Azure does offer InfiniBand based VM's, and CentOS is one of their six primary 
distributions.   

http://azure.microsoft.com/en-us/documentation/articles/virtual-machines-linux-endorsed-distributions/

I wish I had more to offer on the subject, I joined this community as a 
personal choice to try to learn more about HPC and Beowulf type clusters(very 
new to it that technology area).   I am an Azure architect though, so am happy 
to answer questions regarding Azure.  

Jason
202-309-0116

-----Original Message-----
From: Beowulf [mailto:[email protected]] On Behalf Of Prentice Bisbal
Sent: Friday, May 8, 2015 9:41 AM
To: [email protected]
Subject: Re: [Beowulf] HPC in the cloud question

Mike,

What are the characteristics of your cluster workloads? Are they tightly 
coupled jobs, or are they embarassingly parallel or serial jobs? I find it hard 
to believe that a virtualized, ethernet shared network infrastructure can 
compete with FDR IB for performance on tightly coupled jobs. AWS HPC 
representatives came to my school to give a presentation on their offerings, 
and even they admitted as much.

If your workloads are communication intensive, I'd think harder about using the 
cloud, or find a cloud provider that provides IB for HPC (there are a few that 
do, but I can't remember their names).  If your workloads are loosely-coupled 
jobs or many serial jobs, AWS or similar might be fine. AWS does not provide 
IB, and in fact shares very little information about their network 
architecture, making it had to compare to other offerings without actually 
running benchmarks.

If your users primarily interact with the cluster through command-line logins, 
using the cloud shouldn't be noticeably different the
hostname(s) they have to SSH to will be different, and moving data in an out 
might be different, but compiling and submitting jobs should be the same if you 
make the same tools available in the cloud that you have on your local clusters.

Prentice



On 05/07/2015 06:28 PM, Hutcheson, Mike wrote:
> Hi.  We are working on refreshing the centralized HPC cluster 
> resources that our university researchers use.  I have been asked by 
> our administration to look into HPC in the cloud offerings as a 
> possibility to purchasing or running a cluster on-site.
>
> We currently run a 173-node, CentOS-based cluster with ~120TB (soon to 
> increase to 300+TB) in our datacenter.  It¹s a standard cluster
> configuration:  IB network, distributed file system (BeeGFS.  I really 
> like it), Torque/Maui batch.  Our users run a varied workload, from 
> fine-grained, MPI-based parallel aps scaling to 100s of cores to 
> coarse-grained, high-throughput jobs (We¹re a CMS Tier-3 site) with 
> high I/O requirements.
>
> Whatever we transition to, whether it be a new in-house cluster or 
> something ³out there², I want to minimize the amount of change or 
> learning curve our users would have to experience.  They should be 
> able to focus on their research and not have to spend a lot of their 
> time learning a new system or trying to spin one up each time they have a job 
> to run.
>
> If you have worked with HPC in the cloud, either as an admin and/or 
> someone who has used cloud resources for research computing purposes, 
> I would appreciate learning your experience.
>
> Even if you haven¹t used the cloud for HPC computing, please feel free 
> to share your thoughts or concerns on the matter.
>
> Sort of along those same lines, what are your thoughts about leasing a 
> cluster and running it on-site?
>
> Thanks for your time,
>
> Mike Hutcheson
> Assistant Director of Academic and Research Computing Services Baylor 
> University
>
>
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