- 06 Nov, 2021 40 commits
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SeongJae Park authored
This updates DAMON selftests to support updated schemes debugfs file format for the quotas. Link: https://lkml.kernel.org/r/20211019150731.16699-7-sj@kernel.orgSigned-off-by:
SeongJae Park <sj@kernel.org> Cc: Amit Shah <amit@kernel.org> Cc: Benjamin Herrenschmidt <benh@kernel.crashing.org> Cc: David Hildenbrand <david@redhat.com> Cc: David Rientjes <rientjes@google.com> Cc: David Woodhouse <dwmw@amazon.com> Cc: Greg Thelen <gthelen@google.com> Cc: Jonathan Cameron <Jonathan.Cameron@huawei.com> Cc: Jonathan Corbet <corbet@lwn.net> Cc: Leonard Foerster <foersleo@amazon.de> Cc: Marco Elver <elver@google.com> Cc: Markus Boehme <markubo@amazon.de> Cc: Shakeel Butt <shakeelb@google.com> Cc: Shuah Khan <shuah@kernel.org> Signed-off-by:
Andrew Morton <akpm@linux-foundation.org> Signed-off-by:
Linus Torvalds <torvalds@linux-foundation.org>
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SeongJae Park authored
This makes the debugfs interface of DAMON support the scheme quotas by chaning the format of the input for the schemes file. Link: https://lkml.kernel.org/r/20211019150731.16699-6-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
The size quota feature of DAMOS is useful for IO resource-critical systems, but not so intuitive for CPU time-critical systems. Systems using zram or zswap-like swap device would be examples. To provide another intuitive ways for such systems, this implements time-based quota for DAMON-based Operation Schemes. If the quota is set, DAMOS tries to use only up to the user-defined quota of CPU time within a given time window. Link: https://lkml.kernel.org/r/20211019150731.16699-5-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
If DAMOS has stopped applying action in the middle of a group of memory regions due to its size quota, it starts the work again from the beginning of the address space in the next charge window. If there is a huge memory region at the beginning of the address space and it fulfills the scheme's target data access pattern always, the action will applied to only the region. This mitigates the case by skipping memory regions that charged in current charge window at the beginning of next charge window. Link: https://lkml.kernel.org/r/20211019150731.16699-4-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
There could be arbitrarily large memory regions fulfilling the target data access pattern of a DAMON-based operation scheme. In the case, applying the action of the scheme could incur too high overhead. To provide an intuitive way for avoiding it, this implements a feature called size quota. If the quota is set, DAMON tries to apply the action only up to the given amount of memory regions within a given time window. Link: https://lkml.kernel.org/r/20211019150731.16699-3-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
Introduction ============ This patchset 1) makes the engine for general data access pattern-oriented memory management (DAMOS) be more useful for production environments, and 2) implements a static kernel module for lightweight proactive reclamation using the engine. Proactive Reclamation --------------------- On general memory over-committed systems, proactively reclaiming cold pages helps saving memory and reducing latency spikes that incurred by the direct reclaim or the CPU consumption of kswapd, while incurring only minimal performance degradation[2]. A Free Pages Reporting[8] based memory over-commit virtualization system would be one more specific use case. In the system, the guest VMs reports their free memory to host, and the host reallocates the reported memory to other guests. As a result, the system's memory utilization can be maximized. However, the guests could be not so memory-frugal, because some kernel subsystems and user-space applications are designed to use as much memory as available. Then, guests would report only small amount of free memory to host, results in poor memory utilization. Running the proactive reclamation in such guests could help mitigating this problem. Google has also implemented this idea and using it in their data center. They further proposed upstreaming it in LSFMM'19, and "the general consensus was that, while this sort of proactive reclaim would be useful for a number of users, the cost of this particular solution was too high to consider merging it upstream"[3]. The cost mainly comes from the coldness tracking. Roughly speaking, the implementation periodically scans the 'Accessed' bit of each page. For the reason, the overhead linearly increases as the size of the memory and the scanning frequency grows. As a result, Google is known to dedicating one CPU for the work. That's a reasonable option to someone like Google, but it wouldn't be so to some others. DAMON and DAMOS: An engine for data access pattern-oriented memory management ----------------------------------------------------------------------------- DAMON[4] is a framework for general data access monitoring. Its adaptive monitoring overhead control feature minimizes its monitoring overhead. It also let the upper-bound of the overhead be configurable by clients, regardless of the size of the monitoring target memory. While monitoring 70 GiB memory of a production system every 5 milliseconds, it consumes less than 1% single CPU time. For this, it could sacrify some of the quality of the monitoring results. Nevertheless, the lower-bound of the quality is configurable, and it uses a best-effort algorithm for better quality. Our test results[5] show the quality is practical enough. From the production system monitoring, we were able to find a 4 KiB region in the 70 GiB memory that shows highest access frequency. We normally don't monitor the data access pattern just for fun but to improve something like memory management. Proactive reclamation is one such usage. For such general cases, DAMON provides a feature called DAMon-based Operation Schemes (DAMOS)[6]. It makes DAMON an engine for general data access pattern oriented memory management. Using this, clients can ask DAMON to find memory regions of specific data access pattern and apply some memory management action (e.g., page out, move to head of the LRU list, use huge page, ...). We call the request 'scheme'. Proactive Reclamation on top of DAMON/DAMOS ------------------------------------------- Therefore, by using DAMON for the cold pages detection, the proactive reclamation's monitoring overhead issue can be solved. Actually, we previously implemented a version of proactive reclamation using DAMOS and achieved noticeable improvements with our evaluation setup[5]. Nevertheless, it more for a proof-of-concept, rather than production uses. It supports only virtual address spaces of processes, and require additional tuning efforts for given workloads and the hardware. For the tuning, we introduced a simple auto-tuning user space tool[8]. Google is also known to using a ML-based similar approach for their fleets[2]. But, making it just works with intuitive knobs in the kernel would be helpful for general users. To this end, this patchset improves DAMOS to be ready for such production usages, and implements another version of the proactive reclamation, namely DAMON_RECLAIM, on top of it. DAMOS Improvements: Aggressiveness Control, Prioritization, and Watermarks -------------------------------------------------------------------------- First of all, the current version of DAMOS supports only virtual address spaces. This patchset makes it supports the physical address space for the page out action. Next major problem of the current version of DAMOS is the lack of the aggressiveness control, which can results in arbitrary overhead. For example, if huge memory regions having the data access pattern of interest are found, applying the requested action to all of the regions could incur significant overhead. It can be controlled by tuning the target data access pattern with manual or automated approaches[2,7]. But, some people would prefer the kernel to just work with only intuitive tuning or default values. For such cases, this patchset implements a safeguard, namely time/size quota. Using this, the clients can specify up to how much time can be used for applying the action, and/or up to how much memory regions the action can be applied within a user-specified time duration. A followup question is, to which memory regions should the action applied within the limits? We implement a simple regions prioritization mechanism for each action and make DAMOS to apply the action to high priority regions first. It also allows clients tune the prioritization mechanism to use different weights for size, access frequency, and age of memory regions. This means we could use not only LRU but also LFU or some fancy algorithms like CAR[9] with lightweight overhead. Though DAMON is lightweight, someone would want to remove even the cold pages monitoring overhead when it is unnecessary. Currently, it should manually turned on and off by clients, but some clients would simply want to turn it on and off based on some metrics like free memory ratio or memory fragmentation. For such cases, this patchset implements a watermarks-based automatic activation feature. It allows the clients configure the metric of their interest, and three watermarks of the metric. If the metric is higher than the high watermark or lower than the low watermark, the scheme is deactivated. If the metric is lower than the mid watermark but higher than the low watermark, the scheme is activated. DAMON-based Reclaim ------------------- Using the improved version of DAMOS, this patchset implements a static kernel module called 'damon_reclaim'. It finds memory regions that didn't accessed for specific time duration and page out. Consuming too much CPU for the paging out operations, or doing pageout too frequently can be critical for systems configuring their swap devices with software-defined in-memory block devices like zram/zswap or total number of writes limited devices like SSDs, respectively. To avoid the problems, the time/size quotas can be configured. Under the quotas, it pages out memory regions that didn't accessed longer first. Also, to remove the monitoring overhead under peaceful situation, and to fall back to the LRU-list based page granularity reclamation when it doesn't make progress, the three watermarks based activation mechanism is used, with the free memory ratio as the watermark metric. For convenient configurations, it provides several module parameters. Using these, sysadmins can enable/disable it, and tune its parameters including the coldness identification time threshold, the time/size quotas and the three watermarks. Evaluation ========== In short, DAMON_RECLAIM with 50ms/s time quota and regions prioritization on v5.15-rc5 Linux kernel with ZRAM swap device achieves 38.58% memory saving with only 1.94% runtime overhead. For this, DAMON_RECLAIM consumes only 4.97% of single CPU time. Setup ----- We evaluate DAMON_RECLAIM to show how each of the DAMOS improvements make effect. For this, we measure DAMON_RECLAIM's CPU consumption, entire system memory footprint, total number of major page faults, and runtime of 24 realistic workloads in PARSEC3 and SPLASH-2X benchmark suites on my QEMU/KVM based virtual machine. The virtual machine runs on an i3.metal AWS instance, has 130GiB memory, and runs a linux kernel built on latest -mm tree[1] plus this patchset. It also utilizes a 4 GiB ZRAM swap device. We repeats the measurement 5 times and use averages. [1] https://github.com/hnaz/linux-mm/tree/v5.15-rc5-mmots-2021-10-13-19-55 Detailed Results ---------------- The results are summarized in the below table. With coldness identification threshold of 5 seconds, DAMON_RECLAIM without the time quota-based speed limit achieves 47.21% memory saving, but incur 4.59% runtime slowdown to the workloads on average. For this, DAMON_RECLAIM consumes about 11.28% single CPU time. Applying time quotas of 200ms/s, 50ms/s, and 10ms/s without the regions prioritization reduces the slowdown to 4.89%, 2.65%, and 1.5%, respectively. Time quota of 200ms/s (20%) makes no real change compared to the quota unapplied version, because the quota unapplied version consumes only 11.28% CPU time. DAMON_RECLAIM's CPU utilization also similarly reduced: 11.24%, 5.51%, and 2.01% of single CPU time. That is, the overhead is proportional to the speed limit. Nevertheless, it also reduces the memory saving because it becomes less aggressive. In detail, the three variants show 48.76%, 37.83%, and 7.85% memory saving, respectively. Applying the regions prioritization (page out regions that not accessed longer first within the time quota) further reduces the performance degradation. Runtime slowdowns and total number of major page faults increase has been 4.89%/218,690% -> 4.39%/166,136% (200ms/s), 2.65%/111,886% -> 1.94%/59,053% (50ms/s), and 1.5%/34,973.40% -> 2.08%/8,781.75% (10ms/s). The runtime under 10ms/s time quota has increased with prioritization, but apparently that's under the margin of error. time quota prioritization memory_saving cpu_util slowdown pgmajfaults overhead N N 47.21% 11.28% 4.59% 194,802% 200ms/s N 48.76% 11.24% 4.89% 218,690% 50ms/s N 37.83% 5.51% 2.65% 111,886% 10ms/s N 7.85% 2.01% 1.5% 34,793.40% 200ms/s Y 50.08% 10.38% 4.39% 166,136% 50ms/s Y 38.58% 4.97% 1.94% 59,053% 10ms/s Y 3.63% 1.73% 2.08% 8,781.75% Baseline and Complete Git Trees =============================== The patches are based on the latest -mm tree (v5.15-rc5-mmots-2021-10-13-19-55). You can also clone the complete git tree from: $ git clone git://github.com/sjp38/linux -b damon_reclaim/patches/v1 The web is also available: https://git.kernel.org/pub/scm/linux/kernel/git/sj/linux.git/tag/?h=damon_reclaim/patches/v1 Sequence Of Patches =================== The first patch makes DAMOS support the physical address space for the page out action. Following five patches (patches 2-6) implement the time/size quotas. Next four patches (patches 7-10) implement the memory regions prioritization within the limit. Then, three following patches (patches 11-13) implement the watermarks-based schemes activation. Finally, the last two patches (patches 14-15) implement and document the DAMON-based reclamation using the advanced DAMOS. [1] https://www.kernel.org/doc/html/v5.15-rc1/vm/damon/index.html [2] https://research.google/pubs/pub48551/ [3] https://lwn.net/Articles/787611/ [4] https://damonitor.github.io [5] https://damonitor.github.io/doc/html/latest/vm/damon/eval.html [6] https://lore.kernel.org/linux-mm/20211001125604.29660-1-sj@kernel.org/ [7] https://github.com/awslabs/damoos [8] https://www.kernel.org/doc/html/latest/vm/free_page_reporting.html [9] https://www.usenix.org/conference/fast-04/car-clock-adaptive-replacement This patch (of 15): This makes the DAMON primitives for physical address space support the pageout action for DAMON-based Operation Schemes. With this commit, hence, users can easily implement system-level data access-aware reclamations using DAMOS. [sj@kernel.org: fix missing-prototype build warning] Link: https://lkml.kernel.org/r/20211025064220.13904-1-sj@kernel.org Link: https://lkml.kernel.org/r/20211019150731.16699-1-sj@kernel.org Link: https://lkml.kernel.org/r/20211019150731.16699-2-sj@kernel.orgSigned-off-by:
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Rongwei Wang authored
In some functions, it's unnecessary to declare 'err' and 'ret' variables at the same time. This patch mainly to simplify the issue of such declarations by reusing one variable. Link: https://lkml.kernel.org/r/20211014073014.35754-1-sj@kernel.orgSigned-off-by:
Rongwei Wang <rongwei.wang@linux.alibaba.com> Signed-off-by:
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Rikard Falkeborn authored
The only usage of these structs is to pass their addresses to walk_page_range(), which takes a pointer to const mm_walk_ops as argument. Make them const to allow the compiler to put them in read-only memory. Link: https://lkml.kernel.org/r/20211014075042.17174-2-rikard.falkeborn@gmail.comSigned-off-by:
Rikard Falkeborn <rikard.falkeborn@gmail.com> Reviewed-by:
Anshuman Khandual <anshuman.khandual@arm.com> Signed-off-by:
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SeongJae Park authored
This updates the DAMON documents for the physical memory address space monitoring support. Link: https://lkml.kernel.org/r/20211012205711.29216-8-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This makes the 'damon-dbgfs' to support the physical memory monitoring, in addition to the virtual memory monitoring. Users can do the physical memory monitoring by writing a special keyword, 'paddr' to the 'target_ids' debugfs file. Then, DAMON will check the special keyword and configure the monitoring context to run with the primitives for the physical address space. Unlike the virtual memory monitoring, the monitoring target region will not be automatically set. Therefore, users should also set the monitoring target address region using the 'init_regions' debugfs file. Also, note that the physical memory monitoring will not automatically terminated. The user should explicitly turn off the monitoring by writing 'off' to the 'monitor_on' debugfs file. Link: https://lkml.kernel.org/r/20211012205711.29216-7-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This implements the monitoring primitives for the physical memory address space. Internally, it uses the PTE Accessed bit, similar to that of the virtual address spaces monitoring primitives. It supports only user memory pages, as idle pages tracking does. If the monitoring target physical memory address range contains non-user memory pages, access check of the pages will do nothing but simply treat the pages as not accessed. Link: https://lkml.kernel.org/r/20211012205711.29216-6-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This moves functions in the default virtual address spaces monitoring primitives that commonly usable from other address spaces like physical address space into a header file. Those will be reused by the physical address space monitoring primitives which will be implemented by the following commit. [sj@kernel.org: include 'highmem.h' to fix a build failure] Link: https://lkml.kernel.org/r/20211014110848.5204-1-sj@kernel.org Link: https://lkml.kernel.org/r/20211012205711.29216-5-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This adds description of the 'init_regions' feature in the DAMON usage document. Link: https://lkml.kernel.org/r/20211012205711.29216-4-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This adds another test case for the new feature, 'init_regions'. Link: https://lkml.kernel.org/r/20211012205711.29216-3-sj@kernel.orgSigned-off-by:
Brendan Higgins <brendanhiggins@google.com> Cc: Amit Shah <amit@kernel.org> Cc: Benjamin Herrenschmidt <benh@kernel.crashing.org> Cc: David Hildenbrand <david@redhat.com> Cc: David Rienjes <rientjes@google.com> Cc: David Woodhouse <dwmw@amazon.com> Cc: Greg Thelen <gthelen@google.com> Cc: Jonathan Cameron <Jonathan.Cameron@huawei.com> Cc: Jonathan Corbet <corbet@lwn.net> Cc: Leonard Foerster <foersleo@amazon.de> Cc: Marco Elver <elver@google.com> Cc: Markus Boehme <markubo@amazon.de> Cc: Shakeel Butt <shakeelb@google.com> Cc: Shuah Khan <shuah@kernel.org> Signed-off-by:
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SeongJae Park authored
Patch series "DAMON: Support Physical Memory Address Space Monitoring:. DAMON currently supports only virtual address spaces monitoring. It can be easily extended for various use cases and address spaces by configuring its monitoring primitives layer to use appropriate primitives implementations, though. This patchset implements monitoring primitives for the physical address space monitoring using the structure. The first 3 patches allow the user space users manually set the monitoring regions. The 1st patch implements the feature in the 'damon-dbgfs'. Then, patches for adding a unit tests (the 2nd patch) and updating the documentation (the 3rd patch) follow. Following 4 patches implement the physical address space monitoring primitives. The 4th patch makes some primitive functions for the virtual address spaces primitives reusable. The 5th patch implements the physical address space monitoring primitives. The 6th patch links the primitives to the 'damon-dbgfs'. Finally, 7th patch documents this new features. This patch (of 7): Some 'damon-dbgfs' users would want to monitor only a part of the entire virtual memory address space. The program interface users in the kernel space could use '->before_start()' callback or set the regions inside the context struct as they want, but 'damon-dbgfs' users cannot. For that reason, this introduces a new debugfs file called 'init_region'. 'damon-dbgfs' users can specify which initial monitoring target address regions they want by writing special input to the file. The input should describe each region in each line in the below form: <pid> <start address> <end address> Note that the regions will be updated to cover entire memory mapped regions after a 'regions update interval' is passed. If you want the regions to not be updated after the initial setting, you could set the interval as a very long time, say, a few decades. Link: https://lkml.kernel.org/r/20211012205711.29216-1-sj@kernel.org Link: https://lkml.kernel.org/r/20211012205711.29216-2-sj@kernel.orgSigned-off-by: -
SeongJae Park authored
This adds the description of DAMON-based operation schemes in the DAMON documents. Link: https://lkml.kernel.org/r/20211001125604.29660-8-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This adds simple selftets for 'schemes' debugfs file of DAMON. Link: https://lkml.kernel.org/r/20211001125604.29660-7-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
To tune the DAMON-based operation schemes, knowing how many and how large regions are affected by each of the schemes will be helful. Those stats could be used for not only the tuning, but also monitoring of the working set size and the number of regions, if the scheme does not change the program behavior too much. For the reason, this implements the statistics for the schemes. The total number and size of the regions that each scheme is applied are exported to users via '->stat_count' and '->stat_sz' of 'struct damos'. Admins can also check the number by reading 'schemes' debugfs file. The last two integers now represents the stats. To allow collecting the stats without changing the program behavior, this also adds new scheme action, 'DAMOS_STAT'. Note that 'DAMOS_STAT' is not only making no memory operation actions, but also does not reset the age of regions. Link: https://lkml.kernel.org/r/20211001125604.29660-6-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
This makes 'damon-dbgfs' to support the data access monitoring oriented memory management schemes. Users can read and update the schemes using ``<debugfs>/damon/schemes`` file. The format is:: <min/max size> <min/max access frequency> <min/max age> <action> Link: https://lkml.kernel.org/r/20211001125604.29660-5-sj@kernel.orgSigned-off-by: -
SeongJae Park authored
This makes DAMON's default primitives for virtual address spaces to support DAMON-based Operation Schemes (DAMOS) by implementing actions application functions and registering it to the monitoring context. The implementation simply links 'madvise()' for related DAMOS actions. That is, 'madvise(MADV_WILLNEED)' is called for 'WILLNEED' DAMOS action and similar for other actions ('COLD', 'PAGEOUT', 'HUGEPAGE', 'NOHUGEPAGE'). So, the kernel space DAMON users can now use the DAMON-based optimizations with only small amount of code. Link: https://lkml.kernel.org/r/20211001125604.29660-4-sj@kernel.orgSigned-off-by: -
SeongJae Park authored
In many cases, users might use DAMON for simple data access aware memory management optimizations such as applying an operation scheme to a memory region of a specific size having a specific access frequency for a specific time. For example, "page out a memory region larger than 100 MiB but having a low access frequency more than 10 minutes", or "Use THP for a memory region larger than 2 MiB having a high access frequency for more than 2 seconds". Most simple form of the solution would be doing offline data access pattern profiling using DAMON and modifying the application source code or system configuration based on the profiling results. Or, developing a daemon constructed with two modules (one for access monitoring and the other for applying memory management actions via mlock(), madvise(), sysctl, etc) is imaginable. To avoid users spending their time for implementation of such simple data access monitoring-based operation schemes, this makes DAMON to handle such schemes directly. With this change, users can simply specify their desired schemes to DAMON. Then, DAMON will automatically apply the schemes to the user-specified target processes. Each of the schemes is composed with conditions for filtering of the target memory regions and desired memory management action for the target. Specifically, the format is:: <min/max size> <min/max access frequency> <min/max age> <action> The filtering conditions are size of memory region, number of accesses to the region monitored by DAMON, and the age of the region. The age of region is incremented periodically but reset when its addresses or access frequency has significantly changed or the action of a scheme was applied. For the action, current implementation supports a few of madvise()-like hints, ``WILLNEED``, ``COLD``, ``PAGEOUT``, ``HUGEPAGE``, and ``NOHUGEPAGE``. Because DAMON supports various address spaces and application of the actions to a monitoring target region is dependent to the type of the target address space, the application code should be implemented by each primitives and registered to the framework. Note that this only implements the framework part. Following commit will implement the action applications for virtual address spaces primitives. Link: https://lkml.kernel.org/r/20211001125604.29660-3-sj@kernel.orgSigned-off-by: -
SeongJae Park authored
Patch series "Implement Data Access Monitoring-based Memory Operation Schemes". Introduction ============ DAMON[1] can be used as a primitive for data access aware memory management optimizations. For that, users who want such optimizations should run DAMON, read the monitoring results, analyze it, plan a new memory management scheme, and apply the new scheme by themselves. Such efforts will be inevitable for some complicated optimizations. However, in many other cases, the users would simply want the system to apply a memory management action to a memory region of a specific size having a specific access frequency for a specific time. For example, "page out a memory region larger than 100 MiB keeping only rare accesses more than 2 minutes", or "Do not use THP for a memory region larger than 2 MiB rarely accessed for more than 1 seconds". To make the works easier and non-redundant, this patchset implements a new feature of DAMON, which is called Data Access Monitoring-based Operation Schemes (DAMOS). Using the feature, users can describe the normal schemes in a simple way and ask DAMON to execute those on its own. [1] https://damonitor.github.io Evaluations =========== DAMOS is accurate and useful for memory management optimizations. An experimental DAMON-based operation scheme for THP, 'ethp', removes 76.15% of THP memory overheads while preserving 51.25% of THP speedup. Another experimental DAMON-based 'proactive reclamation' implementation, 'prcl', reduces 93.38% of residential sets and 23.63% of system memory footprint while incurring only 1.22% runtime overhead in the best case (parsec3/freqmine). NOTE that the experimental THP optimization and proactive reclamation are not for production but only for proof of concepts. Please refer to the showcase web site's evaluation document[1] for detailed evaluation setup and results. [1] https://damonitor.github.io/doc/html/v34/vm/damon/eval.html Long-term Support Trees ----------------------- For people who want to test DAMON but using LTS kernels, there are another couple of trees based on two latest LTS kernels respectively and containing the 'damon/master' backports. - For v5.4.y: https://git.kernel.org/sj/h/damon/for-v5.4.y - For v5.10.y: https://git.kernel.org/sj/h/damon/for-v5.10.y Sequence Of Patches =================== The 1st patch accounts age of each region. The 2nd patch implements the core of the DAMON-based operation schemes feature. The 3rd patch makes the default monitoring primitives for virtual address spaces to support the schemes. From this point, the kernel space users can use DAMOS. The 4th patch exports the feature to the user space via the debugfs interface. The 5th patch implements schemes statistics feature for easier tuning of the schemes and runtime access pattern analysis, and the 6th patch adds selftests for these changes. Finally, the 7th patch documents this new feature. This patch (of 7): DAMON can be used for data access pattern aware memory management optimizations. For that, users should run DAMON, read the monitoring results, analyze it, plan a new memory management scheme, and apply the new scheme by themselves. It would not be too hard, but still require some level of effort. For complicated cases, this effort is inevitable. That said, in many cases, users would simply want to apply an actions to a memory region of a specific size having a specific access frequency for a specific time. For example, "page out a memory region larger than 100 MiB but having a low access frequency more than 10 minutes", or "Use THP for a memory region larger than 2 MiB having a high access frequency for more than 2 seconds". For such optimizations, users will need to first account the age of each region themselves. To reduce such efforts, this implements a simple age account of each region in DAMON. For each aggregation step, DAMON compares the access frequency with that from last aggregation and reset the age of the region if the change is significant. Else, the age is incremented. Also, in case of the merge of regions, the region size-weighted average of the ages is set as the age of merged new region. Link: https://lkml.kernel.org/r/20211001125604.29660-1-sj@kernel.org Link: https://lkml.kernel.org/r/20211001125604.29660-2-sj@kernel.orgSigned-off-by:
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Colin Ian King authored
Currently a plain integer is being used to nullify the pointer ctx->kdamond. Use NULL instead. Cleans up sparse warning: mm/damon/core.c:317:40: warning: Using plain integer as NULL pointer Link: https://lkml.kernel.org/r/20210925215908.181226-1-colin.king@canonical.comSigned-off-by:
Colin Ian King <colin.king@canonical.com> Reviewed-by:
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Changbin Du authored
Just get the pid by 'current->pid'. Meanwhile, to be symmetrical make the 'starts' and 'finishes' logs both use debug level. Link: https://lkml.kernel.org/r/20210927232432.17750-1-changbin.du@gmail.comSigned-off-by:
Changbin Du <changbin.du@gmail.com> Reviewed-by:
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Changbin Du authored
Just return from the kthread function. Link: https://lkml.kernel.org/r/20210927232421.17694-1-changbin.du@gmail.comSigned-off-by:
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SeongJae Park authored
Logging of kdamond startup is using 'pr_info()' unnecessarily. This makes it to use 'pr_debug()' instead. Link: https://lkml.kernel.org/r/20210917123958.3819-6-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
A few Kernel-doc comments in 'damon.h' are broken. This fixes them. Link: https://lkml.kernel.org/r/20210917123958.3819-5-sj@kernel.orgSigned-off-by:
SeongJae Park <sjpark@amazon.de> Cc: Jonathan Corbet <corbet@lwn.net> Signed-off-by:
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SeongJae Park authored
Building DAMON documents warns for a reference to nonexisting doc, as below: $ time make htmldocs [...] Documentation/vm/damon/index.rst:24: WARNING: toctree contains reference to nonexisting document 'vm/damon/plans' This fixes the warning by removing the wrong reference. Link: https://lkml.kernel.org/r/20210917123958.3819-4-sj@kernel.orgSigned-off-by: -
SeongJae Park authored
This updates SeongJae's email address in MAINTAINERS file to his preferred one. Link: https://lkml.kernel.org/r/20210917123958.3819-3-sj@kernel.orgSigned-off-by:
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SeongJae Park authored
Most memory management user guide documents are in 'admin-guide/mm/', but two of those are in 'vm/'. This moves the two docs into 'admin-guide/mm' for easier documents finding. Link: https://lkml.kernel.org/r/20210917123958.3819-2-sj@kernel.orgSigned-off-by:
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Geert Uytterhoeven authored
Correct a singular versus plural grammar mistake in the help text for the DAMON_VADDR config symbol. Link: https://lkml.kernel.org/r/20210914073451.3883834-1-geert@linux-m68k.org Fixes: 3f49584b ("mm/damon: implement primitives for the virtual memory address spaces") Signed-off-by:
Geert Uytterhoeven <geert@linux-m68k.org> Reviewed-by:
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Marco Elver authored
We have observed that on very large machines with newer CPUs, the static key/branch switching delay is on the order of milliseconds. This is due to the required broadcast IPIs, which simply does not scale well to hundreds of CPUs (cores). If done too frequently, this can adversely affect tail latencies of various workloads. One workaround is to increase the sample interval to several seconds, while decreasing sampled allocation coverage, but the problem still exists and could still increase tail latencies. As already noted in the Kconfig help text, there are trade-offs: at lower sample intervals the dynamic branch results in better performance; however, at very large sample intervals, the static keys mode can result in better performance -- careful benchmarking is recommended. Our initial benchmarking showed that with large enough sample intervals and workloads stressing the allocator, the static keys mode was slightly better. Evaluating and observing the possible system-wide side-effects of the static-key-switching induced broadcast IPIs, however, was a blind spot (in particular on large machines with 100s of cores). Therefore, a major downside of the static keys mode is, unfortunately, that it is hard to predict performance on new system architectures and topologies, but also making conclusions about performance of new workloads based on a limited set of benchmarks. Most distributions will simply select the defaults, while targeting a large variety of different workloads and system architectures. As such, the better default is CONFIG_KFENCE_STATIC_KEYS=n, and re-enabling it is only recommended after careful evaluation. For reference, on x86-64 the condition in kfence_alloc() generates exactly 2 instructions in the kmem_cache_alloc() fast-path: | ... | cmpl $0x0,0x1a8021c(%rip) # ffffffff82d560d0 <kfence_allocation_gate> | je ffffffff812d6003 <kmem_cache_alloc+0x243> | ... which, given kfence_allocation_gate is infrequently modified, should be well predicted by most CPUs. Link: https://lkml.kernel.org/r/20211019102524.2807208-2-elver@google.comSigned-off-by:
Marco Elver <elver@google.com> Cc: Alexander Potapenko <glider@google.com> Cc: Dmitry Vyukov <dvyukov@google.com> Cc: Jann Horn <jannh@google.com> Signed-off-by:
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Marco Elver authored
Regardless of KFENCE mode (CONFIG_KFENCE_STATIC_KEYS: either using static keys to gate allocations, or using a simple dynamic branch), always use a static branch to avoid the dynamic branch in kfence_alloc() if KFENCE was disabled at boot. For CONFIG_KFENCE_STATIC_KEYS=n, this now avoids the dynamic branch if KFENCE was disabled at boot. To simplify, also unifies the location where kfence_allocation_gate is read-checked to just be inline in kfence_alloc(). Link: https://lkml.kernel.org/r/20211019102524.2807208-1-elver@google.comSigned-off-by:
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Marco Elver authored
Initializing memory and setting/checking the canary bytes is relatively expensive, and doing so in the meta->lock critical sections extends the duration with preemption and interrupts disabled unnecessarily. Any reads to meta->addr and meta->size in kfence_guarded_alloc() and kfence_guarded_free() don't require locking meta->lock as long as the object is removed from the freelist: only kfence_guarded_alloc() sets meta->addr and meta->size after removing it from the freelist, which requires a preceding kfence_guarded_free() returning it to the list or the initial state. Therefore move reads to meta->addr and meta->size, including expensive memory initialization using them, out of meta->lock critical sections. Link: https://lkml.kernel.org/r/20210930153706.2105471-1-elver@google.comSigned-off-by:
Alexander Potapenko <glider@google.com> Cc: Dmitry Vyukov <dvyukov@google.com> Cc: Jann Horn <jannh@google.com> Signed-off-by:
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Marco Elver authored
Use the new kunit_skip() to skip tests if requirements were not met. It makes it easier to see in KUnit's summary if there were skipped tests. Link: https://lkml.kernel.org/r/20210922182541.1372400-1-elver@google.comSigned-off-by:
David Gow <davidgow@google.com> Cc: Alexander Potapenko <glider@google.com> Cc: Dmitry Vyukov <dvyukov@google.com> Cc: Aleksandr Nogikh <nogikh@google.com> Cc: Taras Madan <tarasmadan@google.com> Signed-off-by:
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Marco Elver authored
Add a note briefly mentioning the new policy about "skipping currently covered allocations if pool close to full." Since this has a notable impact on KFENCE's bug-detection ability on systems with large uptimes, it is worth pointing out the feature. Link: https://lkml.kernel.org/r/20210923104803.2620285-5-elver@google.comSigned-off-by:
Dmitry Vyukov <dvyukov@google.com> Acked-by:
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Marco Elver authored
One of KFENCE's main design principles is that with increasing uptime, allocation coverage increases sufficiently to detect previously undetected bugs. We have observed that frequent long-lived allocations of the same source (e.g. pagecache) tend to permanently fill up the KFENCE pool with increasing system uptime, thus breaking the above requirement. The workaround thus far had been increasing the sample interval and/or increasing the KFENCE pool size, but is no reliable solution. To ensure diverse coverage of allocations, limit currently covered allocations of the same source once pool utilization reaches 75% (configurable via `kfence.skip_covered_thresh`) or above. The effect is retaining reasonable allocation coverage when the pool is close to full. A side-effect is that this also limits frequent long-lived allocations of the same source filling up the pool permanently. Uniqueness of an allocation for coverage purposes is based on its (partial) allocation stack trace (the source). A Counting Bloom filter is used to check if an allocation is covered; if the allocation is currently covered, the allocation is skipped by KFENCE. Testing was done using: (a) a synthetic workload that performs frequent long-lived allocations (default config values; sample_interval=1; num_objects=63), and (b) normal desktop workloads on an otherwise idle machine where the problem was first reported after a few days of uptime (default config values). In both test cases the sampled allocation rate no longer drops to zero at any point. In the case of (b) we observe (after 2 days uptime) 15% unique allocations in the pool, 77% pool utilization, with 20% "skipped allocations (covered)". [elver@google.com: simplify and just use hash_32(), use more random stack_hash_seed] Link: https://lkml.kernel.org/r/YU3MRGaCaJiYht5g@elver.google.com [elver@google.com: fix 32 bit] Link: https://lkml.kernel.org/r/20210923104803.2620285-4-elver@google.comSigned-off-by:
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Marco Elver authored
Move the saving of the stack trace of allocations into __kfence_alloc(), so that the stack entries array can be used outside of kfence_guarded_alloc() and we avoid potentially unwinding the stack multiple times. Link: https://lkml.kernel.org/r/20210923104803.2620285-3-elver@google.comSigned-off-by:
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Marco Elver authored
Maintain a counter to count allocations that are skipped due to being incompatible (oversized, incompatible gfp flags) or no capacity. This is to compute the fraction of allocations that could not be serviced by KFENCE, which we expect to be rare. Link: https://lkml.kernel.org/r/20210923104803.2620285-2-elver@google.comSigned-off-by:
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Marco Elver authored
filter_irq_stacks() has little to do with the stackdepot implementation, except that it is usually used by users (such as KASAN) of stackdepot to reduce the stack trace. However, filter_irq_stacks() itself is not useful without a stack trace as obtained by stack_trace_save() and friends. Therefore, move filter_irq_stacks() to kernel/stacktrace.c, so that new users of filter_irq_stacks() do not have to start depending on STACKDEPOT only for filter_irq_stacks(). Link: https://lkml.kernel.org/r/20210923104803.2620285-1-elver@google.comSigned-off-by:
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