<li>BLAS/LAPACK (The configure of ScalFMM is different if the MKL is used or not, but with the MKL it is recommended to set environment variable <code>MKLROOT</code>)</li>
<li>CUDA (>= 7) and <code>CUDA_PATH</code> must be set. In our case, <code>CUDA_PATH=/usr/local/cuda-7.5/</code></li>
<li><strong>Optional</strong> Vite (from <code>sudo apt-get install vite</code> or see <ahref="http://vite.gforge.inria.fr/download.php"class="uri">http://vite.gforge.inria.fr/download.php</a>)</li>
<li><strong>Optional</strong> Qt5 library to be able to change the colors of the execution traces in order to visualize the different FMM operators</li>
</ul>
<blockquote>
<p>Some installations of CUDA does not have libcuda file. In this case, one needs to create a link : <code>sudo ln /usr/local/cuda-7.5/lib64/libcudart.so /usr/local/cuda-7.5/lib64/libcuda.so</code></p>
...
...
@@ -26,9 +27,14 @@
<h3id="working-directory">Working directory</h3>
<p>The variable <code>SCALFMM_TEST_DIR</code> is used to specify the working directory:</p>
<p>In order to be able to stop the tutorial in the middle and restart later, we will keep the register variables in a file that should be source to restart.</p>
<p><strong>Optional</strong> In case you do not want to use trace (FXT) please remove the <code>--with-fxt=$SCALFMM_FXT_DIR</code> parameter from the command</p>
<p>For test case <code>-nb 10000000</code> (10 million) and <code>-h 6</code> (height of the tree equal to 6), we first want to know the best granularity <code>-bs</code>.</p>
<p>This parameter will certainly not be the same for sequential/parallel/heterogenous configurations.</p>
@@ -21,6 +21,7 @@ In order to follow this tutorial, it is needed to have the following application
* BLAS/LAPACK (The configure of ScalFMM is different if the MKL is used or not, but with the MKL it is recommended to set environment variable `MKLROOT`)
* CUDA (>= 7) and `CUDA_PATH` must be set. In our case, `CUDA_PATH=/usr/local/cuda-7.5/`
* __Optional__ Vite (from `sudo apt-get install vite` or see [http://vite.gforge.inria.fr/download.php](http://vite.gforge.inria.fr/download.php))
* __Optional__ Qt5 library to be able to change the colors of the execution traces in order to visualize the different FMM operators
> Some installations of CUDA does not have libcuda file.
> In this case, one needs to create a link : `sudo ln /usr/local/cuda-7.5/lib64/libcudart.so /usr/local/cuda-7.5/lib64/libcuda.so`
...
...
@@ -38,11 +39,20 @@ In order to follow this tutorial, it is needed to have the following application
The variable `SCALFMM_TEST_DIR` is used to specify the working directory:
```bash
export SCALFMM_TEST_DIR=~/scalfmm_test
mkdir$SCALFMM_TEST_DIR
if[[!-d$SCALFMM_TEST_DIR]];then
mkdir$SCALFMM_TEST_DIR
fi
cd$SCALFMM_TEST_DIR
```
*Output variables:*`$SCALFMM_TEST_DIR`
In order to be able to stop the tutorial in the middle and restart later, we will keep the register variables in a file that should be source to restart.
```bash
function scalfmmRegisterVariable(){echo"export $1=${!1}">>"$SCALFMM_TEST_DIR/environment.source";}
