Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
An Operator-Stream-Based Scheduling Engine for Effective GPU Coprocessing
verfasst von : Sebastian Breß, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake
Erschienen in: Advances in Databases and Information Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Since a decade, the database community researches opportunities to exploit graphics processing units to accelerate query processing. While the developed GPU algorithms often outperform their CPU counterparts, it is not beneficial to keep processing devices idle while over utilizing others. Therefore, an approach is needed that effectively distributes a workload on available (co-)processors while providing accurate performance estimations for the query optimizer. In this paper, we extend our hybrid query-processing engine with heuristics that optimize query processing for response time and throughput simultaneously via inter-device parallelism. Our empirical evaluation reveals that the new approach doubles the throughput compared to our previous solution and state-of-the-art approaches, because of nearly equal device utilization while preserving accurate performance estimations.