[Beowulf] Tiered RAM

Jeff Johnson jeff.johnson at aeoncomputing.com
Tue Sep 25 23:40:56 PDT 2018


John,

Did you see this?
https://www.anandtech.com/show/12828/intel-launches-optane-dimms-up-to-512gb-apache-pass-is-here

It's the DDR4 compatible DIMM slot version of Optane as persistent memory.
I have a set of Diablo DIMMs still. These are supposed to act in the same
general way. Livable speeds (compared to DDR4 DIMMs), up to 512GB per DIMM
with the ability to protect and persist memory ranges through reboots/POST
and power cycles. I haven't played with the Optane version firsthand so I'm
going off of what I've heard.

--Jeff

On Tue, Sep 25, 2018 at 8:39 PM John Hearns via Beowulf <beowulf at beowulf.org>
wrote:

> Over on the SLURM list we recently had a very good discussion on swap
> space and job suspension. I commented that for large memory systems we
> should be seeing tiered RAM devices by now.
>
>
> I had a look at the Intel pages on Optane memory. It is definitely
> being positioned as a fast file cache, ie for block
> oriented devices.
>
> https://www.intel.com/content/www/us/en/architecture-and-technology/intel-optane-technology.html
>
> I mentioned Diablo Technologies, who I think have gone out of
> business. They had available a DRAM form-factor high capacity memory
> device using flash. This worked by tiering RAM memory - ie a driver in the
> Linux
> kernel would move little used pages to the slower but higher capacity
> device.
> I though the same thing would apply to Optane, but it seems not.
> Can anyone comment? I do not expect anyone under NDA to comment of course.
>
> I have probably said this on many forums - we are seeing the trend to
> wards higher and higher memory systems, which enable more detailed
> meshes, bigger models and in-memory databases. But do we need huge
> amounts of expensive and fast DRAM to do this?
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-- 
------------------------------
Jeff Johnson
Co-Founder
Aeon Computing

jeff.johnson at aeoncomputing.com
www.aeoncomputing.com
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High-Performance Computing / Lustre Filesystems / Scale-out Storage
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