On 2020-02-02 19:25, beowulf-requ...@beowulf.org wrote:
On Sat, 1 Feb 2020 22:21:09 -0500, you wrote:
>Should I consider Solaris or illumos?
Unless you are absolutely sure the software you want to run works on
Solaris, using Solaris/Illumos is likely asking for trouble.
I'm testing FreeBSD right now and will test *SunOS before commiting a full
deployment.

Stop wasting time on that - support for OS's other than linux for academically maintained scientific software is spotty at best. The only one that even comes close is OS X, because a lot of academics have Macs, but it would be super expensive to build a cluster out of those. Moreover, many developers, in biology at least, have pretty much given up on portability and focus on providing docker images. In those cases you may find that building from source (needed for maximum performance) on even common variants like CentOS can be difficult.

My initial 3 nodes are socket 940 Opteron based.

Fine chip in its time, which is however long past. Even a 5 year old Xeon will run rings around. I say that having just thrown out the last of my Opterons and replaced them with 5 year old Xeons!

A bit of research up front on memory and cpu requirments for the software you want to run should pay off performance wise in the final cluster. Some code demands a lot of memory but can barely make use of a second core while other software is exactly the other way around. If the processing is split between different machines the speed and type of network connection will be an issue. You need some handle on this before you start buying hardware because both "a lot of memory" and "a lot of cores" ups the cost.

Consider also that you might want to run GPU versions of some programs. When that is available it can be a significant performance enhancement. Will each of your nodes be able to support a GPU? Plan ahead as these often have quite large power requirements which may overload your supply circuits or overwhelm a room's A/C.

Regards,

David Mathog
mat...@caltech.edu
Manager, Sequence Analysis Facility, Biology Division, Caltech
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