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Optimisation of LHCb Applications for Multi- and Manycore Job Submission

Rauschmayr, Nathalie

Nowadays, the Worldwide LHC Computing Grid mainly consists of multi- and manycore processors. The thesis investigates how such resources can be used more efficiently at the example of the LHCb experiment. It analyses how to improve software in terms of memory requirements and concurrency. The research involves the implementation of a moldable job scheduler and a supervised learning algorithm which helps to better predict LHCb workloads.

Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Hochschulschrift
Jahr 2014
Sprache Englisch
Identifikator URN: urn:nbn:de:swb:90-453253
KITopen ID: 1000045325
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Telematik (TM)
Prüfungsdaten 24.10.2014
Referent/Betreuer Prof. A. Streit
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