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<!DOCTYPE html>
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<title>SATORI: Getting Started Documentation for Early Access (EA) — MIT Satori User Documentation documentation</title>
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<li class="toctree-l1"><a class="reference internal" href="satori-basics.html">Satori Basics</a><ul>
<li class="toctree-l2"><a class="reference internal" href="satori-basics.html#what-is-satori">What is Satori?</a></li>
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<li class="toctree-l3"><a class="reference internal" href="satori-workload-manager.html#scheduling-policy">Scheduling Policy</a></li>
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<li class="toctree-l2"><a class="reference internal" href="satori-ai-frameworks.html#install-anaconda">[1] Install Anaconda</a></li>
<li class="toctree-l2"><a class="reference internal" href="satori-ai-frameworks.html#wmlce-setting-up-the-software-repository">[2] WMLCE: Setting up the software repository</a></li>
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<li class="toctree-l2"><a class="reference internal" href="satori-ai-frameworks.html#wmlce-installing-all-frameworks-at-the-same-time">[4] WMLCE: Installing all frameworks at the same time</a></li>
<li class="toctree-l2"><a class="reference internal" href="satori-ai-frameworks.html#wmlce-testing-ml-dl-frameworks-pytorch-tensorflow-etc-installation">[5] WMLCE: Testing ML/DL frameworks (Pytorch, TensorFlow etc) installation</a><ul>
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<li class="toctree-l1"><a class="reference internal" href="satori-distributed-deeplearning.html">Distributed Deep Learning</a></li>
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<li class="toctree-l2"><a class="reference internal" href="lsf-templates/satori-lsf-ml-examples.html#a-single-node-4-gpu-keras-example">A single node, 4 GPU Keras example</a></li>
<li class="toctree-l2"><a class="reference internal" href="lsf-templates/satori-lsf-ml-examples.html#a-single-node-4-gpu-caffe-example">A single node, 4 GPU Caffe example</a></li>
<li class="toctree-l2"><a class="reference internal" href="lsf-templates/satori-lsf-ml-examples.html#a-multi-node-pytorch-example">A multi-node, pytorch example</a></li>
<li class="toctree-l2"><a class="reference internal" href="lsf-templates/satori-lsf-ml-examples.html#a-multi-node-pytorch-example-with-the-horovod-conda-environment">A multi-node, pytorch example with the horovod conda environment</a></li>
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<p class="caption"><span class="caption-text">Satori</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
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<h1>SATORI: Getting Started Documentation for Early Access (EA)<a class="headerlink" href="#satori-getting-started-documentation-for-early-access-ea" title="Permalink to this headline">¶</a></h1>
<p>This section provides a “lightning-quick” guide for early access of
Satori users such as:</p>
<ul class="simple">
<li>How to optain your login credentials</li>
<li>How to <a class="reference external" href="satori-ssh.rst" target="_blank">connect in the Satori</a> cluster via
SSH/SCP/HTTPS</li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-ai-frameworks.rst" target="_blank">Installing
Python</a>
environment (Anaconda) on your login profile</li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-ai-frameworks.rst" target="_blank">Installing
WMLCE</a>
optimized Machine Learning and Deep Learning libraries and frameworks
on your login profile</li>
<li>Learn how you can start your trainig jobs.<a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-workload-manager.rst" target="_blank">Examples of training
jobs
submision</a>
and management in the Satori cluster.</li>
<li>How to manage <a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-distributed-deeplearning.rst" target="_blank">distributed deep learning in TensorFlow and
Pytorch</a></li>
<li>Are you training large models that cannot be fit into GPU memory?
Have a look how you can <a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-large-model-support.rst" target="_blank">enable Large Model Support
(LMS)</a>
in your TensorFLow or Pytorch python scripts.</li>
<li>Example of Snap Machine Learning
<a class="reference external" href="https://github.com/IBM/powerai/tree/master/examples/SnapML" target="_blank">(SnapML/pai4sk)</a></li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-training.rst" target="_blank">Additional
trainings</a>
(video format) for CUDA UNIFIED MEMORY, GPUDirect, LSF Workload
Manager, POWER9 SMT4 etc</li>
<li><a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-public-datasets.rst" target="_blank">Public Datasets for Machine Learning and Deep Learning</a> on Satori that can be used day 1 in your deep learning projects. Will save your time and our Internet bandwith :)</li>
<li><a class="reference external" href="satori-troubleshooting.rst" target="_blank">Troubleshooting</a></li>
<li>You don’t find what you where looking for? have a look to <a class="reference external" href="https://github.com/mit-satori/getting-started/blob/master/satori-conda-cheatsheet.pdf" target="_blank">conda
cheet
sheet</a>
and WMLCE extended documentation
<a class="reference external" href="https://www.ibm.com/support/knowledgecenter/SS5SF7_1.6.2/navigation/wmlce_getstarted.html" target="_blank">here</a>
before asking for help.</li>
</ul>
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