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This work presents a novel sorting network based on the "sorting by counting" algorithm.
In 1983 the trio devised the Ajtai-Komlós-Szemerédi Ajtai-Komlós-Szemerédi Ajtai-Komlós-Szemerédifor sorting n objects in AKSarticular order in log n time sortingthe least amounetworkime theoretically possible.
In order to fully exploit the potentiality of the underlying architecture, we designed an optimized version of sorting network in the K-model, a novel computational model designed to consider all the important features of many-core architectures.
We study a problem of minimizing area of odd even sorting network (defined by Batcher).
A sorting network accelerated the kernel sorting operation at low hardware cost by utilizing the special characteristics of MA4.
The conducted evaluation highlight that our bitonic sorting network is faster than Quicksort and slightly slower than radix, yet being an in-place solution it consumes less memory than both algorithms.
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These networks are all isomorphic to each other, have merging capabilities, and can be used as building blocks of sorting networks in ways different from the standard merge-sort scheme.
Topics covered include: arithmetic circuits, parallel prefix, systolic arrays, retiming, clocking methodologies, boolean logic, sorting networks, interconnection networks, hypercubic networks, P-completeness, Vlayoutyoutheoryreconfigurableable wiring, fat-trees, and area-time complexity.
We compared the even odd merge and bitonic merge sorting networks (which are among the fastest known) with the even odd transition network, which is often characterized as significantly slower and more resource consuming.
This paper extends previous work on sorting networks (SNs) based on min/max circuits.
Networks are sorted by network modules identified from the full correlation connectome.
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