<div dir="ltr"><div>Hi, Gavin, <br><br>It seems to be an inevitable conclusion that in the view of the authors of the Report Beowulf is not HPC.<br><br></div>All the best<br></div><div class="gmail_extra"><br><br><div class="gmail_quote">
On Thu, Aug 28, 2014 at 7:26 PM, Gavin W. Burris <span dir="ltr"><<a href="mailto:bug@wharton.upenn.edu" target="_blank">bug@wharton.upenn.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi, Bill.<br>
<br>
This is perplexing...<br>
<br>
So, the Linux kernel and supporting tools that make the operating system aren't<br>
being factored in here? The compiler? The libraries? If "very little open<br>
source" has "made its way into broad use within HPC," what OS are the majority<br>
running if not Linux? This seem to be greatly uninformed, or pushing an<br>
agenda. The only way I can see this excerpt as even remotely true would be if<br>
you applied a very narrow survey to a specific application set. But that<br>
narrow view does not apply to a full operational stack or all of HPC in<br>
general! I'm baffled, because this does not jive with my lay of the land.<br>
<br>
Cheers.<br>
<div class="HOEnZb"><div class="h5"><br>
On 07:29PM Wed 08/27/14 -0700, Bill Broadley wrote:<br>
><br>
> The URL:<br>
> <a href="http://energy.gov/seab/downloads/draft-report-task-force-high-performance-computing" target="_blank">http://energy.gov/seab/downloads/draft-report-task-force-high-performance-computing</a><br>
><br>
> One piece I found particularly interesting:<br>
><br>
> There has been very little open source that has made its way into broad use<br>
> within the HPC commercial community where great emphasis is placed on<br>
> serviceability and security. There is a better track record in data analytics<br>
> recently with map/reduce as a notable example. This is less of an issue for<br>
> universities or national laboratories but they represent no more than about<br>
> 10%-15% of all HPC usage. Of course, one cannot “force” the adoption of open<br>
> source but one should also not plan on it being a panacea to any ecosystem<br>
> shortcoming. A focus investment effort within universities could expand the<br>
> volume of open source and increase the chances that some of the software<br>
> output could become commercialized. It should be noted that the most<br>
> significant consumption of open source software is China and it is also the<br>
> case that the Chinese are rare contributors to open source as well.<br>
> Investments in open source or other policy actions to stimulate creation are<br>
> likely to produce a disproportionate benefit accruing to the Chinese.<br>
><br>
><br>
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<br>
</div></div><span class="HOEnZb"><font color="#888888">--<br>
Gavin W. Burris<br>
Senior Project Leader for Research Computing<br>
The Wharton School<br>
University of Pennsylvania<br>
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