DocumentCode
2194646
Title
Statistical bound of bubble sort algorithm in serial and parallel computations
Author
Panigrahi, Sunil Kumar ; Chakraborty, Soubhik ; Mishra, Jibitesh
Author_Institution
Department of CSE & IT, AITM, Pahal, Bhubneswar-752101, Odisha, India
fYear
2015
fDate
24-25 Jan. 2015
Firstpage
1
Lastpage
6
Abstract
In some recent papers, the weight based statistical bounds have arguably explained time complexity better than the count based mathematical bounds. Sorting has been a profound area for the algorithmic researchers and many resources are invested to suggest more works for sorting algorithms. In this paper we conceptually study the, bubble sort algorithms and were observed in terms of the efficiency of the algorithmic complexity. It found that the parallel bubble sort gives the better processor utilization, load balancing and algorithmic efficiency.
Keywords
Algorithm design and analysis; Delays; Parallel algorithms; Parallel architectures; Sorting; Time complexity; bubble sort; processor utilization; statistical bound; time complexity; weight based;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location
Visakhapatnam, India
Print_ISBN
978-1-4799-7676-8
Type
conf
DOI
10.1109/EESCO.2015.7253812
Filename
7253812
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