Description: A multithreaded merge sorting program works as follows: A list of N integers is divided into k, sub-lists of equal sizes. Then, a number equal to k sorting threads are created in order to sort each sub-list using any O(n log2 n) sorting algorithm. Because global data are shared across all threads, perhaps the easiest way to set up the shared data is to create a global integer array, A. Partitioned carefully, each sorting thread will work independently on one part of this array. A second local integer array, B, of the same size as A, will also be established. A merge thread will then merge the k sorted sub-lists into this second array, producing a sorted list. Graphically, the suggested program is structured as in the shown figure: original list 7, 12, 19, 3, 18, 4, 2, 6, 15, 8 sorting threadi sorting shreac 7,12, 19, 3, 18 4, 2, 6, 15,8
Description: A multithreaded merge sorting program works as follows: A list of N integers is divided into k, sub-lists of equal sizes. Then, a number equal to k sorting threads are created in order to sort each sub-list using any O(n log2 n) sorting algorithm. Because global data are shared across all threads, perhaps the easiest way to set up the shared data is to create a global integer array, A. Partitioned carefully, each sorting thread will work independently on one part of this array. A second local integer array, B, of the same size as A, will also be established. A merge thread will then merge the k sorted sub-lists into this second array, producing a sorted list. Graphically, the suggested program is structured as in the shown figure: original list 7, 12, 19, 3, 18, 4, 2, 6, 15, 8 sorting threadi sorting shreac 7,12, 19, 3, 18 4, 2, 6, 15,8
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter7: Eigenvalues And Eigenvectors
Section7.CM: Cumulative Review
Problem 30CM
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Transcribed Image Text:Description:
A multithreaded merge sorting program works as follows: A list of N integers is divided into k, sub-lists
of equal sizes. Then, a number equal to k sorting threads are created in order to sort each sub-list using
any O(n log, n) sorting algorithm. Because global data are shared across all threads, perhaps the easiest
way to set up the shared data is to create a global integer array, A. Partitioned carefully, each sorting
thread will work independently on one part of this array. A second local integer array, B, of the same
size as A, will also be established. A merge thread will then merge the k sorted sub-lists into this second
array, producing a sorted list. Graphically, the suggested program is structured as in the shown figure:
original list
7,12, 19, 3, 18,4, 2, 6, 15, 8
sorting
threadi
sorting
shreac
7,12, 19, 3, 18
4, 2,6, 15,8
merge thread
2, 3,4, 6, 7,8, 12, 15, 18, 19
sorted list
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