<div dir="ltr">There is concern by some and outright declaration by others (including hardware vendors) that MPI will not scale to exascale due to issues like rank state growing too large for 10-100 million endpoints, lack of reliability, etc. Those that make this claim then offer up their favorite solution (a PGAS variant, Chapel, Legion, Open Community Runtime). Several assert that the event-driven/task-driven runtimes will take care of data partitioning, data movement, etc. and that the user only has to define relationships and dependencies while exposing as much parallelism as possible.<div><br></div><div>The domain scientists shudder at the thought of rewriting existing codes, some of which have existed for decades. If they do get funding to rewrite, which new programming model should they pick? At this point, there is no clear favorite.</div><div><br></div><div><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Apr 8, 2015 at 2:31 PM, Prentice Bisbal <span dir="ltr"><<a href="mailto:prentice.bisbal@rutgers.edu" target="_blank">prentice.bisbal@rutgers.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">I got annoyed by this article and had to stop reading it. I'll go back later and try to give it a proper critique, but obviously disagree with most of what I've read so far. Right of the bat, the author implies that Big Data = HPC, and I disagree with that.<br>
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More ranting to come....<span class="HOEnZb"><font color="#888888"><br>
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Prentice</font></span><div class="HOEnZb"><div class="h5"><br>
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On 04/08/2015 01:16 PM, H. Vidal, Jr. wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Curious as to what the body of thought is here on this article:<br>
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<a href="http://www.dursi.ca/hpc-is-dying-and-mpi-is-killing-it/" target="_blank">http://www.dursi.ca/hpc-is-<u></u>dying-and-mpi-is-killing-it/</a><br>
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