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Message-ID: <20170630022626.GA25190@bbox>
Date: Fri, 30 Jun 2017 11:26:26 +0900
From: Minchan Kim <minchan@...nel.org>
To: "Huang, Ying" <ying.huang@...el.com>
Cc: Andrew Morton <akpm@...ux-foundation.org>, linux-mm@...ck.org,
linux-kernel@...r.kernel.org, Rik van Riel <riel@...hat.com>,
Shaohua Li <shli@...nel.org>, Hugh Dickins <hughd@...gle.com>,
Fengguang Wu <fengguang.wu@...el.com>,
Tim Chen <tim.c.chen@...el.com>,
Dave Hansen <dave.hansen@...el.com>,
Johannes Weiner <hannes@...xchg.org>
Subject: Re: [PATCH -mm -v2 0/6] mm, swap: VMA based swap readahead
Hi Huang,
Ccing Johannes:
I don't read this patch yet but I remember Johannes tried VMA-based
readahead approach long time ago so he might have good comment.
On Fri, Jun 30, 2017 at 09:44:37AM +0800, Huang, Ying wrote:
> The swap readahead is an important mechanism to reduce the swap in
> latency. Although pure sequential memory access pattern isn't very
> popular for anonymous memory, the space locality is still considered
> valid.
>
> In the original swap readahead implementation, the consecutive blocks
> in swap device are readahead based on the global space locality
> estimation. But the consecutive blocks in swap device just reflect
> the order of page reclaiming, don't necessarily reflect the access
> pattern in virtual memory space. And the different tasks in the
> system may have different access patterns, which makes the global
> space locality estimation incorrect.
>
> In this patchset, when page fault occurs, the virtual pages near the
> fault address will be readahead instead of the swap slots near the
> fault swap slot in swap device. This avoid to readahead the unrelated
> swap slots. At the same time, the swap readahead is changed to work
> on per-VMA from globally. So that the different access patterns of
> the different VMAs could be distinguished, and the different readahead
> policy could be applied accordingly. The original core readahead
> detection and scaling algorithm is reused, because it is an effect
> algorithm to detect the space locality.
>
> In addition to the swap readahead changes, some new sysfs interface is
> added to show the efficiency of the readahead algorithm and some other
> swap statistics.
>
> This new implementation will incur more small random read, on SSD, the
> improved correctness of estimation and readahead target should beat
> the potential increased overhead, this is also illustrated in the test
> results below. But on HDD, the overhead may beat the benefit, so the
> original implementation will be used by default.
>
> The test and result is as follow,
>
> Common test condition
> =====================
>
> Test Machine: Xeon E5 v3 (2 sockets, 72 threads, 32G RAM)
> Swap device: NVMe disk
>
> Micro-benchmark with combined access pattern
> ============================================
>
> vm-scalability, sequential swap test case, 4 processes to eat 50G
> virtual memory space, repeat the sequential memory writing until 300
> seconds. The first round writing will trigger swap out, the following
> rounds will trigger sequential swap in and out.
>
> At the same time, run vm-scalability random swap test case in
> background, 8 processes to eat 30G virtual memory space, repeat the
> random memory write until 300 seconds. This will trigger random
> swap-in in the background.
>
> This is a combined workload with sequential and random memory
> accessing at the same time. The result (for sequential workload) is
> as follow,
>
> Base Optimized
> ---- ---------
> throughput 345413 KB/s 414029 KB/s (+19.9%)
> latency.average 97.14 us 61.06 us (-37.1%)
> latency.50th 2 us 1 us
> latency.60th 2 us 1 us
> latency.70th 98 us 2 us
> latency.80th 160 us 2 us
> latency.90th 260 us 217 us
> latency.95th 346 us 369 us
> latency.99th 1.34 ms 1.09 ms
> ra_hit% 52.69% 99.98%
>
> The original swap readahead algorithm is confused by the background
> random access workload, so readahead hit rate is lower. The VMA-base
> readahead algorithm works much better.
>
> Linpack
> =======
>
> The test memory size is bigger than RAM to trigger swapping.
>
> Base Optimized
> ---- ---------
> elapsed_time 393.49 s 329.88 s (-16.2%)
> ra_hit% 86.21% 98.82%
>
> The score of base and optimized kernel hasn't visible changes. But
> the elapsed time reduced and readahead hit rate improved, so the
> optimized kernel runs better for startup and tear down stages. And
> the absolute value of readahead hit rate is high, shows that the space
> locality is still valid in some practical workloads.
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