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Performance improvement in data searching and sorting using multi-core


Article Information

Title: Performance improvement in data searching and sorting using multi-core

Authors: Venkata Siva Prasad Ch., Ravi S., Karthikeyan V.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 16

Language: English

Categories

Abstract

Recently multi-core processors have become more popular due to performance, and efficient processing of multiple tasks simultaneously using concurrent and parallel languages like openMP programming The design of parallel algorithm and performance measurement is a major issue on multi-core environment and multi-core modules used in Searching and sorting of data in unsorted database. Multi-core based searching and sorting (of serial and parallel algorithms) can reduce the execution time considerably compared to single core. In the proposed work searching and sorting is done for numbers as well as words in a large database with comparison of both single and multi-core implementation. Multi-core offers explicit support for executing multiple threads in parallel and thus reduces the time. The results for number searching and sorting, word searching and sorting is presented and also speed up achieved using multi-core over single core is reported. Hardware implementation is done on Gizmo board (dual core).


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