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
Link To Document :
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