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Power Efficiency of Radar Signal Processing on Embedded Graphics Processing Units (GPUs)
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In recent years the use of graphics processing units for general purpose computation has been increasing. This provides a relatively cheap and easy way of optimizing computation intensive tasks. Although a lot of research has been done on this subject the power aspect of this is not very clear. This thesis treats the implementation and benchmarking of three radar signal processing algorithms for the CPU and GPU of the Jetson Tegra X2 module. The objective was to measure the power consumption and speed of the GPU versus CPU implementations. All three algorithms were most efficiently executed on the GPU both in terms of power consumption and speed. The Space Time Adaptive Processing algorithm presented the biggest speedup and the Corner Turn the smallest. It was found that the both the computation and power efficiency of the GPU implementations was lower for sufficiently small input matrices.

Place, publisher, year, edition, pages
2018.
Series
TVE-F ; 18036
Keywords [en]
GPGPU
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-398316OAI: oai:DiVA.org:uu-398316DiVA, id: diva2:1375316
External cooperation
HPC
Educational program
Master Programme in Engineering Physics
Supervisors
Examiners
Available from: 2019-12-18 Created: 2019-12-04 Last updated: 2019-12-18Bibliographically approved

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Type fulltextMimetype application/pdf

Signal Processing

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CiteExportLink to record
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