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PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
CF
2009
ACM
14 years 2 months ago
Core monitors: monitoring performance in multicore processors
As we reach the limits of single-core computing, we are promised more and more cores in our systems. Modern architectures include many performance counters per core, but few or no...
Paul E. West, Yuval Peress, Gary S. Tyson, Sally A...
EUROSYS
2010
ACM
14 years 2 months ago
PUSH: A Dataflow Shell
The deluge of huge data sets such as those provided by sensor networks, online transactions, and the web provide exciting opportunities for data analysis. The scale of the data ...
Noah Evans, Eric Van Hensbergen
PVG
2003
IEEE
138views Visualization» more  PVG 2003»
14 years 1 months ago
Sort-First, Distributed Memory Parallel Visualization and Rendering
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpos...
E. Wes Bethel, Greg Humphreys, Brian E. Paul, J. D...
DBPL
1999
Springer
102views Database» more  DBPL 1999»
14 years 12 days ago
Union Types for Semistructured Data
Semistructured databases are treated as dynamically typed: they come equipped with no independent schema or type system to constrain the data. Query languages that are designed fo...
Peter Buneman, Benjamin C. Pierce