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  1. Proceedings of the 2013 SIGMOD/PODS Ph.D. symposium (SIGMOD'13 PhD Symposium)
  2. Designing a database system for modern processing architectures
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Exploiting in-network processing for big data management
Learning queries for relational, semi-structured, and graph databases
Exploratory mining of collaborative social content
DeepSea: self-adaptive data partitioning and replication in scalable distributed data systems
Turning scientists into data explorers
Discovering and disambiguating named entities in text
Designing a database system for modern processing architectures
Information diffusion in online social networks
The tantalizing new prospect of index-based diversified retrieval
Effective hashing for large-scale multimedia search
Efficient and scalable monitoring and summarization of large probabilistic data
RDF-4G: algorithmic building blocks for large-scale graph analytics

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Designing a database system for modern processing architectures

Content Provider ACM Digital Library
Author Heimel, Max
Abstract The hardware landscape is getting increasingly diverse. A modern desktop computer can contain multiple different processing architectures like multi-core CPUs or GPUs. This diversity is expected to grow significantly in the next ten years, with micro-architectures themselves diverging towards highly parallel and heterogeneous designs. We believe that preparing database systems to exploit this diverse landscape of processing architectures will be one of the major challenges for the coming decade in database research. In this paper, we present our thoughts and results on modifying the components of a database system to efficiently use modern processing architectures. In particular, we discuss our work on offloading parts of the Query Optimizer to highly parallel processors such as graphics cards, and present our work on designing a hardware-oblivious Execution Engine that can run unchanged on a multitude of different processing architectures.
Starting Page 13
Ending Page 18
Page Count 6
File Format PDF
ISBN 9781450321556
DOI 10.1145/2483574.2483577
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-23
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Modern hardware architectures Hardware-oblivious data processing Database design Query optimization
Content Type Text
Resource Type Article
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