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Enhanced Merge Sort- A New Approach to the Merging Process [PDF]
One of the major fundamental issues of Computer Science is arrangement of elements in the database. The efficiency of the sorting algorithms is to optimize the importance of other sorting algorithms11. The optimality of these sorting algorithms is judged
Smita Paira, Sourabh Chandra
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Sorting and merging on the DAP
Proceedings of the 30th annual Southeast regional conference on - ACM-SE 30, 1992Summary: The sorting problem is of fundamental importance in non-numerical algorithms. Many applications require the ordering of data based the relationship of some set of keys with in the data. Merging is a natural companion of sorting, and is known to yield a very efficient sorting algorithm in sequential processing.
Dharmavani Bhagavathi +4 more
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SIAM Journal on Algebraic Discrete Methods, 1982
The need for sorting algorithms which operate in a fixed number of rounds (rather than have each new comparison depend on the outcomes of all previous comparisons) arises in structural modeling. Since all comparisons within a round are evaluated simultaneously, such algorithms have an obvious connection to parallel processing.In an earlier paper (SIAM ...
Haeggkvist, R., Hell, P.
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The need for sorting algorithms which operate in a fixed number of rounds (rather than have each new comparison depend on the outcomes of all previous comparisons) arises in structural modeling. Since all comparisons within a round are evaluated simultaneously, such algorithms have an obvious connection to parallel processing.In an earlier paper (SIAM ...
Haeggkvist, R., Hell, P.
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Heuristic and pattern based Merge Sort [PDF]
The aim of this study is to present a stable and adaptable Merge Sort algorithm that uses the design patterns to reduce computational complexity of swaps and memory usage.
Jafarlou, Manouchehr Zadahmad +3 more
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SIAM Journal on Computing, 1986
Summary: We give a parallel implementation of merge sort on a CREW PRAM that uses n processors and O(log n) time; the constant in the running time is small. We also give a more complex version of the algorithm for the EREW PRAM; it also uses n processors and O(log n) time. The constant in the running time is still moderate, though not as small.
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Summary: We give a parallel implementation of merge sort on a CREW PRAM that uses n processors and O(log n) time; the constant in the running time is small. We also give a more complex version of the algorithm for the EREW PRAM; it also uses n processors and O(log n) time. The constant in the running time is still moderate, though not as small.
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Correction: Parallel Merge Sort
SIAM Journal on Computing, 1993Correction concerned with ibid. 17, No. 4, 770-785 (1988; Zbl 0651.68077).
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A multiway merge sorting network
IEEE Transactions on Parallel and Distributed Systems, 1995A multiway merge sorting network is presented, which generalizes the technique used in the odd-even merge sorting network. The merging network described here is composed of m k-way mergers and a combining network. It arranges k ordered lists of length n each into one ordered lists in T(k)+[log/sub 2/k] [log/sub 2/m] [log/sub 2/m] steps, where T(k) is ...
De-Lei Lee, Kenneth E. Batcher
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Sorting by Merging or Merging by Sorting?
2006In the comparison model the only operations allowed on input elements are comparisons and moves to empty cells of memory. We prove the existence of an algorithm that, for any set of s ≤n sorted sequences containing a total of n elements, computes the whole sorted sequence using O(nlogs) comparisons, O(n) data moves and O(1) auxiliary cells of memory ...
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Minimean Merging and Sorting: An Algorithm
SIAM Journal on Computing, 1978A simple partitioning algorithm for merging two disjoint linearly ordered sets is given, and an upper bound on the average number of comparisons required is established. The upper bound is $1.06\log _2 \begin{pmatrix} {n + m} \\ m \end{pmatrix}$, where n is the number of elements in the larger of the two sets, m the number of the smaller, and $\begin ...
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