A framework for identification of similarities between multiple algorithms

Amarasinghe Arachchilage, Madhushika Madara Erangani Karunarathra (2015) A framework for identification of similarities between multiple algorithms. PhD thesis, Queensland University of Technology.

Abstract

This thesis in software engineering presents a novel automated framework to identify similar operations utilized by multiple algorithms for solving related computing problems. It provides a new effective solution to perform multi-application based algorithm analysis, employing fundamentally light-weight static analysis techniques compared to the state-of-art approaches. Significant performance improvements are achieved across the objective algorithms through enhancing the efficiency of the identified similar operations, targeting discrete application domains.

Impact and interest:

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Full-text downloads:

49 since deposited on 30 Apr 2015
16 in the past twelve months

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ID Code: 82784
Item Type: QUT Thesis (PhD)
Supervisor: Tian, Glen & Fidge, Colin
Keywords: Algorithm analysis, Algorithm clustering, Parameter weighting system, Algorithm similarities, Special-purpose operations
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 30 Apr 2015 05:36
Last Modified: 08 Sep 2015 06:19

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