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Time-predictable GPU execution

dc.contributor.advisorMatějka Joel
dc.contributor.authorFlavio Kreiliger
dc.date.accessioned2019-06-19T22:53:27Z
dc.date.available2019-06-19T22:53:27Z
dc.date.issued2019-06-19
dc.identifierKOS-882640674805
dc.identifier.urihttp://hdl.handle.net/10467/83437
dc.description.abstractIn this thesis, we evaluate the interference between multiple GPU (Graphics processing unit) kernels running in parallel based on artificial random and sequential walks, the 2D Convolution benchmark provided by polybench and the KCF (Kernelized Correlation Filter) tracker implemented by Vít Karafiát and Michal Sojka. To achieve a reduction of the interference between the running kernels and to reduce the resulting execution jitter, we used a time-triggered execution on the GPU. To enable the synchronization, we assessed two synchronization mechanisms available on Tegra X2 platform: one based on zero-copy memory and one based on the globaltimer. We found that the NVIDIA profiler (nvprof) reconfigures the resolution of globaltimer from 1 s to 160 ns. With this resolution, we were able to reduce the execution time jitter of a tiled 2D convolution kernel from 6.47% to 0.15% while maintaining the same average execution time by use of a time-triggered GPU execution.cze
dc.description.abstractIn this thesis, we evaluate the interference between multiple GPU (Graphics processing unit) kernels running in parallel based on artificial random and sequential walks, the 2D Convolution benchmark provided by polybench and the KCF (Kernelized Correlation Filter) tracker implemented by Vít Karafiát and Michal Sojka. To achieve a reduction of the interference between the running kernels and to reduce the resulting execution jitter, we used a time-triggered execution on the GPU. To enable the synchronization, we assessed two synchronization mechanisms available on Tegra X2 platform: one based on zero-copy memory and one based on the globaltimer. We found that the NVIDIA profiler (nvprof) reconfigures the resolution of globaltimer from 1 s to 160 ns. With this resolution, we were able to reduce the execution time jitter of a tiled 2D convolution kernel from 6.47% to 0.15% while maintaining the same average execution time by use of a time-triggered GPU execution.eng
dc.publisherČeské vysoké učení technické v Praze. Vypočetní a informační centrum.cze
dc.publisherCzech Technical University in Prague. Computing and Information Centre.eng
dc.rightsA university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.html.eng
dc.rightsVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html.cze
dc.subjectpredictable executioncze
dc.subjectgpucze
dc.subjectnvidiacze
dc.subjecttx2cze
dc.subjectpremcze
dc.subjectinterferencecze
dc.subjectpredictable executioneng
dc.subjectgpueng
dc.subjectnvidiaeng
dc.subjecttx2eng
dc.subjectpremeng
dc.subjectinterferenceeng
dc.titleČasově deterministické vykonávání kódu na GPUcze
dc.titleTime-predictable GPU executioneng
dc.typeMAGISTERSKÁ PRÁCEcze
dc.typeMASTER'S THESISeng
dc.contributor.refereeŠtepanovský Michal
theses.degree.disciplineKybernetika a robotikacze
theses.degree.grantorkatedra řídicí technikycze
theses.degree.programmeKybernetika a robotikacze


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