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Reducing the Complexity of Heterogeneous Computing: A Unified Approach for Application Development and Runtime Optimization

Kicherer, Mario

Abstract:
Heterogeneous systems with accelerators promise considerable performance improvements at a lower cost than homogeneous CPU-only systems. However, to benefit from this potential, considerable work is required from developers to integrate them efficiently in an application. This work contributes a new framework implemented with an online-learning runtime system that simplifies development and makes applications more portable, efficient and reliable across different systems.

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Volltext §
DOI: 10.5445/IR/1000046353
Seitenaufrufe: 44
seit 04.05.2018
Downloads: 228
seit 17.03.2015
Zugehörige Institution(en) am KIT Institut für Technische Informatik (ITEC)
Publikationstyp Hochschulschrift
Jahr 2014
Sprache Englisch
Identifikator urn:nbn:de:swb:90-463533
KITopen-ID: 1000046353
Verlag KIT, Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Technische Informatik (ITEC)
Prüfungsdaten 18.12.2014
Referent/Betreuer Prof. W. Karl
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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