[Beowulf] HPC cloud bursting providers?

[Waleed Harbi]

Hi,
We have great POC results for VASP, Gaussian, and Matlab on Public Cloud in
Saudi Arabia.

I will make it simple If you want run MPI jobs go for Azure they have IB,
other options such as AWS will not fit for MPI jobs but they are excellent
for serial jobs such as  Gaussian. Overall you need build cost effective
workflow.

The biggest challenges, manage TOC and secure IP for research results with
the vendors.

Thanks!


On Tue, Feb 21, 2017 at 12:07 PM Tim Cutts <tjrc at sanger.ac.uk> wrote:

> We don't actively use it, but we have demonstrated we can extend our LSF
> clusters into AWS.  I'm sure it could be done just as easily to other
> public cloud platforms.
>
> It's a more practical prospect for us than for many traditional HPC sites,
> because most of our workloads are embarrassingly parallel single threaded
> tasks.
>
> Having said that, many of our tasks require a lot of RAM, and public cloud
> VMs tend to get disproportionately expensive if you want a lot of RAM per
> thread.
>
> Cloudbursting is also not particularly great if your datasets are large,
> since obviously you lose both time and money shipping the data in and out
> of the public cloud.
>
> So technically it's fairly easy to do, but whether it's worthwhile is very
> workload-dependent.
>
> Regards,
>
> Tim
>
> --
> Head of Scientific Computing
> Wellcome Trust Sanger Institute
>
> On 21/02/2017, 00:03, "Beowulf on behalf of Jeff Friedman" <
> beowulf-bounces at beowulf.org on behalf of
> jeff.friedman at siliconmechanics.com> wrote:
>
>     Hi all,
>
>     Has anyone dealt with bursting from an on-prem HPC cluster to the
> cloud before? Are there any providers that stand out in this category?
> Quick searches reveal the usual suspects (AWS, Google, etc). Just wondered
> what real world experience has to say… :)
>
>     Thanks!
>
>     Jeff Friedman
>     Sales Engineer
>     c: 206.819.2824
>     www.siliconmechanics.com
>
>
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>
>
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--------------------------
Cheers!
Walid
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