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......@@ -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="./files/doc/html/">HTML</a>.</span>
Please note that these documents are up-to-date with the latest release of
StarPU.
</p>
......@@ -216,10 +216,10 @@ programmer with best flexibility:
while tasks previously submitted are being executed.
</p>
<p>
StarPU also supports an OpenMP-like <a href="doc/html/DataManagement.html#DataReduction">reduction</a> access mode (new in v0.9).
StarPU also supports an OpenMP-like <a href="files/doc/html/DataManagement.html#DataReduction">reduction</a> access mode (new in v0.9).
</p>
<p>
It also supports a <a href="doc/html/DataManagement.html#DataCommute">commute</a> access mode to allow data access commutativity (new in v1.2).
It also supports a <a href="files/doc/html/DataManagement.html#DataCommute">commute</a> access mode to allow data access commutativity (new in v1.2).
</p>
<p>
......@@ -251,7 +251,7 @@ negligible.
<h4>Clusters</h4>
<p>
To deal with clusters, StarPU can nicely integrate with <a
href="doc/html/MPISupport.html">MPI</a>, through explicit or implicit
href="files/doc/html/MPISupport.html">MPI</a>, through explicit or implicit
support, according to the application's preference.
<ul>
......@@ -277,7 +277,7 @@ above.
<h4>Out of core</h4>
<p>
When memory is not big enough for the working set, one may have to resort to
using disks. StarPU makes this seamless thanks to its <a href="doc/html/OutOfCore.html">out of core support</a> (new in v1.2).
using disks. StarPU makes this seamless thanks to its <a href="files/doc/html/OutOfCore.html">out of core support</a> (new in v1.2).
StarPU will <b>automatically evict</b> data from the main memory in advance, and
<b>prefetch back</b> required data before it is needed for tasks.
</p>
......@@ -286,7 +286,7 @@ StarPU will <b>automatically evict</b> data from the main memory in advance, and
<h4>Extensions to the C Language</h4>
<p>
StarPU comes with a GCC plug-in
that <a href="doc/html/cExtensions.html">extends the C programming
that <a href="files/doc/html/cExtensions.html">extends the C programming
language</a> with pragmas and attributes that make it easy
to <b>annotate a sequential C program to turn it into a parallel
StarPU program</b> (new in v1.0).
......@@ -312,7 +312,7 @@ StarPU will <b>automatically evict</b> data from the main memory in advance, and
<h4>OpenCL-compatible interface</h4>
<p>
StarPU provides an <a href="doc/html/SOCLOpenclExtensions.html">OpenCL-compatible interface, SOCL</a>
StarPU provides an <a href="files/doc/html/SOCLOpenclExtensions.html">OpenCL-compatible interface, SOCL</a>
which allows to simply run OpenCL applications on top of StarPU (new in v1.0).
</p>
......
......@@ -249,7 +249,7 @@ 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://runtime.bordeaux.inria.fr/StarPU/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
variables <a href="/files/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
</p>
<tt><pre>
......@@ -419,9 +419,9 @@ 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://runtime.bordeaux.inria.fr/StarPU/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://runtime.bordeaux.inria.fr/StarPU/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>
......@@ -433,7 +433,7 @@ Try to run it with various numbers of tasks.
<p>
This is based on StarPU's documentation
<a href="http://runtime.bordeaux.inria.fr/StarPU/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
<a href="/files/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
chapter</a>
</p>
......@@ -443,14 +443,14 @@ 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://runtime.bordeaux.inria.fr/StarPU/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://runtime.bordeaux.inria.fr/StarPU/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>
......@@ -648,7 +648,7 @@ For any questions regarding StarPU, please contact the StarPU developers mailing
<h2>More Performance Optimizations</h2>
<p>
The StarPU
documentation <a href="http://runtime.bordeaux.inria.fr/StarPU/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>
......
......@@ -287,7 +287,7 @@ 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://runtime.bordeaux.inria.fr/StarPU/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
variables <a href="/files/doc/html/ExecutionConfigurationThroughEnvironmentVariables.html">here</a>.
</p>
<tt>
......@@ -463,9 +463,9 @@ 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://runtime.bordeaux.inria.fr/StarPU/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://runtime.bordeaux.inria.fr/StarPU/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>
......@@ -477,7 +477,7 @@ Try to run it with various numbers of tasks.
<p>
This is based on StarPU's documentation
<a href="http://runtime.bordeaux.inria.fr/StarPU/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
<a href="/files/doc/html/HowToOptimizePerformanceWithStarPU.html">optimization
chapter</a>
</p>
......@@ -487,14 +487,14 @@ 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://runtime.bordeaux.inria.fr/StarPU/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://runtime.bordeaux.inria.fr/StarPU/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>
......@@ -698,7 +698,7 @@ For any questions regarding StarPU, please contact the StarPU developers mailing
<h2>More Performance Optimizations</h2>
<p>
The StarPU
documentation <a href="http://runtime.bordeaux.inria.fr/StarPU/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>
......
......@@ -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>
......
......@@ -27,7 +27,7 @@
<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>
......@@ -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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