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BTW
1999
Springer
157views Database» more  BTW 1999»
15 years 1 months ago
Database Primitives for Spatial Data Mining
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
VLDB
2007
ACM
166views Database» more  VLDB 2007»
15 years 3 months ago
To Share or Not To Share?
Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show...
Ryan Johnson, Nikos Hardavellas, Ippokratis Pandis...
ISCA
2005
IEEE
134views Hardware» more  ISCA 2005»
15 years 3 months ago
An Architecture Framework for Transparent Instruction Set Customization in Embedded Processors
Instruction set customization is an effective way to improve processor performance. Critical portions of application dataflow graphs are collapsed for accelerated execution on s...
Nathan Clark, Jason A. Blome, Michael L. Chu, Scot...
SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 2 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
SOSP
2009
ACM
15 years 6 months ago
Distributed aggregation for data-parallel computing: interfaces and implementations
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Yuan Yu, Pradeep Kumar Gunda, Michael Isard