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<html>
<p>The models for the papers:
</p><ol>
<li/><p>Magalhaes BR, Sterling T, Hines M, Schurmann F (2019) Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks Computational Science -- ICCS 2019, Rodrigues, Joao M. F. and Cardoso, Pedro J. S. and Monteiro, Janio and Lam, Roberto and Krzhizhanovskaya, Valeria V. and Lees, Michael H. and Dongarra, Jack J. and Sloot, Peter M.A., ed. pp.421
<a href="http://dx.doi.org/10.1007/978-3-030-22744-9_33">http://dx.doi.org/10.1007/978-3-030-22744-9_33</a>
</p>
<li/><p>Magalhaes BRC, Sterling T, Hines M, Schurmann F (2019) Asynchronous Branch-Parallel Simulation of Detailed Neuron Models. Front Neuroinform 13:54
    <a href="http://dx.doi.org/10.3389/fninf.2019.00054">http://dx.doi.org/10.3389/fninf.2019.00054</a>
</p>
<li/><p>Magalhaes B, Hines M, Sterling T, Schurmann F (2019) Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) :176-187
<a href="http://dx.doi.org/10.1109/IPDPS.2019.00028">http://dx.doi.org/10.1109/IPDPS.2019.00028</a>
</p>
<li/><p>Magalhaes B, Hines M, Sterling T, Schuermann F (2020) Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS)
</p>
<p>are available at the authors github repository
</p>
<p><a href="https://github.com/BlueBrain/neurox">https://github.com/BlueBrain/neurox</a>
</p>
<p>A command line flag activates the functionalities of those papers. To be
specific the papers are activated by these flags
</p>
<ul>
  <li>Cache-efficiency and async. execution described on "Fully-Asynchronous
Cache-Efficient Simulation of Detailed Neural Networks"
<p>   activated by 
  "-A 0" or "--synchronizer 0"
</p>
  </li><li>"Branch-Parallel Simulation of Detailed Neuron Models"
</li>
<p>activated with "-B" or  "--branch-parallelism"
</p>
  <li/>"Exploiting Flow Graph of System of ODEs to Accelerate the Simulation
of Biologically-Detailed Neural Networks"
<p>activated by  "-G" or "--graph-parallelism"
</p>
  <li>"Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep
Simulation of Neural Networks"

<p>activated by flags  "-A 0 -i 0"</p>
</li></ul></html>

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