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» A general algorithm for data dependence analysis
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SIGSOFT
2005
ACM
16 years 4 months ago
Performance data collection using a hybrid approach
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
Edu Metz, Raimondas Lencevicius, Teofilo F. Gonzal...
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
15 years 9 months ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
137
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WWW
2006
ACM
16 years 3 months ago
Symmetrically exploiting XML
Path expressions are the principal means of locating data in a hierarchical model. But path expressions are brittle because they often depend on the structure of data and break if...
Shuohao Zhang, Curtis E. Dyreson
128
Voted
ICCV
2007
IEEE
16 years 5 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
LCPC
2005
Springer
15 years 8 months ago
Interprocedural Symbolic Range Propagation for Optimizing Compilers
Abstract. We have designed and implemented an interprocedural algorithm to analyze symbolic value ranges that can be assumed by variables at any given point in a program. Our algor...
Hansang Bae, Rudolf Eigenmann