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VLDB
2001
ACM
190views Database» more  VLDB 2001»
14 years 3 days ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
FAST
2007
13 years 9 months ago
AMP: Adaptive Multi-stream Prefetching in a Shared Cache
Abstract— Prefetching is a widely used technique in modern data storage systems. We study the most widely used class of prefetching algorithms known as sequential prefetching. Th...
Binny S. Gill, Luis Angel D. Bathen
DAC
2004
ACM
14 years 8 months ago
Automated energy/performance macromodeling of embedded software
Efficient energy and performance estimation of embedded software is a critical part of any system-level design flow. Macromodeling based estimation is an attempt to speed up estim...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
BMCBI
2008
77views more  BMCBI 2008»
13 years 7 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
SIGMOD
1989
ACM
94views Database» more  SIGMOD 1989»
13 years 11 months ago
Redundancy in Spatial Databases
Spatial objects other than points and boxes can be stored in spatial indexes, but the techniques usually require the use of approximations that can be arbitrarily bad. This leads ...
Jack A. Orenstein