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DAMOS filters' default reject behavior is not very simple. Actually there
was a mistake[1] during the development. Add a kunit test for validating
the behavior.
Link: https://lkml.kernel.org/r/20250513002715.40126-5-sj@kernel.org
Link: https://lore.kernel.org/20250227002913.19359-1-sj@kernel.org [1]
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Brendan Higgins <brendan.higgins@linux.dev>
Cc: David Gow <davidgow@google.com>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Shuah Khan <shuah@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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Commit c0cb9d91bf297 ("mm/damon/paddr: report filter-passed bytes back for
DAMOS_STAT action") added unused variable in damon_pa_stat(), due to a
copy-and-paste error. Remove it.
Link: https://lkml.kernel.org/r/20250513002715.40126-4-sj@kernel.org
Fixes: c0cb9d91bf29 ("mm/damon/paddr: report filter-passed bytes back for DAMOS_STAT action")
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Brendan Higgins <brendan.higgins@linux.dev>
Cc: David Gow <davidgow@google.com>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Shuah Khan <shuah@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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A comment on damos_sysfs_quota_goal_metric_strs is simply wrong, due to a
copy-and-paste error. Fix it.
Link: https://lkml.kernel.org/r/20250513002715.40126-3-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Brendan Higgins <brendan.higgins@linux.dev>
Cc: David Gow <davidgow@google.com>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Shuah Khan <shuah@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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Patch series "mm/damon: minor fixups and improvements for code, tests, and
documents".
Yet another batch of miscellaneous DAMON changes. Fix and improve minor
problems in code, tests and documents.
This patch (of 6):
For a bug such as double aggregation reset[1], ->nr_accesses and/or
->nr_accesses_bp of damon_region could be corrupted. Such corruption can
make monitoring results pretty inaccurate, so the root causing bug should
be investigated. Meanwhile, the corruption itself can easily be fixed but
silently fixing it will hide the bug.
Fix the corruption as soon as found, but WARN_ONCE() so that we can be
aware of the existence of the bug while keeping the system running in a
more sane way.
Link: https://lkml.kernel.org/r/20250513002715.40126-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250513002715.40126-2-sj@kernel.org
Link: https://lore.kernel.org/20250302214145.356806-1-sj@kernel.org [1]
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Brendan Higgins <brendan.higgins@linux.dev>
Cc: David Gow <davidgow@google.com>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Shuah Khan <shuah@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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It's safer to use kmalloc_array() and size_add() because it can prevent
possible overflow problem.
Link: https://lkml.kernel.org/r/20250421062423.740605-1-suhui@nfschina.com
Signed-off-by: Su Hui <suhui@nfschina.com>
Reviewed-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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DAMON sysfs interface file for DAMOS quota goal's node id argument is not
passed to core layer. Implement the link.
Link: https://lkml.kernel.org/r/20250420194030.75838-4-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Yunjeong Mun <yunjeong.mun@sk.com>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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DAMOS_QUOTA_NODE_MEM_{USED,FREE}_BP DAMOS quota goal metrics require the
node id parameter. However, there is no DAMON user ABI for setting it.
Implement a DAMON sysfs file for that with name 'nid', under the quota
goal directory.
Link: https://lkml.kernel.org/r/20250420194030.75838-3-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Yunjeong Mun <yunjeong.mun@sk.com>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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Patch series "mm/damon: auto-tune DAMOS for NUMA setups including tiered
memory".
Utilizing DAMON for memory tiering usually requires manual tuning and/or
tedious controls. Let it self-tune hotness and coldness thresholds for
promotion and demotion aiming high utilization of high memory tiers, by
introducing new DAMOS quota goal metrics representing the used and the
free memory ratios of specific NUMA nodes. And introduce a sample DAMON
module that demonstrates how the new feature can be used for memory
tiering use cases.
Backgrounds
===========
A type of tiered memory system exposes the memory tiers as NUMA nodes. A
straightforward pages placement strategy for such systems is placing
access-hot and cold pages on upper and lower tiers, reespectively,
pursuing higher utilization of upper tiers. Since access temperature can
be dynamic, periodically finding and migrating hot pages and cold pages to
proper tiers (promoting and demoting) is also required. Linux kernel
provides several features for such dynamic and transparent pages
placement.
Page Faults and LRU
-------------------
One widely known way is using NUMA balancing in tiering mode (a.k.a
NUMAB-2) and reclaim-based demotion features. In the setup, NUMAB-2 finds
hot pages using access check-purpose page faults (a.k.a prot_none) and
promote those inside each process' context, until there is no more pages
to promote, or the upper tier is filled up and memory pressure happens.
In the latter case, LRU-based reclaim logic wakes up as a response to the
memory pressure and demotes cold pages to lower tiers in asynchronous
(kswapd) and/or synchronous ways (direct reclaim).
DAMON
-----
Yet another available solution is using DAMOS with migrate_hot and
migrate_cold DAMOS actions for promotions and demotions, respectively. To
make it optimum, users need to specify aggressiveness and access
temperature thresholds for promotions and demotions in a good balance that
results in high utilization of upper tiers. The number of parameters is
not small, and optimum parameter values depend on characteristics of the
underlying hardware and the workload. As a result, it often requires
manual, time consuming and repetitive tuning of the DAMOS schemes for
given workloads and systems combinations.
Self-tuned DAMON-based Memory Tiering
=====================================
To solve such manual tuning problems, DAMOS provides aim-oriented
feedback-driven quotas self-tuning. Using the feature, we design a
self-tuned DAMON-based memory tiering for general multi-tier memory
systems.
For each memory tier node, if it has a lower tier, run a DAMOS scheme that
demotes cold pages of the node, auto-tuning the aggressiveness aiming an
amount of free space of the node. The free space is for keeping the
headroom that avoids significant memory pressure during upper tier memory
usage spike, and promoting hot pages from the lower tier.
For each memory tier node, if it has an upper tier, run a DAMOS scheme
that promotes hot pages of the current node to the upper tier, auto-tuning
the aggressiveness aiming a high utilization ratio of the upper tier. The
target ratio is to ensure higher tiers are utilized as much as possible.
It should match with the headroom for demotion scheme, but have slight
overlap, to ensure promotion and demotion are not entirely stopped.
The aim-oriented aggressiveness auto-tuning of DAMOS is already available.
Hence, to make such tiering solution implementation, only new quota goal
metrics for utilization and free space ratio of specific NUMA node need to
be developed.
Discussions
===========
The design imposes below discussion points.
Expected Behaviors
------------------
The system will let upper tier memory node accommodates as many hot data
as possible. If total amount of the data is less than the top tier
memory's promotion/demotion target utilization, entire data will be just
placed on the top tier. Promotion scheme will do nothing since there is
no data to promote. Demotion scheme will also do nothing since the free
space ratio of the top tier is higher than the goal.
Only if the amount of data is larger than the top tier's utilization
ratio, demotion scheme will demote cold pages and ensure the headroom free
space. Since the promotion and demotion schemes for a single node has
small overlap at their target utilization and free space goals, promotions
and demotions will continue working with a moderate aggressiveness level.
It will keep all data is placed on access hotness under dynamic access
pattern, while minimizing the migration overhead.
In any case, each node will keep headroom free space and as many upper
tiers are utilized as possible.
Ease of Use
-----------
Users still need to set the target utilization and free space ratio, but
it will be easier to set. We argue 99.7 % utilization and 0.5 % free
space ratios can be good default values. It can be easily adjusted based
on desired headroom size of given use case. Users are also still required
to answer the minimum coldness and hotness thresholds. Together with
monitoring intervals auto-tuning[2], DAMON will always show meaningful
amount of hot and cold memory. And DAMOS quota's prioritization mechanism
will make good decision as long as the source information is that
colorful. Hence, users can very naively set the minimum criterias. We
believe any access observation and no access observation within last one
aggregation interval is enough for minimum hot and cold regions criterias.
General Tiered Memory Setup Applicability
-----------------------------------------
The design can be applied to any number of tiers having any performance
characteristics, as long as they can be hierarchical. Hence, applying the
system to different tiered memory system will be straightforward. Note
that this assumes only single CPU NUMA node case. Because today's DAMON
is not aware of which CPU made each access, applying this on systems
having multiple CPU NUMA nodes can be complicated. We are planning to
extend DAMON for the use case, but that's out of the scope of this patch
series.
How To Use
----------
Users can implement the auto-tuned DAMON-based memory tiering using DAMON
sysfs interface. It can be easily done using DAMON user-space tool like
user-space tool. Below evaluation results section shows an example DAMON
user-space tool command for that.
For wider and simpler deployment, having a kernel module that sets up and
run the DAMOS schemes via DAMON kernel API can be useful. The module can
enable the memory tiering at boot time via kernel command line parameter
or at run time with single command. This patch series implements a sample
DAMON kernel module that shows how such module can be implemented.
Comparison To Page Faults and LRU-based Approaches
--------------------------------------------------
The existing page faults based promotion (NUMAB-2) does hot pages
detection and migration in the process context. When there are many pages
to promote, it can block the progress of the application's real works.
DAMOS works in asynchronous worker thread, so it doesn't block the real
works.
NUMAB-2 doesn't provide a way to control aggressiveness of promotion other
than the maximum amount of pages to promote per given time widnow. If hot
pages are found, promotions can happen in the upper-bound speed,
regardless of upper tier's memory pressure. If the maximum speed is not
well set for the given workload, it can result in slow promotion or
unnecessary memory pressure. Self-tuned DAMON-based memory tiering
alleviates the problem by adjusting the speed based on current utilization
of the upper tier.
LRU-based demotion can be triggered in both asynchronous (kswapd) and
synchronous (direct reclaim) ways. Other than the way of finding cold
pages, asynchronous LRU-based demotion and DAMON-based demotion has no big
difference. DAMON-based demotion can make a better balancing with
DAMON-based promotion, though. The LRU-based demotion can do better than
DAMON-based demotion when the tier is having significant memory pressure.
It would be wise to use DAMON-based demotion as a proactive and primary
one, but utilizing LRU-based demotions together as a fast backup solution.
Evaluation
==========
In short, under a setup that requires fast and frequent promotions,
self-tuned DAMON-based memory tiering's hot pages promotion improves
performance about 4.42 %. We believe this shows self-tuned DAMON-based
promotion's effectiveness. Meanwhile, NUMAB-2's hot pages promotion
degrades the performance about 7.34 %. We suspect the degradation is
mostly due to NUMAB-2's synchronous nature that can block the
application's progress, which highlights the advantage of DAMON-based
solution's asynchronous nature.
Note that the test was done with the RFC version of this patch series. We
don't run it again since this patch series got no meaningful change after
the RFC, while the test takes pretty long time.
Setup
-----
Hardware. Use a machine that equips 250 GiB DRAM memory tier and 50 GiB
CXL memory tier. The tiers are exposed as NUMA nodes 0 and 1,
respectively.
Kernel. Use Linux kernel v6.13 that modified as following. Add all DAMON
patches that available on mm tree of 2025-03-15, and this patch series.
Also modify it to ignore mempolicy() system calls, to avoid bad effects
from application's traditional NUMA systems assumed optimizations.
Workload. Use a modified version of Taobench benchmark[3] that available
on DCPerf benchmark suite. It represents an in-memory caching workload.
We set its 'memsize', 'warmup_time', and 'test_time' parameter as 340 GiB,
2,500 seconds and 1,440 seconds. The parameters are chosen to ensure the
workload uses more than DRAM memory tier. Its RSS under the parameter
grows to 270 GiB within the warmup time.
It turned out the workload has a very static access pattrn. Only about 13
% of the RSS is frequently accessed from the beginning to end. Hence
promotion shows no meaningful performance difference regardless of
different design and implementations. We therefore modify the kernel to
periodically demote up to 10 GiB hot pages and promote up to 10 GiB cold
pages once per minute. The intention is to simulate periodic access
pattern changes. The hotness and coldness threshold is very naively set
so that it is more like random access pattern change rather than strict
hot/cold pages exchange. This is why we call the workload as "modified".
It is implemented as two DAMOS schemes each running on an asynchronous
thread. It can be reproduced with DAMON user-space tool like below.
# ./damo start \
--ops paddr --numa_node 0 --monitoring_intervals 10s 200s 200s \
--damos_action migrate_hot 1 \
--damos_quota_interval 60s --damos_quota_space 10G \
--ops paddr --numa_node 1 --monitoring_intervals 10s 200s 200s \
--damos_action migrate_cold 0 \
--damos_quota_interval 60s --damos_quota_space 10G \
--nr_schemes 1 1 --nr_targets 1 1 --nr_ctxs 1 1
System configurations. Use below variant system configurations.
- Baseline. No memory tiering features are turned on.
- Numab_tiering. On the baseline, enable NUMAB-2 and relcaim-based
demotion. In detail, following command is executed:
echo 2 > /proc/sys/kernel/numa_balancing;
echo 1 > /sys/kernel/mm/numa/demotion_enabled;
echo 7 > /proc/sys/vm/zone_reclaim_mode
- DAMON_tiering. On the baseline, utilize self-tuned DAMON-based memory
tiering implementation via DAMON user-space tool. It utilizes two
kernel threads, namely promotion thread and demotion thread. Demotion
thread monitors access pattern of DRAM node using DAMON with
auto-tuned monitoring intervals aiming 4% DAMON-observed access ratio,
and demote coldest pages up to 200 MiB per second aiming 0.5% free
space of DRAM node. Promotion thread monitors CXL node using same
intervals auto-tuning, and promote hot pages in same way but aiming
for 99.7% utilization of DRAM node. Because DAMON provides only
best-effort accuracy, add young page DAMOS filters to allow only and
reject all young pages at promoting and demoting, respectively. It
can be reproduced with DAMON user-space tool like below.
# ./damo start \
--numa_node 0 --monitoring_intervals_goal 4% 3 5ms 10s \
--damos_action migrate_cold 1 --damos_access_rate 0% 0% \
--damos_apply_interval 1s \
--damos_quota_interval 1s --damos_quota_space 200MB \
--damos_quota_goal node_mem_free_bp 0.5% 0 \
--damos_filter reject young \
--numa_node 1 --monitoring_intervals_goal 4% 3 5ms 10s \
--damos_action migrate_hot 0 --damos_access_rate 5% max \
--damos_apply_interval 1s \
--damos_quota_interval 1s --damos_quota_space 200MB \
--damos_quota_goal node_mem_used_bp 99.7% 0 \
--damos_filter allow young \
--damos_nr_quota_goals 1 1 --damos_nr_filters 1 1 \
--nr_targets 1 1 --nr_schemes 1 1 --nr_ctxs 1 1
Measurment Results
------------------
On each system configuration, run the modified version of Taobench and
collect 'score'. 'score' is a metric that calculated and provided by
Taobench to represents the performance of the run on the system. To
handle the measurement errors, repeat the measurement five times. The
results are as below.
Config Score Stdev (%) Normalized
Baseline 1.6165 0.0319 1.9764 1.0000
Numab_tiering 1.4976 0.0452 3.0209 0.9264
DAMON_tiering 1.6881 0.0249 1.4767 1.0443
'Config' column shows the system config of the measurement. 'Score'
column shows the 'score' measurement in average of the five runs on the
system config. 'Stdev' column shows the standsard deviation of the five
measurements of the scores. '(%)' column shows the 'Stdev' to 'Score'
ratio in percentage. Finally, 'Normalized' column shows the averaged
score values of the configs that normalized to that of 'Baseline'.
The periodic hot pages demotion and cold pages promotion that was
conducted to simulate dynamic access pattern was started from the
beginning of the workload. It resulted in the DRAM tier utilization
always under the watermark, and hence no real demotion was happened for
all test runs. This means the above results show no difference between
LRU-based and DAMON-based demotions. Only difference between NUMAB-2 and
DAMON-based promotions are represented on the results.
Numab_tiering config degraded the performance about 7.36 %. We suspect
this happened because NUMAB-2's synchronous promotion was blocking the
Taobench's real work progress.
DAMON_tiering config improved the performance about 4.43 %. We believe
this shows effectiveness of DAMON-based promotion that didn't block
Taobench's real work progress due to its asynchronous nature. Also this
means DAMON's monitoring results are accurate enough to provide visible
amount of improvement.
Evaluation Limitations
----------------------
As mentioned above, this evaluation shows only comparison of promotion
mechanisms. DAMON-based tiering is recommended to be used together with
reclaim-based demotion as a faster backup under significant memory
pressure, though.
From some perspective, the modified version of Taobench may seems making
the picture distorted too much. It would be better to evaluate with more
realistic workload, or more finely tuned micro benchmarks.
Patch Sequence
==============
The first patch (patch 1) implements two new quota goal metrics on core
layer and expose it to DAMON core kernel API. The second and third ones
(patches 2 and 3) further link it to DAMON sysfs interface. Three
following patches (patches 4-6) document the new feature and sysfs file on
design, usage, and ABI documents. The final one (patch 7) implements a
working version of a self-tuned DAMON-based memory tiering solution in an
incomplete but easy to understand form as a kernel module under
samples/damon/ directory.
References
==========
[1] https://lore.kernel.org/20231112195602.61525-1-sj@kernel.org/
[2] https://lore.kernel.org/20250303221726.484227-1-sj@kernel.org
[3] https://github.com/facebookresearch/DCPerf/blob/main/packages/tao_bench/README.md
This patch (of 7):
Used and free space ratios for specific NUMA nodes can be useful inputs
for NUMA-specific DAMOS schemes' aggressiveness self-tuning feedback loop.
Implement DAMOS quota goal metrics for such self-tuned schemes.
Link: https://lkml.kernel.org/r/20250420194030.75838-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250420194030.75838-2-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Yunjeong Mun <yunjeong.mun@sk.com>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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The function logic is not complex, so using goto is unnecessary. Replace
it with a straightforward if-else to simplify control flow and improve
readability.
Link: https://lkml.kernel.org/r/Z9vxcPCw8tDsjKw1@OneApple
Signed-off-by: Taotao Chen <chentaotao@didiglobal.com>
Reviewed-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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Patch series "mm/damon: introduce DAMOS filter type for active pages".
The memory reclaim algorithm categorizes pages into active and inactive
lists, separately for file and anon pages. The system's performance
relies heavily on the (relative and absolute) accuracy of this
categorization.
This patch series add a new DAMOS filter for pages' activeness, giving us
visibility into the access frequency of the pages on each list. This
insight can help us diagnose issues with the active-inactive balancing
dynamics, and make decisions to optimize reclaim efficiency and memory
utilization.
For instance, we might decide to enable DAMON_LRU_SORT, if we find that
there are pages on the active list that are infrequently accessed, or less
frequently accessed than pages on the inactive list.
This patch (of 2):
Implement a DAMOS filter type for active pages on DAMON kernel API, and
add support of it from the physical address space DAMON operations set
(paddr).
Link: https://lkml.kernel.org/r/20250318183029.2062917-1-nphamcs@gmail.com
Link: https://lkml.kernel.org/r/20250318183029.2062917-2-nphamcs@gmail.com
Signed-off-by: Nhat Pham <nphamcs@gmail.com>
Suggested-by: SeongJae Park <sj@kernel.org>
Reviewed-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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damon_sysfs_access_pattern_add_range_dir()
When -Wformat-security is given, compiler warns as a potential security
issue on damon_sysfs_access_pattern_add_range_dir() as below:
mm/damon/sysfs-schemes.c: In function `damon_sysfs_access_pattern_add_range_dir':
mm/damon/sysfs-schemes.c:1503:25: warning: format not a string literal and no format arguments [-Wformat-security]
1503 | &access_pattern->kobj, name);
| ^
Fix it by using "%s" as the format and the name as the argument.
Link: https://lkml.kernel.org/r/20250310165009.652491-1-sj@kernel.org
Fixes: 7e84b1f8212a ("mm/damon/sysfs: support DAMON-based Operation Schemes")
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Arnd Bergmann <arnd@arndb.de>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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The operations layer hook was introduced to let operations set do any
aggregation data reset if needed. But it is not really be used now.
Remove it.
Link: https://lkml.kernel.org/r/20250306175908.66300-14-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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The hook was introduced to let DAMON kernel API users access DAMOS
schemes-eligible regions in a safe way. Now it is no more used by anyone,
and the functionality is provided in a better way by damos_walk(). Remove
it.
Link: https://lkml.kernel.org/r/20250306175908.66300-13-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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The callback was used by DAMON sysfs interface for reading DAMON internal
data. But it is no more being used, and damon_call() can do similar works
in a better way. Remove it.
Link: https://lkml.kernel.org/r/20250306175908.66300-12-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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The function pointer field was added to be used as a place to do some
initialization works just before DAMON starts working. However, nobody is
using it now. Remove it.
Link: https://lkml.kernel.org/r/20250306175908.66300-11-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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damon_sysfs_schemes_clear_regions()
The comment on damon_sysfs_schemes_clear_regions() function is obsolete,
since it has updated to directly called from DAMON sysfs interface code.
Remove the outdated comment.
Link: https://lkml.kernel.org/r/20250306175908.66300-9-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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damon_sysfs_cmd_request is DAMON sysfs interface's own synchronization
mechanism for accessing DAMON internal data via damon_callback hooks. All
the users are now migrated to damon_call() and damos_walk(), so nobody
really uses it. No one writes to the data structure but reading code is
still remained. Remove the reading code and the entire data structure.
Link: https://lkml.kernel.org/r/20250306175908.66300-8-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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damon_sysfs_cmd_request_callback() is the damon_callback hook functions
that were used to handle user requests that need to read and/or write
DAMON internal data. All the usages are now updated to use damon_call()
or damos_walk(), though. Remove it and its callers.
Link: https://lkml.kernel.org/r/20250306175908.66300-7-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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damon_sysfs_handle_cmd()
damon_sysfs_handle_cmd() handles user requests that it can directly handle
on its own. For requests that need to be handled from damon_callback
hooks, it uses DAMON sysfs interface's own synchronous damon_callback
hooks management mechanism, namely damon_sysfs_cmd_request. Now all user
requests are handled without damon_callback hooks, so
damon_sysfs_cmd_request client code in damon_sysfs_andle_cmd() does
nothing in real. Remove the unnecessary code.
Link: https://lkml.kernel.org/r/20250306175908.66300-6-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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DAMON sysfs interface is using damon_callback->after_aggregation hook with
its self-implemented synchronization mechanism for the hook. It is
inefficient, complicated, and take up to one aggregation interval to
complete, which can be long on some configs.
Use damon_call() instead. It provides a synchronization mechanism that
built inside DAMON's core layer, so more efficient than DAMON sysfs
interface's own one. Also it isolates the implementation inside the core
layer, and hence it makes the code easier to maintain. Finally, it takes
up to one sampling interval, which is much shorter than the aggregation
interval in common setups.
Link: https://lkml.kernel.org/r/20250306175908.66300-5-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Currently all DAMON kernel API callers do online DAMON parameters commit
from damon_callback->after_aggregation because only those are safe place
to call the DAMON monitoring attributes update function, namely
damon_set_attrs().
Because damon_callback hooks provide no synchronization, the callers work
in asynchronous ways or implement their own inefficient and complicated
synchronization mechanisms. It also means online DAMON parameters commit
can take up to one aggregation interval. On large systems having long
aggregation intervals, that can be too slow. The synchronization can be
done in more efficient and simple way while removing the latency
constraint if it can be done using damon_call().
The fact that damon_call() can be executed in the middle of the
aggregation makes damon_set_attrs() unsafe to be called from it, though.
Two real problems can occur in the case. First, converting the not yet
completely aggregated nr_accesses for new user-set intervals can arguably
degrade the accuracy or at least make the logic complicated. Second,
kdamond_reset_aggregated() will not be called after the monitoring results
update, so next aggregation starts from unclean state. This can result in
inconsistent and unexpected nr_accesses_bp.
Make it safe as follows. Catch the middle-of-the-aggregation case from
damon_set_attrs() by checking the passed_sample_intervals and
next_aggregationsis of the context. And pass the information to
nr_accesses conversion logic. The logic works as before if it is not the
case (called after the current aggregation is completed). If it is the
case (committing parameters in the middle of the aggregation), it drops
the nr_accesses information that so far aggregated, and make the status
same to the beginning of this aggregation, but as if the last aggregation
was started with the updated sampling/aggregation intervals.
The middle-of-aggregastion check introduce yet another edge case, though.
This happens because kdamond_tune_intervals() can also call
damon_set_attrs() with the middle-of-aggregation check. Consider
damon_call() for parameters commit and kdamond_tune_intervals() are called
in same iteration of kdamond main loop. Because kdamond_tune_interval()
is called for aggregation intervals, it should be the end of the
aggregation. The first damon_set_attrs() call from kdamond_call()
understands it is the end of the aggregation and correctly handle it.
But, because the damon_set_attrs() updated next_aggregation_sis of the
context. Hence, the second damon_set_attrs() invocation from
kdamond_tune_interval() believes it is called in the middle of the
aggregation. It therefore resets aggregated information so far. After
that, kdamond_reset_interval() is called and double-reset the aggregated
information. Avoid this case, too, by setting the next_aggregation_sis
before kdamond_tune_intervals() is invoked.
Link: https://lkml.kernel.org/r/20250306175908.66300-4-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
kdamond_call() callers may iterate the regions, so better to call it when
the number of regions is as small as possible. It is when
kdamond_merge_regions() is finished. Invoke it on the point.
This change is also aimed to make future changes for carrying online
parameters commit with damon_call() easier. The commit operation should
be able to make sequence between other aggregation interval based
operations including regioins merging and aggregation reset. Placing
damon_call() invocation after the regions merging makes the sequence
handling simpler.
Link: https://lkml.kernel.org/r/20250306175908.66300-3-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Patch series "mm/damon/sysfs: commit parameters online via damon_call()".
Due to the lack of ways to synchronously access DAMON internal data, DAMON
sysfs interface is using damon_callback hooks with its own synchronization
mechanism. The mechanism is built on top of damon_callback hooks in an
ineifficient and complicated way.
Patch series "mm/damon: replace most damon_callback usages in sysfs with
new core functions", which starts with commit e035320fd38e
("mm/damon/sysfs-schemes: remove unnecessary schemes existence check in
damon_sysfs_schemes_clear_regions()") introduced two new DAMON kernel API
functions that providing the synchronous access, replaced most
damon_callback hooks usage in DAMON sysfs interface, and cleaned up
unnecessary code.
Continue the replacement and cleanup works. Update the last DAMON sysfs'
usage of its own synchronization mechanism, namely online DAMON parameters
commit, to use damon_call() instead of the damon_callback hooks and the
hard-to-maintain core-external synchronization mechanism. Then remove the
no more be used code due to the change, and more unused code that just not
yet cleaned up.
The first four patches (patches 1-4) of this series makes DAMON sysfs
interface's online parameters commit to use damon_call(). Then, following
three patches (patches 5-7) remove the DAMON sysfs interface's own
synchronization mechanism and its usages, which is no more be used by
anyone due to the first four patches. Finally, six patches (8-13) do more
cleanup of outdated comment and unused code.
This patch (of 13):
Online DAMON parameters commit via DAMON sysfs interface can make kdamond
stop. This behavior was made because it can make the implementation
simpler. The implementation tries committing the parameter without
validation. If it finds something wrong in the middle of the parameters
update, it returns error without reverting the partially committed
parameters back. It is safe though, since it immediately breaks kdamond
main loop in the case of the error return.
Users can make the wrong parameters by mistake, though. Stopping kdamond
in the case is not very useful behavior. Also this makes it difficult to
utilize damon_call() instead of damon_callback hook for online parameters
update, since damon_call() cannot immediately break kdamond main loop in
the middle.
Validate the input parameters and return error when it fails before
starting parameters updates. In case of mistakenly wrong parameters,
kdamond can continue running with the old and valid parameters.
Link: https://lkml.kernel.org/r/20250306175908.66300-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250306175908.66300-2-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
wrong sysfs directory
Return error if the user tries to install a DAMOS filter on DAMOS filters
sysfs directory that assumed to be used for filters that handled by a
DAMON layer that not same to that for the installing filter.
Link: https://lkml.kernel.org/r/20250305222733.59089-7-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
given filters directory
Unlike their name and assumed purposes, {core,ops}_filters DAMOS sysfs
directories are allowing installing any type of filters. As a first step
for preventing such wrong installments, add information about filters that
handled by what layer should the installed to the given filters directory
in the DAMOS sysfs internal data structures.
Link: https://lkml.kernel.org/r/20250305222733.59089-6-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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damos_filter_for_ops() can be useful to avoid putting wrong type of
filters in wrong place. Make it be exposed to DAMON kernel API callers.
Link: https://lkml.kernel.org/r/20250305222733.59089-5-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Connect user inputs for files under core_filters and ops_filters with
DAMON, so that the files can really function. Becasuse {core,ops}_filters
are easier to be managed in terms of expecting filters evaluation order,
add filters in {core,ops}_filters before 'filters' directory.
Link: https://lkml.kernel.org/r/20250305222733.59089-4-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Implement two DAMOS sysfs directories for managing core and operations
layer handled filters separately. Those are named as 'core_filters' and
'ops_filters', and have files hierarchy same to 'filters'. This commit is
only populating and cleaning up the directories, not really connecting the
files with DAMON. Following changes will make the connections.
Link: https://lkml.kernel.org/r/20250305222733.59089-3-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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different named directories
Patch series "mm/damon: add sysfs dirs for managing DAMOS filters based on
handling layers".
DAMOS filters are categorized into two groups based on their handling
layers, namely core and operations layers. The categorization affects
when each filter is evaluated. Core layer handled filters are evaluated
first. The order meant nothing before, but introduction of allow filters
changed that.
DAMOS sysfs interface provides single directory for filters, namely
'filters'. Users can install any filters in any order there. DAMON will
internally categorize those into core and operations layer handled ones,
and apply the evaluation order rule. The ordering rule is clearly
documented. But the interface could still confuse users since it is
allowed to install filters on the directory in mixed ways.
Add two sysfs directories for managing filters by handling layers, namely
'core_filters' and 'ops_filters' for filters that handled by core and
operations layer, respectively. Those are avoided to be used for
installing filters that not handled by the assumed layers.
For backward compatibility, keep 'filters' directory with its curernt
behavior. Filters installed in the directory will be added to DAMON after
those of 'core_filters' and 'ops_filters' directories, with the automatic
categorizations. Also recommend users to use the new directories while
noticing 'filters' directory could be deprecated in future on the usage
documents.
Note that new directories provide all features that were provided with
'filters', but just in a more clear way. Deprecating 'filters' in future
will hence not make an irreversal feature loss.
This patch (of 8):
damon_sysfs_scheme_set_filters() is using a hard-coded directory name,
"filters". Refactor for general named directories of same files
hierarchy, to use from upcoming changes for adding sibling directories
having files same to those of "filters", and named as "core_filters" and
"ops_filters".
[arnd@arndb.deL avoid Wformat-security warning]
Link: https://lkml.kernel.org/r/20250310135142.4176976-1-arnd@kernel.org
Link: https://lkml.kernel.org/r/20250305222733.59089-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250305222733.59089-2-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Arnd Bergmann <arnd@arndb.de>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Use damos->ops_filters_default_reject, which is set based on the installed
filters' behaviors, from physical address space DAMON operations set.
Link: https://lkml.kernel.org/r/20250304211913.53574-9-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
installed filters
Decide whether to allow or reject by default on core and opertions layer
handled filters evaluation stages. It is decided as the opposite of the
last installed filter's behavior. If there is no filter at all, allow by
default. If there is any operations layer handled filters, core layer's
filtering stage sets allowing as the default behavior regardless of the
last filter of core layer-handling ones, since the last filter of core
layer handled filters in the case is not really the last filter of the
entire filtering stage.
Also, make the core layer's DAMOS filters handling stage uses the newly
set behavior field.
[sj@kernel.org: setup damos->{core,ops}_filters_default_reject for initial start]
Link: https://lkml.kernel.org/r/20250315222610.35245-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250304211913.53574-8-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
DAMON physical address space operation set implementation (paddr) started
handling both damos->filters and damos->ops_filters to avoid breakage
during the change for the ->ops_filters setup. Now the change is done, so
paddr's support of ->filters is only a waste that can safely be dropped.
Remove it.
Link: https://lkml.kernel.org/r/20250304211913.53574-6-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
damos->ops_filters has introduced to be used for all operations layer
handled filters. But DAMON kernel API callers can put any type of DAMOS
filters to any of damos->filters and damos->ops_filters. DAMON user-space
ABI users have no way to use ->ops_filters at all. Update
damos_add_filter(), which should be used by API callers to install DAMOS
filters, to add filters to ->filters and ->ops_filters depending on their
handling layer. The change forces both API callers and ABI users to use
proper lists since ABI users use the API internally.
Link: https://lkml.kernel.org/r/20250304211913.53574-5-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
DAMON kernel API callers should use damon_commit_ctx() to install DAMON
parameters including DAMOS filters. But damos_commit_ops_filters(), which
is called by damon_commit_ctx() for filters installing, is not handling
damos->ops_filters. Hence, no DAMON kernel API caller can use
damos->ops_filters. Do the committing of the ops_filters to make it
usable.
Link: https://lkml.kernel.org/r/20250304211913.53574-4-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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DAMON keeps all DAMOS filters in damos->filters. Upcoming changes will
make it to use damos->ops_filters for all operations layer handled DAMOS
filters, though. DAMON physical address space operations set
implementation (paddr) is not ready for the changes, since it handles only
damos->filters. To avoid any breakage during the upcoming changes, make
paddr to handle both lists. After the change is made, ->filters support
on paddr can be safely removed.
Link: https://lkml.kernel.org/r/20250304211913.53574-3-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Patch series "mm/damon: make allow filters after reject filters useful and
intuitive".
DAMOS filters do allow or reject elements of memory for given DAMOS scheme
only if those match the filter criterias. For elements that don't match
any DAMOS filter, 'allowing' is the default behavior. This makes
allow-filters that don't have any reject-filter after them meaningless
sources of overhead. The decision was made to keep the behavior
consistent with that before the introduction of allow-filters. This,
however, makes usage of DAMOS filters confusing and inefficient. It is
more intuitive and still consistent behavior to reject by default unless
there is no filter at all or the last filter is a reject filter. Update
the filtering logic in the way and update documents to clarify the
behavior.
Note that this is changing the old behavior. But the old behavior for the
problematic filter combination was definitely confusing, inefficient and
anyway useless. Also, the behavior has relatively recently introduced.
It is difficult to anticipate any user that depends on the behavior.
Hence this is not a user-breaking behavior change but an obvious
improvement.
This patch (of 9):
DAMOS filters can be categorized into two groups depending on which layer
they are handled, namely core layer and ops layer. The groups are
important because the filtering behavior depends on evaluation sequence of
filters, and core layer-handled filters are evaluated before operations
layer-handled ones.
The behavior is clearly documented, but the implementation is bit
inefficient and complicated. All filters are maintained in a single list
(damos->filters) in mix. Filters evaluation logics in core layer and
operations layer iterates all the filters on the list, while skipping
filters that should be not handled by the layer of the logic. It is
inefficient. Making future extensions having differentiations for filters
of different handling layers will also be complicated.
Add a new list that will be used for having all operations layer-handled
DAMOS filters to DAMOS scheme data structure. Also add the support of its
initialization and basic traversal functions.
Link: https://lkml.kernel.org/r/20250304211913.53574-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250304211913.53574-2-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
DAMON kernel API callers can show auto-tuned sampling and aggregation
intervals from the monmitoring attributes data structure. That can be
useful for debugging or tuning of the feature. DAMON user-space ABI users
has no way to see that, though. Implement a new DAMON sysfs interface
command, namely 'update_tuned_intervals', for the purpose. If the command
is written to the kdamond state file, the tuned sampling and aggregation
intervals will be updated to the corresponding sysfs interface files.
Link: https://lkml.kernel.org/r/20250303221726.484227-6-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Connect DAMON sysfs interface for sampling and aggregation intervals
auto-tuning with DAMON core API, so that users can really use the feature
using the sysfs files.
Link: https://lkml.kernel.org/r/20250303221726.484227-5-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Implement DAMON sysfs interface directory and its files for setting DAMON
sampling and aggregation intervals auto-tuning goal.
Link: https://lkml.kernel.org/r/20250303221726.484227-4-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Implement the DAMON sampling and aggregation intervals auto-tuning
mechanism as briefly described on 'struct damon_intervals_goal'. The core
part for deciding the direction and amount of the changes is implemented
reusing the feedback loop function which is being used for DAMOS quotas
auto-tuning. Unlike the DAMOS quotas auto-tuning use case, limit the
maximum decreasing amount after the adjustment to 50% of the current
value, though. This is because the intervals have no good merits at rapid
reductions since it could unnecessarily increase the monitoring overhead.
Link: https://lkml.kernel.org/r/20250303221726.484227-3-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Patch series "mm/damon: auto-tune aggregation interval".
DAMON requires time-consuming and repetitive aggregation interval tuning.
Introduce a feature for automating it using a feedback loop that aims an
amount of observed access events, like auto-exposing cameras.
Background: Access Frequency Monitoring and Aggregation Interval
================================================================
DAMON checks if each memory element (damon_region) is accessed or not for
every user-specified time interval called 'sampling interval'. It
aggregates the check intervals on per-element counter called
'nr_accesses'. DAMON users can read the counters to get the access
temperature of a given element. The counters are reset for every another
user-specified time interval called 'aggregation interval'.
This can be illustrated as DAMON continuously capturing a snapshot of
access events that happen and captured within the last aggregation
interval. This implies the aggregation interval plays a key role for the
quality of the snapshots, like the camera exposure time. If it is too
short, the amount of access events that happened and captured for each
snapshot is small, so each snapshot will show no many interesting things
but just a cold and dark world with hopefuly one pale blue dot or two. If
it is too long, too many events are aggregated in a single shot, so each
snapshot will look like world of flames, or Muspellheim. It will be
difficult to find practical insights in both cases.
Problem: Time Consuming and Repetitive Tuning
=============================================
The appropriate length of the aggregation interval depends on how
frequently the system and workloads are making access events that DAMON
can observe. Hence, users have to tune the interval with excessive amount
of tests with the target system and workloads. If the system and
workloads are changed, the tuning should be done again. If the
characteristic of the workloads is dynamic, it becomes more challenging.
It is therefore time-consuming and repetitive.
The tuning challenge mainly stems from the wrong question. It is not
asking users what quality of monitoring results they want, but how DAMON
should operate for their hidden goal. To make the right answer, users
need to fully understand DAMON's mechanisms and the characteristics of
their workloads. Users shouldn't be asked to understand the underlying
mechanism. Understanding the characteristics of the workloads shouldn't
be the role of users but DAMON.
Aim-oriented Feedback-driven Auto-Tuning
=========================================
Fortunately, the appropriate length of the aggregation interval can be
inferred using a feedback loop. If the current snapshots are showing no
much intresting information, in other words, if it shows only rare access
events, increasing the aggregation interval helps, and vice versa. We
tested this theory on a few real-world workloads, and documented one of
the experience with an official DAMON monitoring intervals tuning
guideline. Since it is a simple theory that requires repeatable tries, it
can be a good job for machines.
Based on the guideline's theory, we design an automation of aggregation
interval tuning, in a way similar to that of camera auto-exposure feature.
It defines the amount of interesting information as the ratio of
DAMON-observed access events that DAMON actually observed to theoretical
maximum amount of it within each snapshot. Events are accounted in byte
and sampling attempts granularity. For example, let's say there is a
region of 'X' bytes size. DAMON tried access check smapling for the
region 'Y' times in total for a given aggregation. Among the 'Y'
attempts, 'Z' times it shown positive results. Then, the theoritical
maximum number of access events for the region is 'X * Y'. And the number
of access events that DAMON has observed for the region is 'X * Z'. The
abount of the interesting information is '(X * Z / X * Y)'. Note that
each snapshot would have multiple regions.
Users can set an arbitrary value of the ratio as their target. Once the
target is set, the automation periodically measures the current value of
the ratio and increase or decrease the aggregation interval if the ratio
value is lower or higher than the target. The amount of the change is
proportion to the distance between the current adn the target values.
To avoid auto-tuning goes too long way, let users set the minimum and the
maximum aggregation interval times. Changing only aggregation interval
while sampling interval is kept makes the maximum level of access
frequency in each snapshot, or discernment of regions inconsistent. Also,
unnecessarily short sampling interval causes meaningless monitoring
overhed. The automation therefore adjusts the sampling interval together
with aggregation interval, while keeping the ratio between the two
intervals. Users can set the ratio, or the discernment.
Discussion
==========
The modified question (aimed amount of access events, or lights, in each
snapshot) is easy to answer by both the users and the kernel. If users
are interested in finding more cold regions, the value should be lower,
and vice versa. If users have no idea, kernel can suggest a fair default
value based on some theories and experiments. For example, based on the
Pareto principle (80/20 rule), we could expect 20% target ratio will
capture 80% of real access events. Since 80% might be too high, applying
the rule once again, 4% (20% * 20%) may capture about 56% (80% * 80%) of
real access events.
Sampling to aggregation intervals ratio and min/max aggregation intervals
are also arguably easy to answer. What users want is discernment of
regions for efficient system operation, for examples, X amount of colder
regions or Y amount of warmer regions, not exactly how many times each
cache line is accessed in nanoseconds degree. The appropriate min/max
aggregation interval can relatively naively set, and may better to set for
aimed monitoring overhead. Since sampling interval is directly deciding
the overhead, setting it based on the sampling interval can be easy. With
my experiences, I'd argue the intervals ratio 0.05, and 5 milliseconds to
20 seconds sampling interval range (100 milliseconds to 400 seconds
aggregation interval) can be a good default suggestion.
Evaluation
==========
On a machine running a real world server workload, I ran DAMON to monitor
its physical address space for about 23 hours, with this feature turned
on. We set it to tune sampling interval in a range from 5 milliseconds to
10 seconds, aiming 4 % DAMON-observed access ratio per three aggregation
intervals. The exact command I used is as below.
damo start --monitoring_intervals_goal 4% 3 5ms 10s --damos_action stat
During the test run, DAMON continuously updated sampling and aggregation
intervals as designed, within the given range. For all the time, DAMON
was able to find the intervals that meets the target access events ratio
in the given intervals range (sampling interval between 5 milliseconds and
10 seconds).
For most of the time, tuned sampling interval was converged in 300-400
milliseconds. It made only small amount of changes within the range. The
average of the tuned sampling interval during the test was about 380
milliseconds.
The workload periodically gets less load and decreases its CPU usage.
Presumably this also caused it making less memory access events.
Reactively to such event,s DAMON also increased the intervals as expected.
It was still able to find the optimum interval that satisfying the target
access ratio within the given intervals range. Usually it was converged
to about 5 seconds. Once the workload gets normal amount of load again,
DAMON reactively reduced the intervals to the normal range.
I collected and visualized DAMON's monitoring results on the server a few
times. Every time the visualized access pattern looked not biased to only
cold or hot pages but diverse and balanced. Let me show some of the
snapshots that I collected at the nearly end of the test (after about 23
hours have passed since starting DAMON on the server).
The recency histogram looks as below. Please note that this visualization
shows only a very coarse grained information. For more details about the
visualization format, please refer to DAMON user-space tool
documentation[1].
# ./damo report access --style recency-sz-hist --tried_regions_of 0 0 0 --access_rate 0 0
<last accessed time (us)> <total size>
[-19 h 7 m 45.514 s, -17 h 12 m 58.963 s) 6.198 GiB |**** |
[-17 h 12 m 58.963 s, -15 h 18 m 12.412 s) 0 B | |
[-15 h 18 m 12.412 s, -13 h 23 m 25.860 s) 0 B | |
[-13 h 23 m 25.860 s, -11 h 28 m 39.309 s) 0 B | |
[-11 h 28 m 39.309 s, -9 h 33 m 52.757 s) 0 B | |
[-9 h 33 m 52.757 s, -7 h 39 m 6.206 s) 0 B | |
[-7 h 39 m 6.206 s, -5 h 44 m 19.654 s) 0 B | |
[-5 h 44 m 19.654 s, -3 h 49 m 33.103 s) 0 B | |
[-3 h 49 m 33.103 s, -1 h 54 m 46.551 s) 0 B | |
[-1 h 54 m 46.551 s, -0 ns) 16.967 GiB |********* |
[-0 ns, --6886551440000 ns) 38.835 GiB |********************|
memory bw estimate: 9.425 GiB per second
total size: 62.000 GiB
It shows about 38 GiB of memory was accessed at least once within last
aggregation interval (given ~300 milliseconds tuned sampling interval,
this is about six seconds). This is about 61 % of the total memory. In
other words, DAMON found warmest 61 % memory of the system. The number is
particularly interesting given our Pareto principle based theory for the
tuning goal value. We set it as 20 % of 20 % (4 %), thinking it would
capture 80 % of 80 % (64 %) real access events. And it foudn 61 % hot
memory, or working set. Nevertheless, to make the theory clearer, much
more discussion and tests would be needed. At the moment, nonetheless, we
can say making the target value higher helps finding more hot memory
regions.
The histogram also shows an amount of cold memory. About 17 GiB memory of
the system has not accessed at least for last aggregation interval (about
six seconds), and at most for about last two hours. The real longest
unaccessed time of the 17 GiB memory was about 19 minutes, though. This
is a limitation of this visualization format.
It further found very cold 6 GiB memory. It has not accessed at least for
last 17 hours and at most 19 hours.
What about hot memory distribution? To see this, I capture and visualize
the snapshot in access temperature histogram. Again, please refer to the
DAMON user-space tool documentation[1] for the format and what access
temperature mean. Both the visualization and metric shows only very
coarse grained and limited information. The resulting histogram look like
below.
# ./damo report access --style temperature-sz-hist --tried_regions_of 0 0 0
<temperature> <total size>
[-6,840,763,776,000, -5,501,580,939,800) 6.198 GiB |*** |
[-5,501,580,939,800, -4,162,398,103,600) 0 B | |
[-4,162,398,103,600, -2,823,215,267,400) 0 B | |
[-2,823,215,267,400, -1,484,032,431,200) 0 B | |
[-1,484,032,431,200, -144,849,595,000) 0 B | |
[-144,849,595,000, 1,194,333,241,200) 55.802 GiB |********************|
[1,194,333,241,200, 2,533,516,077,400) 4.000 KiB |* |
[2,533,516,077,400, 3,872,698,913,600) 4.000 KiB |* |
[3,872,698,913,600, 5,211,881,749,800) 8.000 KiB |* |
[5,211,881,749,800, 6,551,064,586,000) 12.000 KiB |* |
[6,551,064,586,000, 7,890,247,422,200) 4.000 KiB |* |
memory bw estimate: 5.178 GiB per second
total size: 62.000 GiB
We can see most of the memory is in similar access temperature range, and
definitely some pages are extremely hot.
To see the picture in more detail, let's capture and visualize the
snapshot per DAMON-region, sorted by their access temperature. The total
number of the regions was about 300. Due to the limited space, I'm
showing only a few parts of the output here.
# ./damo report access --style hot --tried_regions_of 0 0 0
heatmap: 00000000888888889999999888888888888888888888888888888888888888888888888888888888
# min/max temperatures: -6,827,258,184,000, 17,589,052,500, column size: 793.600 MiB
|999999999999999999999999999999999999999| 4.000 KiB access 100 % 18 h 9 m 43.918 s
|999999999999999999999999999999999999999| 8.000 KiB access 100 % 17 h 56 m 5.351 s
|999999999999999999999999999999999999999| 4.000 KiB access 100 % 15 h 24 m 19.634 s
|999999999999999999999999999999999999999| 4.000 KiB access 100 % 14 h 10 m 55.606 s
|999999999999999999999999999999999999999| 4.000 KiB access 100 % 11 h 34 m 18.993 s
[...]
|99999999999999999999999999999| 8.000 KiB access 100 % 1 m 27.945 s
|11111111111111111111111111111| 80.000 KiB access 15 % 1 m 21.180 s
|00000000000000000000000000000| 24.000 KiB access 5 % 1 m 21.180 s
|00000000000000000000000000000| 5.919 GiB access 10 % 1 m 14.415 s
|99999999999999999999999999999| 12.000 KiB access 100 % 1 m 7.650 s
[...]
|0| 4.000 KiB access 5 % 0 ns
|0| 12.000 KiB access 5 % 0 ns
|0| 188.000 KiB access 0 % 0 ns
|0| 24.000 KiB access 0 % 0 ns
|0| 48.000 KiB access 0 % 0 ns
[...]
|0000000000000000000000000000000| 8.000 KiB access 0 % 6 m 45.901 s
|00000000000000000000000000000000| 36.000 KiB access 0 % 7 m 26.491 s
|00000000000000000000000000000000| 4.000 KiB access 0 % 12 m 37.682 s
|000000000000000000000000000000000| 8.000 KiB access 0 % 18 m 9.168 s
|000000000000000000000000000000000| 16.000 KiB access 0 % 19 m 3.288 s
|0000000000000000000000000000000000000000| 6.198 GiB access 0 % 18 h 57 m 52.582 s
memory bw estimate: 8.798 GiB per second
total size: 62.000 GiB
We can see DAMON found small and extremely hot regions that accessed for
all access check sampling (once per about 300 milliseconds) for more than
10 hours. The access temperature rapidly decreases. DAMON was also able
to find small and big regions that not accessed for up to about 19
minutes. It even found an outlier cold region of 6 GiB that not accessed
for about 19 hours. It is unclear what the outlier region is, as of this
writing.
For the testing, DAMON was consuming about 0.1% of single CPU time. This
is again expected results, since DAMON was using about 370 milliseconds
sampling interval in most case.
# ps -p $kdamond_pid -o %cpu
%CPU
0.1
I also ran similar tests against kernel build workload and an in-memory
cache workload benchmark[2]. Detialed results including tuned intervals
and captured access pattern were of course different sicne those depend on
the workloads. But the auto-tuning feature was always working as expected
like the above results for the real world workload.
To wrap up, with intervals auto-tuning feature, DAMON was able to capture
access pattern snapshots of a quality on a real world server workload.
The auto-tuning feature was able to adaptively react to the dynamic access
patterns of the workload and reliably provide consistent monitoring
results without manual human interventions. Also, the auto-tuning made
DAMON consumes only necessary amount of resource for the required quality.
References
==========
[1] https://github.com/damonitor/damo/blob/next/USAGE.md#access-report-styles
[2] https://github.com/facebookresearch/DCPerf/blob/main/packages/tao_bench/README.md
This patch (of 8):
Add data structures for DAMON sampling and aggregation intervals automatic
tuning that aims specific amount of DAMON-observed access events per
snapshot. In more detail, define the data structure for the tuning goal,
link it to the monitoring attributes data structure so that DAMON kernel
API callers can make the request, and update parameters setup DAMON
function to respect the new parameter.
Link: https://lkml.kernel.org/r/20250303221726.484227-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250303221726.484227-2-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
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Patch series "mm/damon: introduce DAMOS filter type for unmapped pages".
User decides whether their memory will be mapped or unmapped. It implies
that the two types of memory can have different characteristics and
management requirements. Provide the DAMON-observaibility DAMOS-operation
capability for the different types by introducing a new DAMOS filter type
for unmapped pages.
This patch (of 2):
Implement yet another DAMOS filter type for unmapped pages on DAMON kernel
API, and add support of it from the physical address space DAMON
operations set (paddr). Since it is for only unmapped pages, support from
the virtual address spaces DAMON operations set (vaddr) is not required.
Link: https://lkml.kernel.org/r/20250219220146.133650-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250219220146.133650-2-sj@kernel.org
Signed-off-by: SeongJae Park <sj@kernel.org>
Cc: Jonathan Corbet <corbet@lwn.net>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Add min and max files for damon filters to let the userspace decide the
min/max folio size to operate on. This will be needed to decide what
folio sizes to give pa_stat for.
Link: https://lkml.kernel.org/r/20250211124437.278873-3-usamaarif642@gmail.com
Signed-off-by: Usama Arif <usamaarif642@gmail.com>
Reviewed-by: SeongJae Park <sj@kernel.org>
Cc: David Hildenbrand <david@redhat.com>
Cc: Johannes Weiner <hannes@cmpxchg.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Patch series "mm/damon: add support for hugepage_size DAMOS filter", v5.
hugepage_size DAMOS filter can be used to gather statistics to check if
memory regions of specific access tempratures are backed by hugepages of a
size in a specific range. This filter can help to observe and prove the
effectivenes of different schemes for shrinking/collapsing hugepages.
This patch (of 4):
This is to gather statistics to check if memory regions of specific access
tempratures are backed by pages of a size in a specific range. This
filter can help to observe and prove the effectivenes of different schemes
for shrinking/collapsing hugepages.
[sj@kernel.org: add kernel-doc comment for damos_filter->sz_range]
Link: https://lkml.kernel.org/r/20250218223058.52459-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250211124437.278873-1-usamaarif642@gmail.com
Link: https://lkml.kernel.org/r/20250211124437.278873-2-usamaarif642@gmail.com
Signed-off-by: Usama Arif <usamaarif642@gmail.com>
Reviewed-by: SeongJae Park <sj@kernel.org>
Cc: David Hildenbrand <david@redhat.com>
Cc: Johannes Weiner <hannes@cmpxchg.org>
Cc: Usama Arif <usamaarif642@gmail.com>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
damos_walk_control can be installed while DAMOS is walking the regions.
This means the walk callback function invocations can be started from a
region at the middle of the regions list. This makes it hard to be used
reliably. Particularly, DAMOS tried regions update for collecting
monitoring results gets problematic results. Increase the
walk_control_lock critical section to do walking in entire regions
granularity.
Link: https://lkml.kernel.org/r/20250210182737.134994-4-sj@kernel.org
Fixes: bf0eaba0ff9c ("mm/damon/core: implement damos_walk()")
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
damos_walk() invokes callback functions of schemes until all schemes
finishes at least one round of walks. If there are multiple DAMOS schemes
having different apply_interval, the callback functions for longer apply
interval scheme will be called for more than a round of the walk.
The behavior is different from the document (see damos_walk() kernel-doc
comment), and not useful. Make the behavior be same to the documented
one, by stopping invoking the callback if the walk for the given scheme is
completed.
Link: https://lkml.kernel.org/r/20250210182737.134994-3-sj@kernel.org
Fixes: bf0eaba0ff9c ("mm/damon/core: implement damos_walk()")
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Patch series "mm/damon/core: fix wrong and/or useless damos_walk()
behaviors".
damos_walk() can finish working earlier or later than expected, and start
earlier than practical. First two behaviors are clearly wrong behavior
(doesn't follow the documentation) and all three behaviors are only making
the feature useless. Fix those.
This patch (of 3):
damos->walk_completed is only set, not unset. This can cause next
damos_walk() finish earlier than expected. Unset it after all
walk_completed is confirmed.
Link: https://lkml.kernel.org/r/20250210182737.134994-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250210182737.134994-2-sj@kernel.org
Fixes: bf0eaba0ff9c ("mm/damon/core: implement damos_walk()")
Signed-off-by: SeongJae Park <sj@kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
'paddr' DAMON operations set can apply a DAMOS scheme's action to a large
folio multiple times in single DAMOS-regions-walk if the folio is laid on
multiple DAMON regions. Add a field for DAMOS scheme object that can be
used by the underlying ops to know what was the last entity that the
scheme's action has applied. The core layer unsets the field when each
DAMOS-regions-walk is done for the given scheme. And update 'paddr' ops
to use the infrastructure to avoid the problem.
Link: https://lkml.kernel.org/r/20250207212033.45269-3-sj@kernel.org
Fixes: 57223ac29584 ("mm/damon/paddr: support the pageout scheme")
Signed-off-by: SeongJae Park <sj@kernel.org>
Reported-by: Usama Arif <usamaarif642@gmail.com>
Closes: https://lore.kernel.org/20250203225604.44742-3-usamaarif642@gmail.com
Cc: <stable@vger.kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Patch series "mm/damon/paddr: fix large folios access and schemes handling".
DAMON operations set for physical address space, namely 'paddr', treats
tail pages as unaccessed always. It can also apply DAMOS action to a
large folio multiple times within single DAMOS' regions walking. As a
result, the monitoring output has poor quality and DAMOS works in
unexpected ways when large folios are being used. Fix those.
The patches were parts of Usama's hugepage_size DAMOS filter patch
series[1]. The first fix has collected from there with a slight commit
message change for the subject prefix. The second fix is re-written by SJ
and posted as an RFC before this series. The second one also got a slight
commit message change for the subject prefix.
[1] https://lore.kernel.org/20250203225604.44742-1-usamaarif642@gmail.com
[2] https://lore.kernel.org/20250206231103.38298-1-sj@kernel.org
This patch (of 2):
This effectively adds support for large folios in damon for paddr, as
damon_pa_mkold/young won't get a null folio from this function and won't
ignore it, hence access will be checked and reported. This also means
that larger folios will be considered for different DAMOS actions like
pageout, prioritization and migration. As these DAMOS actions will
consider larger folios, iterate through the region at folio_size and not
PAGE_SIZE intervals. This should not have an affect on vaddr, as
damon_young_pmd_entry considers pmd entries.
Link: https://lkml.kernel.org/r/20250207212033.45269-1-sj@kernel.org
Link: https://lkml.kernel.org/r/20250207212033.45269-2-sj@kernel.org
Fixes: a28397beb55b ("mm/damon: implement primitives for physical address space monitoring")
Signed-off-by: Usama Arif <usamaarif642@gmail.com>
Signed-off-by: SeongJae Park <sj@kernel.org>
Reviewed-by: SeongJae Park <sj@kernel.org>
Cc: <stable@vger.kernel.org>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
|
Ever since commit b756a3b5e7ea ("mm: device exclusive memory access") we
can return with a device-exclusive entry from page_vma_mapped_walk().
damon_folio_mkold_one() is not prepared for that and calls
damon_ptep_mkold() with PFN swap PTEs. Teach damon_ptep_mkold() to deal
with these PFN swap PTEs. Note that device-private entries are so far not
applicable on that path, as damon_get_folio() filters out non-lru folios.
Should we just skip PFN swap PTEs completely? Possible, but it seems
straight forward to just handle it correctly.
Note that we could currently only run into this case with device-exclusive
entries on THPs. We still adjust the mapcount on conversion to
device-exclusive; this makes the rmap walk abort early for small folios,
because we'll always have !folio_mapped() with a single device-exclusive
entry. We'll adjust the mapcount logic once all page_vma_mapped_walk()
users can properly handle device-exclusive entries.
Link: https://lkml.kernel.org/r/20250210193801.781278-16-david@redhat.com
Signed-off-by: David Hildenbrand <david@redhat.com>
Reviewed-by: SeongJae Park <sj@kernel.org>
Tested-by: Alistair Popple <apopple@nvidia.com>
Cc: Alex Shi <alexs@kernel.org>
Cc: Danilo Krummrich <dakr@kernel.org>
Cc: Dave Airlie <airlied@gmail.com>
Cc: Jann Horn <jannh@google.com>
Cc: Jason Gunthorpe <jgg@nvidia.com>
Cc: Jerome Glisse <jglisse@redhat.com>
Cc: John Hubbard <jhubbard@nvidia.com>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Karol Herbst <kherbst@redhat.com>
Cc: Liam Howlett <liam.howlett@oracle.com>
Cc: Lorenzo Stoakes <lorenzo.stoakes@oracle.com>
Cc: Lyude <lyude@redhat.com>
Cc: "Masami Hiramatsu (Google)" <mhiramat@kernel.org>
Cc: Oleg Nesterov <oleg@redhat.com>
Cc: Pasha Tatashin <pasha.tatashin@soleen.com>
Cc: Peter Xu <peterx@redhat.com>
Cc: Peter Zijlstra (Intel) <peterz@infradead.org>
Cc: Simona Vetter <simona.vetter@ffwll.ch>
Cc: Vlastimil Babka <vbabka@suse.cz>
Cc: Yanteng Si <si.yanteng@linux.dev>
Cc: Barry Song <v-songbaohua@oppo.com>
Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
|
