Commit 47f5d662 authored by Nathalie Furmento's avatar Nathalie Furmento
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......@@ -23,9 +23,9 @@
<p>For any questions regarding StarPU, you can
<ul>
<li>Read
the <a href="http://starpu.gforge.inria.fr/testing/master/doc/html">documentation</a>,
the <a href="/files/testing/master/doc/html">documentation</a>,
and more specifically
the <a href="http://starpu.gforge.inria.fr/testing/master/doc/html/FrequentlyAskedQuestions.html">FAQ</a>,</li>
the <a href="/files/testing/master/doc/html/FrequentlyAskedQuestions.html">FAQ</a>,</li>
<li>Read the <a href="/tutorials/">tutorials</a>,</li>
<li>Browse
the <a href="https://lists.gforge.inria.fr/pipermail/starpu-devel/">archive</a>
......
......@@ -31,7 +31,7 @@
<a href="files/">Download</a> |
<a href="market/">Market</a> |
<a href="tutorials/">Tutorials</a> |
<a href="http://starpu.gforge.inria.fr/testing/morse/master/">Benchmarks</a> |
<a href="/files/testing/morse/master/">Benchmarks</a> |
<a href="https://gforge.inria.fr/plugins/mediawiki/wiki/starpu/index.php/Main_Page">Intranet</a>
</div>
......@@ -63,7 +63,7 @@
<p>
<span class="note">The StarPU documentation is available in
<a href="./doc/starpu.pdf">PDF</a> and in <a href="./doc/html/">HTML</a>.</span>
<a href="/files/doc/starpu.pdf">PDF</a> and in <a href="./doc/html/">HTML</a>.</span>
Please note that these documents are up-to-date with the latest release of
StarPU.
</p>
......@@ -132,8 +132,8 @@ A video recording (26') of a <a href=http://www.x.org/wiki/Events/XDC2014/XDC201
<p>
The latest tutorial material for StarPU is composed of two parts:
<ul>
<li><a href="http://starpu.gforge.inria.fr/tutorials/2016-06-PATC/slides/01_introducing_starpu.pdf">Introducing StarPU</a></li>
<li><a href="http://starpu.gforge.inria.fr/tutorials/2016-06-PATC/slides/02_mastering_starpu.pdf">Mastering StarPU</a></li>
<li><a href="/tutorials/2016-06-PATC/slides/01_introducing_starpu.pdf">Introducing StarPU</a></li>
<li><a href="/tutorials/2016-06-PATC/slides/02_mastering_starpu.pdf">Mastering StarPU</a></li>
</ul>
</p>
</div>
......
......@@ -51,7 +51,7 @@ benchmarked on research platforms.
<li>First install <a href=https://simgrid.org>simgrid</a>. On Debian-based
systems you can simply install the <tt>libsimgrid-dev</tt> and <tt>libboost-dev</tt> packages.
<li>Download <a href=http://starpu.gforge.inria.fr/testing/starpu-1.3/starpu-nightly-latest.tar.gz>the latest 1.3 branch nightly snapshot</a> of StarPU.</a></li>
<li>Download <a href="/files/testing/starpu-1.3/starpu-nightly-latest.tar.gz">the latest 1.3 branch nightly snapshot</a> of StarPU.</a></li>
<li>Compile it with simgrid support enabled (no need to build it all, src/ and tools/ is enough):</li>
<tt>
......
......@@ -74,7 +74,7 @@ connections.</p>
<h4>StarPU</h4>
<p>The StarPU source code can be downloaded from
<a href="http://starpu.gforge.inria.fr/">the StarPU website</a>, make sure to get
<a href="/files">the StarPU website</a>, make sure to get
the latest release, that is 0.9.1. The build process is using the usual GNU style:</p>
<tt><pre>
......
......@@ -73,7 +73,7 @@ connections.</p>
<h4>StarPU</h4>
<p>The StarPU source code can be downloaded from
<a href="http://starpu.gforge.inria.fr/">the StarPU website</a>, make sure to get
<a href="/files">the StarPU website</a>, make sure to get
the latest release, that is 0.9.1. The build process is using the usual GNU style:</p>
<tt><pre>
......
......@@ -75,7 +75,7 @@ connections.</p>
<h4>StarPU</h4>
<p>The StarPU source code can be downloaded from
<a href="http://starpu.gforge.inria.fr/">the StarPU website</a>, make sure to get
<a href="/files">the StarPU website</a>, make sure to get
the latest release, that is 1.1.0rc1. The build process is using the usual GNU style:</p>
<tt><pre>
......
......@@ -292,7 +292,7 @@ STARPU_NCPUS=0 STARPU_NCUDA=0 vector_scal_task_insert
You can set the environment variable STARPU_WORKER_STATS to 1 when
running your application to see the number of tasks executed by each
device. You can see the whole list of environment
variables <a href="http://starpu.gforge.inria.fr/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
variables <a href="/files/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
</p>
<tt>
......@@ -467,9 +467,9 @@ have been easily ported to StarPU by simply using <tt>starpu_insert_task</tt>.
<p>
Take the vector example again, and add partitioning support to it, using the
matrix-matrix multiplication as an example. Here we will use the
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
<a href="/files/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
predefined filters provided by
StarPU <a href="http://starpu.gforge.inria.fr/doc/html/starpu__data__filters_8h.html">here</a>.
StarPU <a href="/files/doc/html/starpu__data__filters_8h.html">here</a>.
Try to run it with various numbers of tasks.
</p>
</div>
......@@ -481,7 +481,7 @@ Try to run it with various numbers of tasks.
<p>
This is based on StarPU's documentation
<a href="http://starpu.gforge.inria.fr/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
<a href="/files/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
chapter</a>
</p>
......@@ -491,14 +491,14 @@ This is based on StarPU's documentation
<p>
We have explained how StarPU can overlap computation and data transfers
thanks to DMAs. This is however only possible when CUDA has control over the
application buffers. The application should thus use <a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
application buffers. The application should thus use <a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
when allocating its buffer, to permit asynchronous DMAs from and to
it.
</p>
<p>
Take the vector example again, and fix the allocation, to make it use
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
<a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
</p>
</div>
......@@ -760,7 +760,7 @@ For any questions regarding StarPU, please contact the StarPU developers mailing
<h2>More Performance Optimizations</h2>
<p>
The StarPU
documentation <a href="http://starpu.gforge.inria.fr/doc/html/PerformanceFeedback.html">performance
documentation <a href="/files/doc/html/PerformanceFeedback.html">performance
feedback chapter</a> provides more optimization tips for further
reading after this tutorial.
</p>
......
......@@ -240,7 +240,7 @@ STARPU_NCPUS=0 STARPU_NCUDA=0 vector_scal_task_insert
You can set the environment variable STARPU_WORKER_STATS to 1 when
running your application to see the number of tasks executed by each
device. You can see the whole list of environment
variables <a href="http://starpu.gforge.inria.fr/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
variables <a href="/files/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
</p>
<tt>
......@@ -405,9 +405,9 @@ have been easily ported to StarPU by simply using <tt>starpu_insert_task</tt>.
<p>
Take the vector example again, and add partitioning support to it, using the
matrix-matrix multiplication as an example. Here we will use the
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
<a href="/files/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
predefined filters provided by
StarPU <a href="http://starpu.gforge.inria.fr/doc/html/starpu__data__filters_8h.html">here</a>.
StarPU <a href="/files/doc/html/starpu__data__filters_8h.html">here</a>.
Try to run it with various numbers of tasks.
</p>
</div>
......@@ -419,7 +419,7 @@ Try to run it with various numbers of tasks.
<p>
This is based on StarPU's documentation
<a href="http://starpu.gforge.inria.fr/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
<a href="/files/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
chapter</a>
</p>
......@@ -429,14 +429,14 @@ This is based on StarPU's documentation
<p>
We have explained how StarPU can overlap computation and data transfers
thanks to DMAs. This is however only possible when CUDA has control over the
application buffers. The application should thus use <a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
application buffers. The application should thus use <a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
when allocating its buffer, to permit asynchronous DMAs from and to
it.
</p>
<p>
Take the vector example again, and fix the allocation, to make it use
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
<a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
</p>
</div>
......@@ -678,7 +678,7 @@ For any questions regarding StarPU, please contact the StarPU developers mailing
<h2>More Performance Optimizations</h2>
<p>
The StarPU
documentation <a href="http://starpu.gforge.inria.fr/doc/html/PerformanceFeedback.html">performance
documentation <a href="/files/doc/html/PerformanceFeedback.html">performance
feedback chapter</a> provides more optimization tips for further
reading after this tutorial.
</p>
......
......@@ -27,11 +27,11 @@
<h3>Installing StarPU on your system</h3>
<p>
Instructions to build, install and check that StarPU is running fine are available in
<a href="http://starpu.gforge.inria.fr/doc/html/BuildingAndInstallingStarPU.html">the StarPU handbook</a>
<a href="/files/doc/html/BuildingAndInstallingStarPU.html">the StarPU handbook</a>
</p>
<p>
Please take <a href="http://starpu.gforge.inria.fr/files/starpu-1.3.1/starpu-1.3.1.tar.gz">version 1.3.1 of StarPU</a>.
Please take <a href="/files/starpu-1.3.1/starpu-1.3.1.tar.gz">version 1.3.1 of StarPU</a>.
</p>
</div>
......@@ -241,7 +241,7 @@ STARPU_NCPUS=0 STARPU_NCUDA=0 ./vector_scal_task_insert
You can set the environment variable STARPU_WORKER_STATS to 1 when
running your application to see the number of tasks executed by each
device. You can see the whole list of environment
variables <a href="http://starpu.gforge.inria.fr/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
variables <a href="/files/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
</p>
<tt>
......@@ -413,9 +413,9 @@ have been easily ported to StarPU by simply using <tt>starpu_insert_task</tt>.
<p>
Take the vector example again, and add partitioning support to it, using the
matrix-matrix multiplication as an example. Here we will use the
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
<a href="/files/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
predefined filters provided by
StarPU <a href="http://starpu.gforge.inria.fr/doc/html/starpu__data__filters_8h.html">here</a>.
StarPU <a href="/files/doc/html/starpu__data__filters_8h.html">here</a>.
Try to run it with various numbers of tasks.
</p>
</div>
......@@ -427,7 +427,7 @@ Try to run it with various numbers of tasks.
<p>
This is based on StarPU's documentation
<a href="http://starpu.gforge.inria.fr/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
<a href="/files/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
chapter</a>
</p>
......@@ -437,14 +437,14 @@ This is based on StarPU's documentation
<p>
We have explained how StarPU can overlap computation and data transfers
thanks to DMAs. This is however only possible when CUDA has control over the
application buffers. The application should thus use <a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
application buffers. The application should thus use <a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
when allocating its buffer, to permit asynchronous DMAs from and to
it.
</p>
<p>
Take the vector example again, and fix the allocation, to make it use
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
<a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
</p>
</div>
......@@ -721,7 +721,7 @@ Homepage of the Klang-Omp OpenMP compiler: <a href="http://kstar.gforge.inria.fr
<h2>More Performance Optimizations</h2>
<p>
The StarPU
documentation <a href="http://starpu.gforge.inria.fr/doc/html/PerformanceFeedback.html">performance
documentation <a href="/files/doc/html/PerformanceFeedback.html">performance
feedback chapter</a> provides more optimization tips for further
reading after this tutorial.
</p>
......
......@@ -359,7 +359,7 @@ STARPU_NCPU=0 STARPU_NCUDA=0 ./vector_scal_task_insert
You can set the environment variable STARPU_WORKER_STATS to 1 when
running your application to see the number of tasks executed by each
device. You can see the whole list of environment
variables <a href="http://starpu.gforge.inria.fr/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
variables <a href="/files/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
</p>
<tt>
......@@ -531,9 +531,9 @@ have been easily ported to StarPU by simply using <tt>starpu_insert_task</tt>.
<p>
Take the vector example again, and add partitioning support to it, using the
matrix-matrix multiplication as an example. Here we will use the
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
<a href="/files/doc/html/group__API__Data__Partition.html#ga212189d3b83dfa4e225609b5f2bf8461"><tt>starpu_vector_filter_block()</tt></a> filter function. You can see the list of
predefined filters provided by
StarPU <a href="http://starpu.gforge.inria.fr/doc/html/starpu__data__filters_8h.html">here</a>.
StarPU <a href="/files/doc/html/starpu__data__filters_8h.html">here</a>.
</p>
<p>
By using the SimGrid version of StarPU, you may when running a
......@@ -567,7 +567,7 @@ by the number of sub-data you defined in <tt>struct
<p>
This is based on StarPU's documentation
<a href="http://starpu.gforge.inria.fr/doc/html/CheckListWhenPerformanceAreNotThere.html">optimization
<a href="/files/doc/html/CheckListWhenPerformanceAreNotThere.html">optimization
chapter.</a>
</p>
......@@ -577,14 +577,14 @@ This is based on StarPU's documentation
<p>
We have explained how StarPU can overlap computation and data transfers
thanks to DMAs. This is however only possible when CUDA has control over the
application buffers. The application should thus use <a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
application buffers. The application should thus use <a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>
when allocating its buffer, to permit asynchronous DMAs from and to
it.
</p>
<p>
Take the vector example again, and fix the allocation, to make it use
<a href="http://starpu.gforge.inria.fr/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
<a href="/files/doc/html/group__API__Standard__Memory__Library.html#ga49603eaea3b05e8ced9ba1bd873070c3"><tt>starpu_malloc()</tt></a>.
</p>
</div>
......@@ -882,7 +882,7 @@ Homepage of the Klang-Omp OpenMP compiler: <a href="http://kstar.gforge.inria.fr
<div class="section">
<h2>More Performance Optimizations</h2>
<p>
The StarPU <a href="http://starpu.gforge.inria.fr/doc/html/OfflinePerformanceTools.html">performance
The StarPU <a href="/files/doc/html/OfflinePerformanceTools.html">performance
feedback chapter</a> provides more optimization tips for further
reading after this tutorial.
</p>
......
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