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

Kicherer, Mario


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.

Volltext §
DOI: 10.5445/IR/1000046353
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Informatik (ITEC)
Publikationstyp Hochschulschrift
Publikationsjahr 2014
Sprache Englisch
Identifikator urn:nbn:de:swb:90-463533
KITopen-ID: 1000046353
Verlag Karlsruher Institut für Technologie (KIT)
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Technische Informatik (ITEC)
Prüfungsdaten 18.12.2014
Referent/Betreuer Karl, W.
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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