<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Home</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>Recent changes to Home</description><atom:link href="https://sourceforge.net/p/blockmatrix/wiki/Home/feed" rel="self"/><language>en</language><lastBuildDate>Wed, 15 Apr 2015 17:01:58 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/blockmatrix/wiki/Home/feed" rel="self" type="application/rss+xml"/><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v6
+++ v7
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+The SpGEMM code
+====================
+
+Looking for the SpGEMM() code from our HPC 2015 paper? Its release was delayed by some unease in licensing agreements but it will be released shortly. Please do not hesitate to contact us about it.
+
 Block Matrix library
 ====================

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Wed, 15 Apr 2015 17:01:58 -0000</pubDate><guid>https://sourceforge.net01ad2af447e604c0fb802ac16417c179870e31ac</guid></item><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v5
+++ v6
@@ -5,7 +5,7 @@

 &lt;center&gt;![Sparse blockwise Cholesky factorization with fill-in highlighted.](https://sourceforge.net/p/blockmatrix/screenshot/L_026_fillin.png)&lt;/center&gt;

-GPU acceleration is underway.
+GPU acceleration is underway, you can check out the "gpu" branch in the code.

 Acknowledgements
 ================
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Mon, 14 Apr 2014 00:45:30 -0000</pubDate><guid>https://sourceforge.netaca1fcc25f1f560a5baa4474482d9868b582c19b</guid></item><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v4
+++ v5
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 Block Matrix library
 ====================

-ÜberBlockMatrix is an efficient implementation of a linear algebra library for sparse block matrices with BLAS-like functionality. It is written in C++ and it is *very fast* due to the fact that it exploits the block structure the problems and offers very fast solutions to [manipulate block matrices](https://sourceforge.net/p/slam-plus-plus/wiki/Block%20Matrix/). It currently depends on Eigen and CSparse, but we are working on making it more stand-alone.
+ÜberBlockMatrix is an efficient implementation of a linear algebra library for sparse block matrices with BLAS-like functionality. It is written in C++ and it provides *very fast* solutions to [manipulate block matrices](https://sourceforge.net/p/slam-plus-plus/wiki/Block%20Matrix/). It currently depends on Eigen and partially also on CSparse (for AMD ordering and some shared data structures), but we are working on making it more stand-alone.

 &lt;center&gt;![Sparse blockwise Cholesky factorization with fill-in highlighted.](https://sourceforge.net/p/blockmatrix/screenshot/L_026_fillin.png)&lt;/center&gt;

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Mon, 10 Feb 2014 15:10:12 -0000</pubDate><guid>https://sourceforge.netc129fc7f1c165c1328f0de425bc192db50554c34</guid></item><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v3
+++ v4
@@ -3,7 +3,7 @@

 ÜberBlockMatrix is an efficient implementation of a linear algebra library for sparse block matrices with BLAS-like functionality. It is written in C++ and it is *very fast* due to the fact that it exploits the block structure the problems and offers very fast solutions to [manipulate block matrices](https://sourceforge.net/p/slam-plus-plus/wiki/Block%20Matrix/). It currently depends on Eigen and CSparse, but we are working on making it more stand-alone.

-&lt;center&gt;![Sparse blockwise Cholesky factorization with fill-in highlighted.](https://sourceforge.net/p/slam-plus-plus/screenshot/L_026_fillin.png)&lt;/center&gt;
+&lt;center&gt;![Sparse blockwise Cholesky factorization with fill-in highlighted.](https://sourceforge.net/p/blockmatrix/screenshot/L_026_fillin.png)&lt;/center&gt;

 GPU acceleration is underway.

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Mon, 10 Feb 2014 15:08:09 -0000</pubDate><guid>https://sourceforge.net1697901c76b656312e4d1466aed37e39830f0fb0</guid></item><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v2
+++ v3
@@ -2,6 +2,8 @@
 ====================

 ÜberBlockMatrix is an efficient implementation of a linear algebra library for sparse block matrices with BLAS-like functionality. It is written in C++ and it is *very fast* due to the fact that it exploits the block structure the problems and offers very fast solutions to [manipulate block matrices](https://sourceforge.net/p/slam-plus-plus/wiki/Block%20Matrix/). It currently depends on Eigen and CSparse, but we are working on making it more stand-alone.
+
+&lt;center&gt;![Sparse blockwise Cholesky factorization with fill-in highlighted.](https://sourceforge.net/p/slam-plus-plus/screenshot/L_026_fillin.png)&lt;/center&gt;

 GPU acceleration is underway.

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Mon, 10 Feb 2014 15:07:45 -0000</pubDate><guid>https://sourceforge.net883bee6aacd2c9a55644128c6ed1b0731deb31d6</guid></item><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -1,8 +1,32 @@
-Welcome to your wiki!
+Block Matrix library
+====================

-This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].
+ÜberBlockMatrix is an efficient implementation of a linear algebra library for sparse block matrices with BLAS-like functionality. It is written in C++ and it is *very fast* due to the fact that it exploits the block structure the problems and offers very fast solutions to [manipulate block matrices](https://sourceforge.net/p/slam-plus-plus/wiki/Block%20Matrix/). It currently depends on Eigen and CSparse, but we are working on making it more stand-alone.

-The wiki uses [Markdown](/p/blockmatrix/wiki/markdown_syntax/) syntax.
+GPU acceleration is underway.

-[[members limit=20]]
+Acknowledgements
+================
+
+The research leading to these results has received funding from the EU 7th FP, grants 316564-IMPART and 247772-SRS, Artemis JU grant 100233-R3-COP, and the IT4Innovations Centre of Excellence, grant n. CZ.1.05/1.1.00/02.0070, supported by Operational Programme Research and Development for Innovations funded by Structural Funds of the European Union and the state budget of the Czech Republic.
+
+
+We publish
+==========
+
+If you want to read more about what's going on in our library, you can read our papers. If you are publishing a work based on ours, please cite these.
+
+L. Polok, V. Ila, M. Solony, P. Smrz and P. Zemcik, *"Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics,"* in Proceedings of Robotics: Science and Systems 2013, MIT Press, 2013
+
+L. Polok, M. Solony, V. Ila, P. Smrz and P. Zemcik, *"Incremental Cholesky Factorization for Least Squares Problems in Robotics,"* in Proceedings of The 2013 IFAC Intelligent Autonomous Vehicles Symposium, IFAC, 2013.
+
+L. Polok, M. Solony, V. Ila, P. Zemcik, and P. Smrz, *"[Efficient implementation for block matrix operations for nonlinear least squares problems in robotic applications](http://www.stud.fit.vutbr.cz/~xpolok00/icra2013.pdf),"* in Proceedings of the IEEE International Conference on Robotics and Automation, IEEE, 2013.
+
+L. Polok, V. Ila and P. Smrz, *"[Cache Efficient Implementation for Block Matrix Operations](http://www.fit.vutbr.cz/~ipolok/pubs.php?file=%2Fpub%2F10265%2Fhpc13_final_with_link.pdf&amp;amp;id=10265),"* in Proceedings of the 21st High Performance Computing Symposia (HPC'13), SCS, 2013.
+
+[[project_admins]]
+
+[Viorela Ila's homepage](http://viorelaila.com/)
+[Lukas Polok's homepage](http://www.stud.fit.vutbr.cz/~xpolok00/)
+
 [[download_button]]
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Mon, 10 Feb 2014 15:06:21 -0000</pubDate><guid>https://sourceforge.neta9a754d0ac1594de3841de03c5ea8f7f77b2ff40</guid></item><item><title>Home modified by Lukas Polok</title><link>https://sourceforge.net/p/blockmatrix/wiki/Home/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;Welcome to your wiki!&lt;/p&gt;
&lt;p&gt;This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: &lt;span&gt;[SamplePage]&lt;/span&gt;.&lt;/p&gt;
&lt;p&gt;The wiki uses &lt;a class="" href="/p/blockmatrix/wiki/markdown_syntax/"&gt;Markdown&lt;/a&gt; syntax.&lt;/p&gt;
&lt;p&gt;&lt;h6&gt;Project Members:&lt;/h6&gt;
&lt;ul class="md-users-list"&gt;
&lt;li&gt;&lt;a href="/u/swajnautcz/"&gt;Lukas Polok&lt;/a&gt; (admin)&lt;/li&gt;
&lt;/ul&gt;&lt;br /&gt;
&lt;/p&gt;&lt;p&gt;&lt;span class="download-button-52f8e961f1fd8d2dfe126eb5" style="margin-bottom: 1em; display: block;"&gt;&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lukas Polok</dc:creator><pubDate>Mon, 10 Feb 2014 14:59:46 -0000</pubDate><guid>https://sourceforge.netceaeb9e23dc903a0b8f92722cbac45ad2a61f75a</guid></item></channel></rss>