Data categories. Computing: The Australian Theory Seminar (1996)

by C B Jay
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Exploiting Shape in Parallel Programming

by C. Barry Jay, C. Barry, Jay David, David G. Clarke, Jenny J. Edwards , 1996
"... Shape theory is a new approach to data types and programming based on the separation of a data type into its "shape" and "data" parts. Shape is common in parallel computing. This paper identifies areas where the explicit use of shape reduces the burden of programming a parallel computer, via the ..."
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Shape theory is a new approach to data types and programming based on the separation of a data type into its "shape" and "data" parts. Shape is common in parallel computing. This paper identifies areas where the explicit use of shape reduces the burden of programming a parallel computer, via the implementation of Cholesky decomposition. keywords: shape, parallel programming, error detection, Cholesky decomposition Abstract Shape theory is a new approach to data types and programming based on the separation of a data type into its "shape" and "data" parts. Shape is common in parallel computing. This paper identifies areas where the explicit use of shape reduces the burden of programming a parallel computer, via the implementation of Cholesky decomposition. 1