1967
DOI: 10.1145/321406.321418
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The Organization of Computations for Uniform Recurrence Equations

Abstract: A set equations in the quantities a i ( p ), where i = 1, 2, · · ·, m and p ranges over a set R of lattice points in n -space, is called a system of uniform recurrence equations if the following property holds: If p and q are in … Show more

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Cited by 475 publications
(189 citation statements)
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“… No matter the future performance of one processor, it is impossible to have an unlimited increase of execution capacities and efficiency of the uniprocessor systems; [4], [5], [7]). As compared to other problems whose solutions were found more quickly, parallel programming has not yet managed to assert itself as a general method of design, implementation and execution of algorithms, at the level of groups of firms.…”
Section: Fig 1 Mother-firm Management and Subsidiaries Managementmentioning
confidence: 99%
“… No matter the future performance of one processor, it is impossible to have an unlimited increase of execution capacities and efficiency of the uniprocessor systems; [4], [5], [7]). As compared to other problems whose solutions were found more quickly, parallel programming has not yet managed to assert itself as a general method of design, implementation and execution of algorithms, at the level of groups of firms.…”
Section: Fig 1 Mother-firm Management and Subsidiaries Managementmentioning
confidence: 99%
“…The theory of dependency graphs has been discussed in [10]. These were later used ( [1]) in the design of systolic arrays.…”
Section: Dependency Graphsmentioning
confidence: 99%
“…We need two properties of dependency graphs ( [1], [10]). We will be using these to explain the properties of hierarchical dependency graphs in Section 2.3.…”
Section: Properties Of Dependency Graphsmentioning
confidence: 99%
“…Given a sequential algorithm expressed as nested loops or, more formally, as a system of uniform recurrence equations [5], the dependence transformation method [3,10] transforms the computations involved into a time-space representation. We illustrate this method through an example.…”
Section: Dependence Transformationmentioning
confidence: 99%