[<prev] [next>] [thread-next>] [day] [month] [year] [list]
Message-ID: <ccdbb0d7-d043-d41f-508b-4a464ffa5fe9@molgen.mpg.de>
Date: Tue, 30 Nov 2021 12:58:10 +0100
From: Paul Menzel <pmenzel@...gen.mpg.de>
To: linux-raid@...r.kernel.org
Cc: LKML <linux-kernel@...r.kernel.org>,
linux-accelerators@...ts.ozlabs.org, linux-nvme@...ts.infradead.org
Subject: Using aGPU for RAID calculations (proprietary GRAID SupremeRAID)
Dear Linux folks,
I read about GRAID SupremeRAID [1], which seems to be an Nvidia T1000
card and software to use the card for RAID calculations.
> GRAID SupremeRAID works by installing a virtual NVMe controller onto
> the operating system and integrating a PCIe device into the system
> equipped with a high-performance AI processor to handle all RAID
> operations of the virtual NVMe controller
According to the review *GRAID SupremeRAID SR-1000 Review* [2] it
performs quite well. I couldn’t find any driver files online.
Now I am wondering, why a graphics card seems to help so much. What
operations are there, modern CPUs cannot keep up with?
If GPUs are that much better, are people already working on a FLOSS
solution for the Linux kernel, so people can “just” plug in a graphics
card to increase the speed?
Does the Linux kernel already have an API to offload calculations to
accelerator cards, so it’s basically plug and play (with AMD graphics
cards for example using HSA/KFD)? Entropy sources, like the ChaosKey
[3], work like that. If not, would the implementation go under `lib/raid6`?
Kind regards,
Paul
[1]:
https://www.graidtech.com/post/graid-reveals-the-next-generation-of-enterprise-data-protection-nvme-ssds
[2]: https://www.storagereview.com/review/graid-supremeraid-sr-1000-review
[3]: https://altusmetrum.org/ChaosKey/
Powered by blists - more mailing lists