Demonstrating efficient query processing in heterogeneous environments
| Autor: | Wolfgang Lehner, Dirk Habich, Mario Ludwig, Volker Markl, Tomas Karnagel, Max Heimel, Matthias Hille |
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| Rok vydání: | 2014 |
| Předmět: |
Operator (computer programming)
Computer science Distributed computing ddc:004 Modern Hardware Architecture Hardware-Oblivious Data Processing Heterogeneous Hardware Operator Placement Query Optimization Query optimization Moderne Hardware-Architektur Hardware-abhängige Daten Verarbeitung Heterogene Hardware Platzierung von Operatoren Abfrage-Optimierung Porting Database testing Database tuning |
| Zdroj: | SIGMOD Conference |
| DOI: | 10.1145/2588555.2594526 |
| Popis: | The increasing heterogeneity in hardware systems gives developers many opportunities to add more functionality and computational power to the system. As a consequence, modern database systems will need to be able to adapt to a wide variety of heterogeneous architectures. While porting single operators to accelerator architectures is well-understood, a more generic approach is needed for the whole database system. In prior work, we presented a generic hardware-oblivious database system, where the operators can be executed on the main processor as well as on a large number of accelerator architectures. However, to achieve fully heterogeneous query processing, placement decisions are needed for the database operators. We enhance the presented system with heterogeneity-aware operator placement (HOP) to take a major step towards designing a database system that can efficiently exploit highly heterogeneous hardware environments. In this demonstration, we are focusing on the placement-integration aspect as well as presenting the resulting database system. |
| Databáze: | OpenAIRE |
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