A parallel two-list algorithm for the knapsack problem
Parallel Computing
Computing Partitions with Applications to the Knapsack Problem
Journal of the ACM (JACM)
Comments on parallel algorithms for the knapsack problem
Parallel Computing
An optimal parallelization of the two-list algorithm of cost O(2n/2)
Parallel Computing
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For more than three decades, the very well known and famous two-list Horowitz and Sahni algorithm [3] remains the serial upper-bound for the 0-1 Knapsack problem with n items (KP01) in a time bounded by O(2^n^/^2). Recently, Chedid [2] suggested an optimal parallelization for that algorithm to a KP01 variation - the subset-sum problem - in a PRAM CREW with p=2^n^/^8 processors. It is presented here that, in addition to be incomplete, the Chedid result is a particular case given by Sanches et al. [6].