Distributed computing with the Raspberry Pi

dc.contributor.authorDye, Brian
dc.date.accessioned2014-04-28T15:14:48Z
dc.date.available2014-04-28T15:14:48Z
dc.date.graduationmonthMayen_US
dc.date.issued2014-04-28
dc.date.published2014en_US
dc.description.abstractThe Raspberry Pi is a versatile computer for its size and cost. The research done in this project will explore how well the Raspberry Pi performs in a clustered environment. Using the Pi as the components of a Beowulf cluster will produce an inexpensive and small cluster. The research includes constructing the cluster as well as running a computationally intensive program called OpenFOAM. The Pi cluster's performance will be measured using the High Performance Linpack benchmark. The Raspberry Pi is already used for basic computer science education and in a cluster can also be used to promote more advanced concepts such as parallel programming and high performance computing. The inexpensive cost of the cluster combined with its compact sizing would make a viable alternative for educational facilities that don't own, or can't spare, their own production clusters for educational use. This also could see use with researchers running computationally intensive programs locally on a personal cluster. The cluster produced was an eight node Pi cluster that generates up to 2.365 GFLOPS.en_US
dc.description.advisorMitchell Neilsenen_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentDepartment of Computing and Information Sciencesen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/17612
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectClustered computingen_US
dc.subjectRaspberry pien_US
dc.subject.umiComputer Science (0984)en_US
dc.titleDistributed computing with the Raspberry Pien_US
dc.typeThesisen_US

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