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<div>Very much so.</div>
<div>Dumb sequential search in ram is probably faster than a fancy indexing scheme on disk.</div>
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<div>And if your data set fits in RAM, why not.</div>
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<span style="font-weight:bold">From: </span>Beowulf <<a href="mailto:beowulf-bounces@beowulf.org">beowulf-bounces@beowulf.org</a>> on behalf of John Hearns <<a href="mailto:hearnsj@googlemail.com">hearnsj@googlemail.com</a>><br>
<span style="font-weight:bold">Date: </span>Friday, January 22, 2016 at 5:33 AM<br>
<span style="font-weight:bold">To: </span>"<a href="mailto:beowulf@beowulf.org">beowulf@beowulf.org</a>" <<a href="mailto:beowulf@beowulf.org">beowulf@beowulf.org</a>><br>
<span style="font-weight:bold">Subject: </span>[Beowulf] Pretty Big Data<br>
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<div dir="ltr">Cubedrone has it today:
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<div><a href="http://cubedrone.com/">http://cubedrone.com/</a><br>
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<div>A very perceptive cartoon!</div>
<div>And lets just think - with non-volatile RAM why don't we keep everything in RAM.</div>
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<div>Also look at this article by Nicole Hemsoth:</div>
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<div><a href="http://www.nextplatform.com/2016/01/12/the-slow-death-of-the-parallel-file-system/">http://www.nextplatform.com/2016/01/12/the-slow-death-of-the-parallel-file-system/</a><br>
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<div>Burst buffer style storage on all your notes, writing down to a cheap, slow layer.</div>
<div>the traditional parallel filesystem may have its days numbered.</div>
<div>And I think this could happen faster than you think.</div>
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