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svn path=/trunk/boinc/; revision=16708

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David Anderson 2008-12-17 19:20:52 +00:00
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doc/boinc_news.php
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<?
$project_news = array(
array("December 17, 2008",
"BOINC now supports <a href=cuda.php>computing using NVIDIA GPUs</a>.
Two projects currently have GPU-enabled applications:
<a href=http://gpugrid.net/>GPUgrid.net</a> and
<a href=http://setiathome.berkeley.edu/>SETI@home</a>.
If your computer has a recent NVIDIA GPU,
you can compute 2X to 10X faster than with your CPU alone.
"
),
array("December 17, 2008",
"A press release from NVIDIA announcing BOINC's GPU support
is available in
<a href=http://www.imim.es/news/view.php?ID=37>English</a>,
<a href=http://www.imim.es/noticias/view.php?ID=91>Spanish</a>,
and <a href=http://www.imim.es/noticies/view.php?ID=183>Catalan</a>."
),
array("December 16, 2008",
"BOINC 6.4 is now the recommended version for Windows and Linux.
<a href=\"http://boinc.berkeley.edu/download.php\">Upgrade now</a>.
"
"Version 6.4 of the BOINC client software has been released.
This is the recommended version for Windows and Linux.
<a href=\"http://boinc.berkeley.edu/download.php\">Upgrade now</a>.
"
),
array("December 10, 2008",
"<a href=http://aqua.dwavesys.com/>AQUA@home</a> is now open to volunteers. AQUA (Adiabatic QUantum Algorithms) is a research project, based at D-Wave Systems, Inc., whose goal is to predict the performance of superconducting adiabatic quantum computers on a variety of hard problems arising in fields ranging from materials science to machine learning."

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doc/cuda.php Normal file
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<?php
require_once("docutil.php");
page_head("Use your NVIDIA GPU for scientific computing");
echo "
<img align=right width=264 src=images/NV_DesignedFor_CUDA_3D_sm.png>
Most computers are equipped with a
<b>Graphics Processing Unit (GPU)</b>
that handles their graphical output,
including the 3-D animated graphics used in computer games.
The computing power of GPUs has increased rapidly,
and they are now often much faster than
the computer's main processor, or CPU.
<p>
NVIDIA (a leading GPU manufacturer)
has developed a system called CUDA that uses GPUs for scientific computing.
With NVIDIA's assistance,
some BOINC-based projects have applications that run on NVIDIA GPUs using CUDA.
<b>These applications run from 2X to 10X faster than the CPU-only version.
We urge BOINC participants to use them if possible.</b>
<p>
Just follow these instructions:
<p>
<b>1) Check whether your computer has a CUDA-capable GPU</b>
<dd>
CUDA programs work on most newer NVIDIA GPUs.
To find out if your GPU is compatible:
<ul>
<li> Identify the model name of your GPU.
On Windows, right-click on your desktop, and select Properties / Settings / Advanced / Adapter.
Note the Adapter Type and Memory Size.
<li> Check <a href=http://www.nvidia.com/object/cuda_learn_products.html>NVIDIA's list of CUDA-enabled products</a>.
If your GPU is listed here and has at least 256MB of RAM, it's compatible.
</ul>
</dd>
<p>
<b>2) Get the latest NVIDIA driver</b>
<dd>
<a href=http://www.nvidia.com/page/drivers.html>Download and install the latest driver</a> (a reboot will be required).
</dd>
<p>
<b>3) Get the latest BOINC software</b>
<dd>
<a href=download.php>Download and install</a>
version 6.4.5 or later of the BOINC software.
</dd>
<p>
You're done!
Now start up BOINC, and soon you'll be racking up big credit numbers.
<p>
Projects with CUDA applications:
<ul>
<li> <a href=http://gpugrid.net>GPUgrid.net</a>
<li> <a href=http://setiathome.berkeley.edu>SETI@home</a>
</ul>
Of course, you can attach to other projects too;
BOINC will keep both your CPU and GPU busy.
";
page_tail();
?>