PetaVision.github.io/index.html at master · PetaVision/PetaVision.github.io · GitHub

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        <h1>
<a id="what-is-petavision" class="anchor" href="#what-is-petavision" aria-hidden="true"><span class="octicon octicon-link"></span></a>What is PetaVision?</h1>

<p>PetaVision is an open source, object oriented neural simulation toolbox optimized for high-performance multi-core, multi-node
computer architectures. PetaVision is intended for computational neuroscientists who seek to apply neuromorphic models to hard signal processing problems; both to improve on the performance of existing algorithms and/or to gain insight into the computational mechanisms underlying biological neural processing.</p>

<h2>
  <a id="core-petavision-features" class="anchor" href="#core-petavision-features" aria-hidden="true"><span class="octicon octicon-link"></span></a>Core PetaVision Features:
</h2>

<ul>
<li>Open-sourced and developer-friendly</li>
<li>C/C++ for fast execution and OOP</li>
<li>Optimized for parallelization (OpenMP, MPI, cuDNN)</li>
<li>Based on local connectivity</li>
<li>Experiments defined through a text file</li>
</ul>

<h2>
  <a id="how-has-petavision-been-used" class="anchor" href="#how-has-petavision-been-used" aria-hidden="true"><span class="octicon octicon-link"></span></a>How has PetaVision been used?
</h2>

<p>Petavision has been used on a range of vision and learning tasks including depth inference, action classification, and learning from multiple intelligence streams including weather and commodity prices. PetaVision has been used to perform image classification, sound analysis, and image-rescaling and is flexible enough to grow with your imagination.</p>

<h2>
  <a id="getting-started" class="anchor" href="#getting-started" aria-hidden="true"><span class="octicon octicon-link"></span></a>Getting Started
</h2>
<p>Installation instructions can be found on our <a href="http://petavision.github.io/doxygen/index.html">documentation</a> page. Jump over to our <a href="https://github.com/PetaVision/OpenPV/wiki/LCA-CIFAR-Tutorial">wiki tutorial page</a> to get started with a basic example of running PetaVision. Our code is documented using <a href="http://www.stack.nl/~dimitri/doxygen/">doxygen</a>.

<h2>
  <a id="petavision-aws" class="anchor" href="#petavision-aws" aria-hidden="true"><span class="octicon octicon-link"></span></a>
</h2>
<p>If you have an account on Amazon Web Services, you can try PetaVision using our public AMI on <a href="http://aws.amazon.com/">aws.amazon.com</a>.  Search for "PetaVision Public AMI" and start an instance.  Use a GPU instance (e.g.&nbsp;g2.8xlarge) to take full advantage of PetaVision's acceleration toolkit.  Follow the instructions in our <a href="http://petavision.github.io/doxygen/md_docs_doxygen_src_install_aws.html">documentation for AWS</a> to get started.</p>

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