Parallel computing with block-iterative image reconstruction algorithms (Q803769)
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scientific article; zbMATH DE number 4201567
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Parallel computing with block-iterative image reconstruction algorithms |
scientific article; zbMATH DE number 4201567 |
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Parallel computing with block-iterative image reconstruction algorithms (English)
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1991
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The image reconstruction problem consists of maximizing the entropy function subject to linear equality constraints with a block structure. Proceeding from a special block-iterative algorithm based on optimality criteria, several vectorization and parallelization procedures are investigated. In particular parallelism within a block, and with independent blocks is tested. Numerical examples are taken from image reconstruction of a head section with up to 1024\(\times 1024\) variables. The results show a dramatic improvement of calculation time on a CRAY X- MP compared to a SUN-3 workstation.
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large scale optimization
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parallel computing
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image reconstruction
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entropy function
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block-iterative algorithm
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vectorization
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parallelization
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Numerical examples
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