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dc.contributor.advisorNatvig, Lasse
dc.contributor.authorChavez, Christian
dc.date.accessioned2016-09-19T14:01:01Z
dc.date.available2016-09-19T14:01:01Z
dc.date.created2016-07-11
dc.date.issued2016
dc.identifierntnudaim:14682
dc.identifier.urihttp://hdl.handle.net/11250/2408415
dc.description.abstractThis thesis details a proposed system implementation upgrade for the CMB system, accessible at \url{climb.idi.ntnu.no}, which profiles C/C++ code for its energy efficiency on an Odroid-XU3 board, which utilises a Samsung Exynos 5 Octa CPU, and has an ARM Mali-T628 GPU. Our proposed system implementation improves the robustness of the code base and its execution, in addition to permitting an increased throughput of submissions profiled by the system with the implementation's dispatcher which allows the system to utilise several Odroid-XU3 backends for the energy and timing measurement profiling. Our tests show that our implementation can achieve more than $4$x speedup with ``Hello World'' submissions using a parallelized web server, and around $2$x speedup with ``Shortest Path'' submissions using a serial web server.
dc.languageeng
dc.publisherNTNU
dc.subjectDatateknologi, Komplekse datasystemer
dc.titleClimbing Mont Blanc and Scalability
dc.typeMaster thesis
dc.source.pagenumber181


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