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» Cache modeling in probabilistic execution time analysis
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ICDE
2003
IEEE
143views Database» more  ICDE 2003»
14 years 10 months ago
Querying Imprecise Data in Moving Object Environments
In moving object environments, it is infeasible for the database tracking the movement of objects to store the exact locations of objects at all times. Typically, the location of a...
Reynold Cheng, Sunil Prabhakar, Dmitri V. Kalashni...
ASPLOS
2006
ACM
14 years 2 months ago
A performance counter architecture for computing accurate CPI components
Cycles per Instruction (CPI) stacks break down processor execution time into a baseline CPI plus a number of miss event CPI components. CPI breakdowns can be very helpful in gaini...
Stijn Eyerman, Lieven Eeckhout, Tejas Karkhanis, J...
3DOR
2008
13 years 11 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
MOBICOM
2004
ACM
14 years 2 months ago
Using code collection to support large applications on mobile devices
The progress of mobile device technology unfolds a new spectrum of applications that challenges conventional infrastructure models. Most of these devices are perceived by their us...
Lucian Popa 0002, Irina Athanasiu, Costin Raiciu, ...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 3 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...