I'd love to participate in this discussion.

You mention the 2 different models (single command vs. multi-command).  Just as 
a reminder, there are specific reasons for those 2 different models.

Some applications know both the source and the destination, so can use the 
single command model (the application is aware it is doing a copy).  But, there 
is a group of applications that do NOT know both pieces of information at the 
same time, in the same thread, in the same context (the application is NOT 
aware it is doing a copy - the application thinks it is doing reads and writes).

That is why there are 2 different models - because the application engineers 
didn't want to change their application.  So, the author of the CP application 
(the shell copy command) wanted to use the existing READ / WRITE model (2 
commands).  Just replace the READ with "get the data ready" and replace the 
WRITE with "use the data you got ready".  It was easier for that application to 
use the existing model, rather than totally redesigning the application.

But, other application engineers had a code base that already knew a copy was 
happening, and their code already knew both the source and destination in the 
same code path. A BACKUP application is one that generally fits into this camp. 
 So, it was easier for that application to replace that function with a single 
copy request.  Another application was a VM mastering/replicating application 
that could spin up new VM images very quickly - the source and destination are 
known to be able to use a single request.

When this offload journey began, both interfaces were needed and used.  But 
yes, it did bifurcate the space, creating 2 camps of engineers - each with 
their favorite method (based on the application where they planned to use it).  
Each camp of engineers often sees no reason that the other camp can't just 
switch to do it the way they do - if they'd only see the light.  But, 
originally, there were 2 different sets of requirements that each drove a 
specific design of a copy offload model.

Even NVMe has recently joined the copy offload camp with a new COPY command 
(single namespace, multiple source ranges, single destination range - works 
well for defrag, and other use cases). I'm confident its capabilities will grow 
over time.

SO, I think this will be a great discussion to have!!!

        Fred Knight



-----Original Message-----
From: Chaitanya Kulkarni <chaitanya.kulka...@wdc.com> 
Sent: Monday, May 10, 2021 8:16 PM
To: linux-bl...@vger.kernel.org; linux-s...@vger.kernel.org; 
linux-n...@lists.infradead.org; dm-devel@redhat.com; 
lsf...@lists.linux-foundation.org
Cc: ax...@kernel.dk; msnit...@redhat.com; bvanass...@acm.org; 
martin.peter...@oracle.com; rol...@purestorage.com; mpato...@redhat.com; Hannes 
Reinecke <h...@suse.de>; kbu...@kernel.org; rwhee...@redhat.com; h...@lst.de; 
Knight, Frederick <frederick.kni...@netapp.com>; zach.br...@ni.com; 
osan...@fb.com
Subject: [LSF/MM/BFP ATTEND] [LSF/MM/BFP TOPIC] Storage: Copy Offload

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Hi,

* Background :-
-----------------------------------------------------------------------

Copy offload is a feature that allows file-systems or storage devices to be 
instructed to copy files/logical blocks without requiring involvement of the 
local CPU.

With reference to the RISC-V summit keynote [1] single threaded performance is 
limiting due to Denard scaling and multi-threaded performance is slowing down 
due Moore's law limitations. With the rise of SNIA Computation Technical 
Storage Working Group (TWG) [2], offloading computations to the device or over 
the fabrics is becoming popular as there are several solutions available [2]. 
One of the common operation which is popular in the kernel and is not merged 
yet is Copy offload over the fabrics or on to the device.

* Problem :-
-----------------------------------------------------------------------

The original work which is done by Martin is present here [3]. The latest work 
which is posted by Mikulas [4] is not merged yet. These two approaches are 
totally different from each other. Several storage vendors discourage mixing 
copy offload requests with regular READ/WRITE I/O. Also, the fact that the 
operation fails if a copy request ever needs to be split as it traverses the 
stack it has the unfortunate side-effect of preventing copy offload from 
working in pretty much every common deployment configuration out there.

* Current state of the work :-
-----------------------------------------------------------------------

With [3] being hard to handle arbitrary DM/MD stacking without splitting the 
command in two, one for copying IN and one for copying OUT. Which is then 
demonstrated by the [4] why [3] it is not a suitable candidate. Also, with [4] 
there is an unresolved problem with the two-command approach about how to 
handle changes to the DM layout between an IN and OUT operations.

* Why Linux Kernel Storage System needs Copy Offload support now ?
-----------------------------------------------------------------------

With the rise of the SNIA Computational Storage TWG and solutions [2], existing 
SCSI XCopy support in the protocol, recent advancement in the Linux Kernel File 
System for Zoned devices (Zonefs [5]), Peer to Peer DMA support in the Linux 
Kernel mainly for NVMe devices [7] and eventually NVMe Devices and subsystem 
(NVMe PCIe/NVMeOF) will benefit from Copy offload operation.

With this background we have significant number of use-cases which are strong 
candidates waiting for outstanding Linux Kernel Block Layer Copy Offload 
support, so that Linux Kernel Storage subsystem can to address previously 
mentioned problems [1] and allow efficient offloading of the data related 
operations. (Such as move/copy etc.)

For reference following is the list of the use-cases/candidates waiting for 
Copy Offload support :-

1. SCSI-attached storage arrays.
2. Stacking drivers supporting XCopy DM/MD.
3. Computational Storage solutions.
7. File systems :- Local, NFS and Zonefs.
4. Block devices :- Distributed, local, and Zoned devices.
5. Peer to Peer DMA support solutions.
6. Potentially NVMe subsystem both NVMe PCIe and NVMeOF.

* What we will discuss in the proposed session ?
-----------------------------------------------------------------------

I'd like to propose a session to go over this topic to understand :-

1. What are the blockers for Copy Offload implementation ?
2. Discussion about having a file system interface.
3. Discussion about having right system call for user-space.
4. What is the right way to move this work forward ?
5. How can we help to contribute and move this work forward ?

* Required Participants :-
-----------------------------------------------------------------------

I'd like to invite file system, block layer, and device drivers developers to:-

1. Share their opinion on the topic.
2. Share their experience and any other issues with [4].
3. Uncover additional details that are missing from this proposal.

Required attendees :-

Martin K. Petersen
Jens Axboe
Christoph Hellwig
Bart Van Assche
Zach Brown
Roland Dreier
Ric Wheeler
Trond Myklebust
Mike Snitzer
Keith Busch
Sagi Grimberg
Hannes Reinecke
Frederick Knight
Mikulas Patocka
Keith Busch

Regards,
Chaitanya

[1]https://content.riscv.org/wp-content/uploads/2018/12/A-New-Golden-Age-for-Computer-Architecture-History-Challenges-and-Opportunities-David-Patterson-.pdf
[2] https://www.snia.org/computational
https://www.napatech.com/support/resources/solution-descriptions/napatech-smartnic-solution-for-hardware-offload/
      https://www.eideticom.com/products.html
https://www.xilinx.com/applications/data-center/computational-storage.html
[3] git://git.kernel.org/pub/scm/linux/kernel/git/mkp/linux.git xcopy [4] 
https://www.spinics.net/lists/linux-block/msg00599.html
[5] https://lwn.net/Articles/793585/
[6] https://nvmexpress.org/new-nvmetm-specification-defines-zoned-
namespaces-zns-as-go-to-industry-technology/
[7] https://github.com/sbates130272/linux-p2pmem
[8] https://kernel.dk/io_uring.pdf


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