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Message-ID: <20170213000324.GA5379@bbox>
Date: Mon, 13 Feb 2017 09:03:24 +0900
From: Minchan Kim <minchan@...nel.org>
To: Sven Schmidt <4sschmid@...ormatik.uni-hamburg.de>
CC: <ebiggers3@...il.com>, <akpm@...ux-foundation.org>,
<bongkyu.kim@....com>, <rsalvaterra@...il.com>,
<sergey.senozhatsky@...il.com>, <gregkh@...uxfoundation.org>,
<linux-kernel@...r.kernel.org>, <herbert@...dor.apana.org.au>,
<davem@...emloft.net>, <linux-crypto@...r.kernel.org>,
<anton@...msg.org>, <ccross@...roid.com>, <keescook@...omium.org>,
<tony.luck@...el.com>
Subject: Re: [PATCH v7 0/5] Update LZ4 compressor module
Hi Sven,
On Sun, Feb 12, 2017 at 12:16:17PM +0100, Sven Schmidt wrote:
>
>
>
> On 02/10/2017 01:13 AM, Minchan Kim wrote:
> > Hello Sven,
> >
> > On Thu, Feb 09, 2017 at 11:56:17AM +0100, Sven Schmidt wrote:
> >> Hey Minchan,
> >>
> >> On Thu, Feb 09, 2017 at 08:31:21AM +0900, Minchan Kim wrote:
> >>> Hello Sven,
> >>>
> >>> On Sun, Feb 05, 2017 at 08:09:03PM +0100, Sven Schmidt wrote:
> >>>>
> >>>> This patchset is for updating the LZ4 compression module to a version based
> >>>> on LZ4 v1.7.3 allowing to use the fast compression algorithm aka LZ4 fast
> >>>> which provides an "acceleration" parameter as a tradeoff between
> >>>> high compression ratio and high compression speed.
> >>>>
> >>>> We want to use LZ4 fast in order to support compression in lustre
> >>>> and (mostly, based on that) investigate data reduction techniques in behalf of
> >>>> storage systems.
> >>>>
> >>>> Also, it will be useful for other users of LZ4 compression, as with LZ4 fast
> >>>> it is possible to enable applications to use fast and/or high compression
> >>>> depending on the usecase.
> >>>> For instance, ZRAM is offering a LZ4 backend and could benefit from an updated
> >>>> LZ4 in the kernel.
> >>>>
> >>>> LZ4 homepage: http://www.lz4.org/
> >>>> LZ4 source repository: https://github.com/lz4/lz4
> >>>> Source version: 1.7.3
> >>>>
> >>>> Benchmark (taken from [1], Core i5-4300U @1.9GHz):
> >>>> ----------------|--------------|----------------|----------
> >>>> Compressor | Compression | Decompression | Ratio
> >>>> ----------------|--------------|----------------|----------
> >>>> memcpy | 4200 MB/s | 4200 MB/s | 1.000
> >>>> LZ4 fast 50 | 1080 MB/s | 2650 MB/s | 1.375
> >>>> LZ4 fast 17 | 680 MB/s | 2220 MB/s | 1.607
> >>>> LZ4 fast 5 | 475 MB/s | 1920 MB/s | 1.886
> >>>> LZ4 default | 385 MB/s | 1850 MB/s | 2.101
> >>>>
> >>>> [1] http://fastcompression.blogspot.de/2015/04/sampling-or-faster-lz4.html
> >>>>
> >>>> [PATCH 1/5] lib: Update LZ4 compressor module
> >>>> [PATCH 2/5] lib/decompress_unlz4: Change module to work with new LZ4 module version
> >>>> [PATCH 3/5] crypto: Change LZ4 modules to work with new LZ4 module version
> >>>> [PATCH 4/5] fs/pstore: fs/squashfs: Change usage of LZ4 to work with new LZ4 version
> >>>> [PATCH 5/5] lib/lz4: Remove back-compat wrappers
> >>>
> >>> Today, I did zram-lz4 performance test with fio in current mmotm and
> >>> found it makes regression about 20%.
> >>>
> >>> "lz4-update" means current mmots(git://git.cmpxchg.org/linux-mmots.git) so
> >>> applied your 5 patches. (But now sure current mmots has recent uptodate
> >>> patches)
> >>> "revert" means I reverted your 5 patches in current mmots.
> >>>
> >>> revert lz4-update
> >>>
> >>> seq-write 1547 1339 86.55%
> >>> rand-write 22775 19381 85.10%
> >>> seq-read 7035 5589 79.45%
> >>> rand-read 78556 68479 87.17%
> >>> mixed-seq(R) 1305 1066 81.69%
> >>> mixed-seq(W) 1205 984 81.66%
> >>> mixed-rand(R) 17421 14993 86.06%
> >>> mixed-rand(W) 17391 14968 86.07%
> >>
> >> which parts of the output (as well as units) are these values exactly?
> >> I did not work with fio until now, so I think I might ask before misinterpreting my results.
> >
> > It is IOPS.
> >
> >>
> >>> My fio description file
> >>>
> >>> [global]
> >>> bs=4k
> >>> ioengine=sync
> >>> size=100m
> >>> numjobs=1
> >>> group_reporting
> >>> buffer_compress_percentage=30
> >>> scramble_buffers=0
> >>> filename=/dev/zram0
> >>> loops=10
> >>> fsync_on_close=1
> >>>
> >>> [seq-write]
> >>> bs=64k
> >>> rw=write
> >>> stonewall
> >>>
> >>> [rand-write]
> >>> rw=randwrite
> >>> stonewall
> >>>
> >>> [seq-read]
> >>> bs=64k
> >>> rw=read
> >>> stonewall
> >>>
> >>> [rand-read]
> >>> rw=randread
> >>> stonewall
> >>>
> >>> [mixed-seq]
> >>> bs=64k
> >>> rw=rw
> >>> stonewall
> >>>
> >>> [mixed-rand]
> >>> rw=randrw
> >>> stonewall
> >>>
> >>
> >> Great, this makes it easy for me to reproduce your test.
> >
> > If you have trouble to reproduce, feel free to ask me. I'm happy to test it. :)
> >
> > Thanks!
> >
>
> Hi Minchan,
>
> I will send an updated patch as a reply to this E-Mail. Would be really grateful If you'd test it and provide feedback!
> The patch should be applied to the current mmots tree.
>
> In fact, the updated LZ4 _is_ slower than the current one in kernel. But I was not able to reproduce such large regressions
> as you did. I now tried to define FORCE_INLINE as Eric suggested. I also inlined some functions which weren't in upstream LZ4,
> but are defined as macros in the current kernel LZ4. The approach to replace LZ4_ARCH64 with the function call _seemed_ to behave
> worse than the macro, so I withdrew the change.
>
> The main difference is, that I replaced the read32/read16/write... etc. functions using memcpy with the other ones defined
> in upstream LZ4 (which can be switched using a macro).
> The comment of the author stated, that they're as fast as the memcpy variants (or faster), but not as portable
> (which does not matter since we're not dependent for multiple compilers).
>
> In my tests, this version is mostly as fast as the current kernel LZ4.
With a patch you sent, I cannot see enhancement so I wanted to dig in and
found how I was really careless.
I have tested both test with CONFIG_KASAN. OMG. With disabling it, I don't
see any regression any more. So, I'm really really *sorry* about noise and
wasting your time. However, I am curious why KASAN makes such difference.
The reason I tested new updated lz4 is description says lz4 fast and
want to use it in zram. How can I do that? and How faster it is compared
to old?
Thanks for you work!
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