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PDPTA
1996

Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network

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Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed into a knapsack of size L W and are only obtainable with guillotine-type side to side cuts. The parallel algorithm is described and analyzed for the associative model. The associative model ASC for parallel computation supports a generalized version of an associative style of computing that
Darrell R. Ulm, Johnnie W. Baker
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1996
Where PDPTA
Authors Darrell R. Ulm, Johnnie W. Baker
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