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Cross-platform performance ofintegrated, internal and external GPUs
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

As mobile computers such as laptops and cellphones are becoming more and more powerful, the options for those who traditionally required a more powerful desktop PC, such as video editors or gamers seem to have grown slightly. One of these new options are external Graphics Processing Units (eGPUs). Where a laptop is used along with an external GPU, connected via Intel’s Thunderbolt 3. This is however a rather untested method. This paper discusses the performance of eGPUs in a variety of operating systems (OS’s). For this research, performance benchmarking was used to investigate the performance of GPU intensive tasks in various operating systems. It was possible to determine that the performance across operating systems does indeed differ greatly in some usecases, such as games. While other use cases such as computational and synthetictests perform very similarly independently of which system (OS) is used. It seems that the main limiting factor is the GPU itself. It also appears to be the case that the interface with which the GPU is connected to a computer does indeed impact performance, in a very similar way between different OS’s. Generally, games seem to loose more performance than synthetic and computational tasks when using an externalGPU rather than an internal one. It was also discovered that there are too many variables for any real conclusions to be drawn from the gathered results. This as theresults were sometimes very inconclusive and conflicting. So while the outcomes can be generalized, more research is needed before any definitive conclusions can be made.

Place, publisher, year, edition, pages
2019. , p. 51
Keywords [en]
eGPU, External, GPU, Performance, Thunderbolt, Linux, Windows
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-18390OAI: oai:DiVA.org:bth-18390DiVA, id: diva2:1334517
Subject / course
DV1478 Bachelor Thesis in Computer Science
Educational program
DVGIS Security Engineering
Supervisors
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Available from: 2019-07-25 Created: 2019-07-02 Last updated: 2019-07-25Bibliographically approved

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CiteExportLink to record
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  • apa
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