Paper Info
Title
Query Co-Processing on Commodity Hardware
Abstract
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have actively sought to design and develop new architectures for improving the performance. Recent research shows that the performance can be significantly improved using either (a) effective utilization of architectural features and memory hierarchies used by the conventional processors, or (b) the high computational power and memory bandwidth in commodity hardware such as network processing units (NPUs), and graphics processing units (GPUs). This seminar will survey the micro-architectural and architectural differences across these processors with data management in mind, and will present previous work and future opportunities for expanding query processing algorithms to other hardware than general-purpose processors. In addition to the database community, we intend to increase awareness in the computer architecture scene about opportunities to construct heterogeneous chips (chip multiprocessors with different architectures in them).
Year
DOI
Venue
2006
10.1109/ICDE.2006.122
ICDE
Keywords
Field
DocType
architectural feature,commodity hardware,high processing power,data volume,network processing unit,query co-processing,data mining application,database community,query processing algorithm,architectural difference,data management,memory bandwidth,computer networks,chip,hardware,computer architecture,high performance computing,graphics,bandwidth,data mining
Graphics,Data mining,Computer architecture,Memory bandwidth,Supercomputer,Computer science,Chip,Bandwidth (signal processing),Hierarchy,Commodity hardware,Data management,Database
Conference
ISBN
Citations 
PageRank 
0-7695-2570-9
1
0.35
References 
Authors
1
3
Name
Order
Citations
PageRank
Anastasia Ailamaki14178349.12
Naga K. Govindaraju23331234.15
Dinesh Manocha39551787.40