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<div class="category closed"><a href="../index.html" title="The root of the site.">CUDA Toolkit
v10.1.168</a></div>
<div class="category"><a href="index.html" title="GPU Library Advisor">GPU Library Advisor</a></div>
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<div class="section-link"><a href="#overview">1. Overview</a></div>
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<div class="section-link"><a href="#usage">2. Usage</a></div>
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<div id="release-info">GPU Library Advisor
(<a href="../../pdf/GPU_Library_Advisor.pdf">PDF</a>)
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v10.1.168
(<a href="https://developer.nvidia.com/cuda-toolkit-archive">older</a>)
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Last updated April 24, 2019
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<div class="topic nested0" id="abstract"><a name="abstract" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#abstract" name="abstract" shape="rect">GPU Library Advisor</a></h2>
<div class="body conbody">
<p class="shortdesc">The application notes for NVIDIA GPU Library Advisor.</p>
</div>
</div>
<div class="topic concept nested0" id="overview"><a name="overview" shape="rect">
<!-- --></a><h2 class="title topictitle1"><a href="#overview" name="overview" shape="rect">1. Overview</a></h2>
<div class="body conbody">
<p class="p">The NVIDIA GPU Library Advisor is a cross-platform analysis tool
that identifies opportunities to improve application performance
by replacing existing CPU libraries with GPU-accelerated versions
of those libraries. It is designed as a simple to use tool that
provides first level information by listing GPU-accelerated library
opportunities. It is recommended that a Profiler like NVProf be
used to determine the performance impact of replacing a CPU library
with the GPU-accelerated version.
</p>
<p class="p">Many standard libraries like (MKL) BLAS, FFTW and Intel IPP have
GPU-accelerated versions that provide significant performance
improvement. For example the cuBLAS library can directly replace
the MKL BLAS library and deliver 6x to 17x faster performance,
depending on your BLAS usage. The GPU Library Advisor identifies
these performance improvement opportunities without requiring the
application source-code to be modified or the application to be rebuilt.
</p>
<p class="p"><strong class="ph b">Note that NVIDIA GPU Library Advisor is deprecated and will be removed
in a future release of CUDA.</strong></p>
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<!-- --></a><h2 class="title topictitle1"><a href="#usage" name="usage" shape="rect">2. Usage</a></h2>
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<div class="p">Here's how to use GPU Library Advisor to analyze your CPU application:
<pre xml:space="preserve">
gpu-library-advisor [options] [application] [app. options]
</pre>
Example for a CPU BLAS matrix-matrix multiplication:
<pre xml:space="preserve">
$ ./gpu-library-advisor ./cpu_blas 1024 1024
CPU Matrix Multiply. Done.
GPU Library Advisor detected that your application uses functions from BLAS level 3 that can be accelerated using NVIDIA CUDA. The NVIDIA NVBLAS library is a GPU-accelerated version of the complete standard BLAS library that often delivers faster performance than optimized implementations on high-end CPUs. The NVBLAS library is freely available and can be used without recompilation of your application. For documentation on the NVBLAS library, please see http://docs.nvidia.com/cuda/nvblas. For more information on the performance and the various BLAS library options available from NVIDIA for GPU acceleration, please see https://developer.nvidia.com/cublas.
</pre></div>
<div class="p">
GPU Library Advisor is designed to be very simple to use and in most
cases GPU Library Advisor does not require any command line arguments.
However, the following options are available:
<pre xml:space="preserve">
--help, -h Print this help information.
--version, -V Print version information.
</pre></div>
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