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