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Enhancing Sorting Efficiency in Embedded Systems : Implementation of Adaptive Sort within EmbedDB Morris, Aidan
Abstract
This thesis presents the implementation of the Adaptive Sort algorithm within EmbedDB, focusing on its integration into embedded systems. The work highlights the challenges encountered, key design decisions, and optimization strategies tailored for resource-constrained devices. Performance evaluation is conducted using real-world datasets of varying sizes, demonstrating the algorithm’s efficiency and adaptability. This research contributes to enhancing the sorting capabilities of embedded systems, improving their robustness, versatility, and overall performance in diverse applications.
Item Metadata
Title |
Enhancing Sorting Efficiency in Embedded Systems : Implementation of Adaptive Sort within EmbedDB
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Creator | |
Date Issued |
2025-04
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Description |
This thesis presents the implementation of the Adaptive Sort algorithm
within EmbedDB, focusing on its integration into embedded systems. The
work highlights the challenges encountered, key design decisions, and optimization strategies tailored for resource-constrained devices. Performance
evaluation is conducted using real-world datasets of varying sizes, demonstrating the algorithm’s efficiency and adaptability. This research contributes to enhancing the sorting capabilities of embedded systems, improving their robustness, versatility, and overall performance in diverse applications.
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Genre | |
Type | |
Language |
eng
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Series | |
Date Available |
2025-05-08
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0448794
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Undergraduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International