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<p class="MsoNormal"><span style="font-size:11.0pt">I would like to evaluate the use of MAKER on AWS, but I am unsure what the best approach to parallelization would be.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">I found this old post on STARCLUSTER, http://efish.integrativebiology.msu.edu/2015/02/10/annotate.html<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">but my understanding is that STARCLUSTER and its successors (cfncluster and parallel cluster) can be challenging to set up and use.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">So my questions are<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">1. Has anyone had recent success running MAKER on cfncluster or parallel cluster in AWS?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">2. Would it be reasonable to just split up N chromosomes across N ECS instances and collect the results at the end? If so, does it make sense to run each chromosome level annotation on for example an m4.16xlarge
instance with 64 cores and 256 GB of RAM? Or is there a maximum number of cores at which the benefits from parallelization saturate?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Thanks and sorry for the long question<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Keith<o:p></o:p></span></p>
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