Heterogeneous placement optimization for database query processing
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Tomas Karnagel
Tomas Karnagel is currently a Ph.D. student at TU Dresden, working on heterogeneity-aware query optimization. Before starting his Ph.D., he worked with SAP and Intel on in-memory database systems and later he interned at the IBM Almaden Research Center, working on GPU acceleration of database queries.
Database Systems Group, Technische Universität Dresden, Dresden, Germany
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Dirk Habich
Dirk Habich studied Computer Science at the University of Halle-Wittenberg and received his Ph.D. in 2008 from the Technische Universität Dresden, where he still is a member of the scientific staff of Prof. Dr.-Ing. Wolfgang Lehner. His research interest focuses on database support for data mining, in-memory databases, and modern system architectures.
Database Systems Group, Technische Universität Dresden, Dresden, Germany
©2017 Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Hardware Based Databases
- Thematic Issue: Modern Database Architectures for Modern Hardware
- Storage class memory and databases: Opportunities and challenges
- Heterogeneous placement optimization for database query processing
- FPGAs for data processing: Current state
- Exploiting capabilities of modern processors in data intensive applications
- GPU-GIST – a case of generalized database indexing on modern hardware
- Architecture of a data analytics service in hybrid cloud environments
Articles in the same Issue
- Frontmatter
- Editorial
- Hardware Based Databases
- Thematic Issue: Modern Database Architectures for Modern Hardware
- Storage class memory and databases: Opportunities and challenges
- Heterogeneous placement optimization for database query processing
- FPGAs for data processing: Current state
- Exploiting capabilities of modern processors in data intensive applications
- GPU-GIST – a case of generalized database indexing on modern hardware
- Architecture of a data analytics service in hybrid cloud environments
