Walid,<div>I just wanted to mention genetic algorithms; control engineers use them e.g. in chemical plants to dynamically optimize variable inputs (pressure in a pipe, temperature, ingredient mixes...) for measurable outputs (valuable gunk at the end), the point being that the inter-relations among all the inputs, at the level of precision possible to the machinery, is too esoteric for an exact qualitative model. </div>
<div><br></div><div>I think that managing diverse simultaneous applications (that each flourish in their own mix of bandwidth, cache, numbers of threads on cores &c) where a mix of hardware is available in a heterogeneous cluster, might be a similar challenge.</div>
<div><br></div><div>So if someone were interested in trying a GA for dynamic performance optimization of long-running applications with mixed available hardware I'd be glad to hear of it and I'd want to help.</div>
<div>Peter</div><div><br><div class="gmail_quote">On Sun, Jan 6, 2013 at 8:38 AM, Walid <span dir="ltr"><<a href="mailto:walid.shaari@gmail.com" target="_blank">walid.shaari@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Dear All,<div><br></div><div>At work we are starting to evaluate Configuration management to be used to manage several diverse hpc clusters, and their diverse node types. I wanted to see what are other admins, and HPC users experience like, the ones that we will start evaluating are CFEngine3, Puppet, Chef, Saltstack, ansible, and blueprint. there might other products that we need to evluate in partnership such as Foreman, spacewalk, ..etc. </div>
<div><br></div><div>I would like to hear from you if you did evaluate such tools, or using one, or have a different strategy in keeping and maintaining configurations. </div><div><br></div><div>Thank you,</div><div><br></div>
<div>Walid </div></div>
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