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Accelerating sequential computer vision algorithms using commodity parallel hardware

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Accelerating sequential computer vision algorithms using commodity parallel hardware

Rechten: Alle rechten voorbehouden

Samenvatting

This work has:
•Examined, compared and evaluated 22 programming languages and environments for parallel computing on multi-core CPUs and GPUs
•Chosen to use OpenMP as the standard for multi-core CPU programming and OpenCL for GPU programming
•Re-implemented a number of standard and well-known algorithms in Computer Vision using both standards
•Tested the performance of the implemented parallel algorithms and compared the performance to the sequential implementations of the commercially available software package VisionLab
•Evaluated the test results with a view to assessing:
- Appropriateness of multi-core CPU and GPU architectures in Computer Vision
- Benefits and costs of parallel approaches to implementation of Computer Vision algorithms

OrganisatieNHL Stenden Hogeschool
AfdelingAcademie Technology & Innovation
LectoraatLectoraat Computervision & Data Science
Datum2013-09-30
TypeMaster
TaalEngels

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