism offers high performance, but programming parallel systems is difficult. One reason for this is that parallel programmers have to worry about more things than sequential programmers, such as synchronization and data consistency. For the potential of parallelism to be realized, parallel programming systems which are as easy to use as their sequential counterparts, must be developed. This report discusses an investigation of the use of Orca, a language offering distributed shared memory, to parallelize . |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Rudolf S. De Boer |
spellingShingle |
Rudolf S. De Boer Parallel Thinning and Skeletonization using Orca |
author_facet |
Rudolf S. De Boer |
author_sort |
Rudolf S. De Boer |
title |
Parallel Thinning and Skeletonization using Orca |
title_short |
Parallel Thinning and Skeletonization using Orca |
title_full |
Parallel Thinning and Skeletonization using Orca |
title_fullStr |
Parallel Thinning and Skeletonization using Orca |
title_full_unstemmed |
Parallel Thinning and Skeletonization using Orca |
title_sort |
parallel thinning and skeletonization using orca |
publishDate |
1994 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.3254 |
genre |
Orca |
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Orca |
op_source |
ftp://ftp.cs.vu.nl/pub/bal/cowichan/Image/report.ps.Z |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.3254 |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766160859072036864 |