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        <description></description>
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       <dc:date>2014-03-08T01:46:08+02:00</dc:date>
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        <title>autogpu</title>
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        <dc:date>2014-02-25T12:32:33+02:00</dc:date>
        <title>autogpu</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=autogpu&amp;rev=1393324353&amp;do=diff</link>
        <description>The AUToGPU project aims to develop efficient CUDA applications for machine learning, image processing and computer vision.

This work is supported by a Marie Curie International Reintegration Grant 2009-2013 and small equipment donations by NVIDIA.</description>
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        <dc:date>2013-06-17T10:51:21+02:00</dc:date>
        <title>flcc</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=flcc&amp;rev=1371455481&amp;do=diff</link>
        <description>Description


The FLCC Library (which stands for Fast Local Correlation Coefficients) is a software tool that provides an interface for the fast computation of two fundamental image processing operations: the distribution of Correlation Coefficients with Local Normalization (also known as LCCs) and the sum of Convolution, between an image (or a stream of images) and an image template. Generally speaking, LCCs and Convolution are basic image-based information processing steps that find numerous a…</description>
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        <dc:date>2012-10-06T00:02:48+02:00</dc:date>
        <title>flcc_copyright</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=flcc_copyright&amp;rev=1349470968&amp;do=diff</link>
        <description>Copyright


Copyright 2010 George Papamakarios, George Rizos, Nikos Pitsianis and
Xiaobai Sun. All rights reserved.

Redistribution and use in source and binary forms, with or 
without modification, are permitted provided that the 
following conditions are met:</description>
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    <item rdf:about="http://autogpu.ee.auth.gr/doku.php?id=gpu_accelerated_k-means_clustering_toolbox_for_matlab&amp;rev=1296993679&amp;do=diff">
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        <dc:date>2011-02-06T14:01:19+02:00</dc:date>
        <title>gpu_accelerated_k-means_clustering_toolbox_for_matlab</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=gpu_accelerated_k-means_clustering_toolbox_for_matlab&amp;rev=1296993679&amp;do=diff</link>
        <description>GPU accelerated k-means clustering toolbox for MATLAB</description>
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    <item rdf:about="http://autogpu.ee.auth.gr/doku.php?id=gpu_accelerated_k-means_toolbox_for_matlab&amp;rev=1297099266&amp;do=diff">
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        <dc:date>2011-02-07T19:21:06+02:00</dc:date>
        <title>gpu_accelerated_k-means_toolbox_for_matlab</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=gpu_accelerated_k-means_toolbox_for_matlab&amp;rev=1297099266&amp;do=diff</link>
        <description>GPU k-means clustering is a programming tool for fast clustering of multidimensional data in the Euclidean space aimed to be used through MATLAB.

It is developed in CUDA targeting NVIDIA's CUDA enabled GPUs.

K-means is a basic clustering algorithm widely used for clustering large amounts of data. It has been used in numerous applications in areas such

as statistical machine learning, data mining, image processing and many more. However the computation has always been considered of high arithm…</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2012-10-07T22:22:32+02:00</dc:date>
        <title>n-body-bench</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=n-body-bench&amp;rev=1349637752&amp;do=diff</link>
        <description>Introduction

The purpose of the thesis is to provide a description of the “n-body problem”, both gravitational and electrostatic , and also, to provide a description of the solving methods available. 


The thesis analyzes various versions of the Tree Code algrithm, by Appel, Jernigan and Porter and Barnes and Hut.Furthermore complexity analysis and error analysis are provided, as well as an examination and description of the data structures the algorithms use.The algorithms are compared on the…</description>
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    <item rdf:about="http://autogpu.ee.auth.gr/doku.php?id=news&amp;rev=1365114825&amp;do=diff">
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        <dc:date>2013-04-05T01:33:45+02:00</dc:date>
        <title>news</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=news&amp;rev=1365114825&amp;do=diff</link>
        <description>2013

	*  April 4: FLCC Version 1.5 released (go  here for details)

2012

	*  September 30: FLCC Version 1.4 released (go  here for details)

2011

	*  December 11: FLCC Version 1.3 released (go  here for details)

	*  July 15: FLCC Version 1.2 released (go  here for details)</description>
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    <item rdf:about="http://autogpu.ee.auth.gr/doku.php?id=people&amp;rev=1393403077&amp;do=diff">
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        <dc:date>2014-02-26T10:24:37+02:00</dc:date>
        <title>people</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=people&amp;rev=1393403077&amp;do=diff</link>
        <description>Nikos P. Pitsianis, tenured Assistant Professor 



Nikos Sismanis, Ph.D student at ECE, Aristotle University of Thessaloniki


Vasiliki K. Siakka 

Software developer Riot Games Santa Monica CA USA

Giorgos Papamakarios 

MSc student at Imperial College, London, UK</description>
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    <item rdf:about="http://autogpu.ee.auth.gr/doku.php?id=projects&amp;rev=1393329504&amp;do=diff">
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        <dc:date>2014-02-25T13:58:24+02:00</dc:date>
        <title>projects</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=projects&amp;rev=1393329504&amp;do=diff</link>
        <description>There are currently two active projects. Fast Pattern Matching  and the FLCC.

Fast Pattern Matching

The goal of this project is to develop fast pattern matching algorithms for GPUs. 
 
Currently the research effort is focused on exact and approximate k-nearest neighbors 
 
(knn) search, all-knn search and k-means clustering.The motivation for this work comes 

mainly form computer vision applications such as image retrieval. Among the results of 

this project is the development two libraries …</description>
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        <dc:date>2014-03-06T20:46:37+02:00</dc:date>
        <title>publications</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=publications&amp;rev=1394131597&amp;do=diff</link>
        <description>Conference Proceedings

	*  N. Sismanis, N. Pitsianis and X. Sun, [Parallel Search of k-Nearest Neighbors with Synchronous Operations], In Proc. IEEE Conference on High Performance Extreme Computing (HPEC), 2012

	*  G. Papamakarios, G. Rizos, and N. P. Pitsianis, [ FLCC: A Library for Fast Computation of Convolution and Local Correlation Coefficients], Proc. SFHMMY 5, Xanthi, 2012</description>
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        <dc:date>2012-10-07T17:00:15+02:00</dc:date>
        <title>software</title>
        <link>http://autogpu.ee.auth.gr/doku.php?id=software&amp;rev=1349618415&amp;do=diff</link>
        <description>GPU accelerated k-means toolbox for MATLAB

FLCC Library

 GPU accelerated k-nearest neighbor library

N-BODY-BENCH</description>
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