Sciweavers

2609 search results - page 24 / 522
» Optimizing for parallelism and data locality
Sort
View
EMMCVPR
2009
Springer
15 years 4 months ago
Locally Parallel Textures Modeling with Adapted Hilbert Spaces
This article 3 presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The ...
Pierre Maurel, Jean-François Aujol, Gabriel...
EUROPAR
2009
Springer
15 years 2 months ago
Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...
Alexey L. Lastovetsky, Ravi Reddy
ICPP
2008
IEEE
15 years 4 months ago
Bridging the Gap Between Parallel File Systems and Local File Systems: A Case Study with PVFS
Parallel I/O plays an increasingly important role in today’s data intensive computing applications. While much attention has been paid to parallel read performance, most of this...
Peng Gu, Jun Wang, Robert Ross
DCOSS
2011
Springer
13 years 9 months ago
A distributed information fusion method for localization based on Pareto optimization
—To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appea...
Alessio De Angelis, Carlo Fischione
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 1 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang