Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/4015
Title: Efficient serial implementation of Odd-Even transposition sort on FPGA
Authors: Akkad, Ghattas 
Affiliations: Department of Computer Engineering 
Advisors: Ayoubi, Rafic 
Subjects: Computer engineering
Computer algorithms
Sorting (Electronic computers)
Issue Date: 2014
Abstract: 
Sorting is known to be executed very frequently on many computers, mostly in software to handle wide variety of tasks. However software implementations suffer from low speed when dealing with large number of keys. On the other hand, little work has been done to implement sorting in hardware. Most of these implementations suffer from high resource consumption, where sorting large number of keys is prohibitively expensive and thus unrealistic. This thesis presents the implementation of a serial Odd – Even Transposition sorting algorithm. The main motivation of the proposed implementation is the ability to sort large number of keys in real time. Therefore, a bit-wise implementation is proposed; reducing the size of each sorting cell. This, in turn, lead to a higher clock rate, while maintaining its high parallelism. The advantages of such implementation are twofold. First, it is not affected by the width of each key, as opposed to word-wise implementation. Second, it leads to a higher clock rate than previous implementations. These advantages, along with high parallelism, lead to real time sorting. This serial implementation is simulated on FPGA Virtex IV and hosted by FPGA Virtex II Labview PCI card with a DMA based data transfer from computer to FPGA.
Description: 
Includes bibliographical references (p.42-43).

Supervised by Dr. Rafic Ayoubi.
URI: https://scholarhub.balamand.edu.lb/handle/uob/4015
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Thesis
Appears in Collections:UOB Theses and Projects

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