v6.6.39
837 Commits
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c57824d4fe |
workqueue: Fix selection of wake_cpu in kick_pool()
commit |
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a99d7274a2 |
Revert "workqueue.c: Increase workqueue name length"
This reverts commit |
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d8354f268d |
Revert "workqueue: Move pwq->max_active to wq->max_active"
This reverts commit |
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35bf38dd16 |
Revert "workqueue: Factor out pwq_is_empty()"
This reverts commit |
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957578ec33 |
Revert "workqueue: Replace pwq_activate_inactive_work() with [__]pwq_activate_work()"
This reverts commit |
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5debbff953 |
Revert "workqueue: Move nr_active handling into helpers"
This reverts commit |
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e3ee73b57a |
Revert "workqueue: Make wq_adjust_max_active() round-robin pwqs while activating"
This reverts commit
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f3c11cb27a |
Revert "workqueue: RCU protect wq->dfl_pwq and implement accessors for it"
This reverts commit |
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bfb429f370 |
Revert "workqueue: Introduce struct wq_node_nr_active"
This reverts commit |
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6741dd3fd3 |
Revert "workqueue: Implement system-wide nr_active enforcement for unbound workqueues"
This reverts commit |
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a75ac2693d |
Revert "workqueue: Don't call cpumask_test_cpu() with -1 CPU in wq_update_node_max_active()"
This reverts commit |
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7bff1820bc |
Revert "workqueue: Shorten events_freezable_power_efficient name"
This reverts commit |
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8b93439027 |
workqueue: Shorten events_freezable_power_efficient name
commit
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7df62b8cca |
workqueue: Don't call cpumask_test_cpu() with -1 CPU in wq_update_node_max_active()
[ Upstream commit |
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5a70baec22 |
workqueue: Implement system-wide nr_active enforcement for unbound workqueues
[ Upstream commit |
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b522229a56 |
workqueue: Introduce struct wq_node_nr_active
[ Upstream commit |
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bd31fb926d |
workqueue: RCU protect wq->dfl_pwq and implement accessors for it
[ Upstream commit |
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5f99fee6f2 |
workqueue: Make wq_adjust_max_active() round-robin pwqs while activating
[ Upstream commit |
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4023a2d950 |
workqueue: Move nr_active handling into helpers
[ Upstream commit |
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6c592f0bb9 |
workqueue: Replace pwq_activate_inactive_work() with [__]pwq_activate_work()
[ Upstream commit |
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bad184d26a |
workqueue: Factor out pwq_is_empty()
[ Upstream commit |
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82e098f5be |
workqueue: Move pwq->max_active to wq->max_active
[ Upstream commit |
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43a181f8f4 |
workqueue.c: Increase workqueue name length
[ Upstream commit |
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5ad73e1056 |
Revert "workqueue: Override implicit ordered attribute in workqueue_apply_unbound_cpumask()"
commit |
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b2c562a7a8 |
workqueue: Make sure that wq_unbound_cpumask is never empty
commit |
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be2355b776 |
workqueue: Provide one lock class key per work_on_cpu() callsite
[ Upstream commit
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5d9c7a1e3e |
workqueue: fix -Wformat-truncation in create_worker
Compiling with W=1 emitted the following warning (Compiler: gcc (x86-64, ver. 13.2.1, .config: result of make allyesconfig, "Treat warnings as errors" turned off): kernel/workqueue.c:2188:54: warning: ‘%d’ directive output may be truncated writing between 1 and 10 bytes into a region of size between 5 and 14 [-Wformat-truncation=] kernel/workqueue.c:2188:50: note: directive argument in the range [0, 2147483647] kernel/workqueue.c:2188:17: note: ‘snprintf’ output between 4 and 23 bytes into a destination of size 16 setting "id_buf" to size 23 will silence the warning, since GCC determines snprintf's output to be max. 23 bytes in line 2188. Please let me know if there are any mistakes in my patch! Signed-off-by: Lucy Mielke <lucymielke@icloud.com> Signed-off-by: Tejun Heo <tj@kernel.org> |
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ca10d851b9 |
workqueue: Override implicit ordered attribute in workqueue_apply_unbound_cpumask()
Commit |
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7b42f401fc |
workqueue: Use the kmem_cache_free() instead of kfree() to release pwq
Currently, the kfree() be used for pwq objects allocated with kmem_cache_alloc() in alloc_and_link_pwqs(), this isn't wrong. but usually, use "trace_kmem_cache_alloc/trace_kmem_cache_free" to track memory allocation and free. this commit therefore use kmem_cache_free() instead of kfree() in alloc_and_link_pwqs() and also consistent with release of the pwq in rcu_free_pwq(). Signed-off-by: Zqiang <qiang.zhang1211@gmail.com> Signed-off-by: Tejun Heo <tj@kernel.org> |
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6434455318 |
workqueue: Fix UAF report by KASAN in pwq_release_workfn()
Currently, for UNBOUND wq, if the apply_wqattrs_prepare() return error, the apply_wqattr_cleanup() will be called and use the pwq_release_worker kthread to release resources asynchronously. however, the kfree(wq) is invoked directly in failure path of alloc_workqueue(), if the kfree(wq) has been executed and when the pwq_release_workfn() accesses wq, this leads to the following scenario: BUG: KASAN: slab-use-after-free in pwq_release_workfn+0x339/0x380 kernel/workqueue.c:4124 Read of size 4 at addr ffff888027b831c0 by task pool_workqueue_/3 CPU: 0 PID: 3 Comm: pool_workqueue_ Not tainted 6.5.0-rc7-next-20230825-syzkaller #0 Hardware name: Google Compute Engine/Google Compute Engine, BIOS Google 07/26/2023 Call Trace: <TASK> __dump_stack lib/dump_stack.c:88 [inline] dump_stack_lvl+0xd9/0x1b0 lib/dump_stack.c:106 print_address_description mm/kasan/report.c:364 [inline] print_report+0xc4/0x620 mm/kasan/report.c:475 kasan_report+0xda/0x110 mm/kasan/report.c:588 pwq_release_workfn+0x339/0x380 kernel/workqueue.c:4124 kthread_worker_fn+0x2fc/0xa80 kernel/kthread.c:823 kthread+0x33a/0x430 kernel/kthread.c:388 ret_from_fork+0x45/0x80 arch/x86/kernel/process.c:147 ret_from_fork_asm+0x11/0x20 arch/x86/entry/entry_64.S:304 </TASK> Allocated by task 5054: kasan_save_stack+0x33/0x50 mm/kasan/common.c:45 kasan_set_track+0x25/0x30 mm/kasan/common.c:52 ____kasan_kmalloc mm/kasan/common.c:374 [inline] __kasan_kmalloc+0xa2/0xb0 mm/kasan/common.c:383 kmalloc include/linux/slab.h:599 [inline] kzalloc include/linux/slab.h:720 [inline] alloc_workqueue+0x16f/0x1490 kernel/workqueue.c:4684 kvm_mmu_init_tdp_mmu+0x23/0x100 arch/x86/kvm/mmu/tdp_mmu.c:19 kvm_mmu_init_vm+0x248/0x2e0 arch/x86/kvm/mmu/mmu.c:6180 kvm_arch_init_vm+0x39/0x720 arch/x86/kvm/x86.c:12311 kvm_create_vm arch/x86/kvm/../../../virt/kvm/kvm_main.c:1222 [inline] kvm_dev_ioctl_create_vm arch/x86/kvm/../../../virt/kvm/kvm_main.c:5089 [inline] kvm_dev_ioctl+0xa31/0x1c20 arch/x86/kvm/../../../virt/kvm/kvm_main.c:5131 vfs_ioctl fs/ioctl.c:51 [inline] __do_sys_ioctl fs/ioctl.c:871 [inline] __se_sys_ioctl fs/ioctl.c:857 [inline] __x64_sys_ioctl+0x18f/0x210 fs/ioctl.c:857 do_syscall_x64 arch/x86/entry/common.c:50 [inline] do_syscall_64+0x38/0xb0 arch/x86/entry/common.c:80 entry_SYSCALL_64_after_hwframe+0x63/0xcd Freed by task 5054: kasan_save_stack+0x33/0x50 mm/kasan/common.c:45 kasan_set_track+0x25/0x30 mm/kasan/common.c:52 kasan_save_free_info+0x2b/0x40 mm/kasan/generic.c:522 ____kasan_slab_free mm/kasan/common.c:236 [inline] ____kasan_slab_free+0x15b/0x1b0 mm/kasan/common.c:200 kasan_slab_free include/linux/kasan.h:164 [inline] slab_free_hook mm/slub.c:1800 [inline] slab_free_freelist_hook+0x114/0x1e0 mm/slub.c:1826 slab_free mm/slub.c:3809 [inline] __kmem_cache_free+0xb8/0x2f0 mm/slub.c:3822 alloc_workqueue+0xe76/0x1490 kernel/workqueue.c:4746 kvm_mmu_init_tdp_mmu+0x23/0x100 arch/x86/kvm/mmu/tdp_mmu.c:19 kvm_mmu_init_vm+0x248/0x2e0 arch/x86/kvm/mmu/mmu.c:6180 kvm_arch_init_vm+0x39/0x720 arch/x86/kvm/x86.c:12311 kvm_create_vm arch/x86/kvm/../../../virt/kvm/kvm_main.c:1222 [inline] kvm_dev_ioctl_create_vm arch/x86/kvm/../../../virt/kvm/kvm_main.c:5089 [inline] kvm_dev_ioctl+0xa31/0x1c20 arch/x86/kvm/../../../virt/kvm/kvm_main.c:5131 vfs_ioctl fs/ioctl.c:51 [inline] __do_sys_ioctl fs/ioctl.c:871 [inline] __se_sys_ioctl fs/ioctl.c:857 [inline] __x64_sys_ioctl+0x18f/0x210 fs/ioctl.c:857 do_syscall_x64 arch/x86/entry/common.c:50 [inline] do_syscall_64+0x38/0xb0 arch/x86/entry/common.c:80 entry_SYSCALL_64_after_hwframe+0x63/0xcd This commit therefore flush pwq_release_worker in the alloc_and_link_pwqs() before invoke kfree(wq). Reported-by: syzbot+60db9f652c92d5bacba4@syzkaller.appspotmail.com Closes: https://syzkaller.appspot.com/bug?extid=60db9f652c92d5bacba4 Signed-off-by: Zqiang <qiang.zhang1211@gmail.com> Signed-off-by: Tejun Heo <tj@kernel.org> |
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dd64c873ed |
workqueue: Fix missed pwq_release_worker creation in wq_cpu_intensive_thresh_init()
Currently, if the wq_cpu_intensive_thresh_us is set to specific
value, will cause the wq_cpu_intensive_thresh_init() early exit
and missed creation of pwq_release_worker. this commit therefore
create the pwq_release_worker in advance before checking the
wq_cpu_intensive_thresh_us.
Signed-off-by: Zqiang <qiang.zhang1211@gmail.com>
Signed-off-by: Tejun Heo <tj@kernel.org>
Fixes:
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a682821448 |
workqueue: Removed double allocation of wq_update_pod_attrs_buf
First commit |
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fe48ba7dae |
workqueue: fix data race with the pwq->stats[] increment
KCSAN has discovered a data race in kernel/workqueue.c:2598:
[ 1863.554079] ==================================================================
[ 1863.554118] BUG: KCSAN: data-race in process_one_work / process_one_work
[ 1863.554142] write to 0xffff963d99d79998 of 8 bytes by task 5394 on cpu 27:
[ 1863.554154] process_one_work (kernel/workqueue.c:2598)
[ 1863.554166] worker_thread (./include/linux/list.h:292 kernel/workqueue.c:2752)
[ 1863.554177] kthread (kernel/kthread.c:389)
[ 1863.554186] ret_from_fork (arch/x86/kernel/process.c:145)
[ 1863.554197] ret_from_fork_asm (arch/x86/entry/entry_64.S:312)
[ 1863.554213] read to 0xffff963d99d79998 of 8 bytes by task 5450 on cpu 12:
[ 1863.554224] process_one_work (kernel/workqueue.c:2598)
[ 1863.554235] worker_thread (./include/linux/list.h:292 kernel/workqueue.c:2752)
[ 1863.554247] kthread (kernel/kthread.c:389)
[ 1863.554255] ret_from_fork (arch/x86/kernel/process.c:145)
[ 1863.554266] ret_from_fork_asm (arch/x86/entry/entry_64.S:312)
[ 1863.554280] value changed: 0x0000000000001766 -> 0x000000000000176a
[ 1863.554295] Reported by Kernel Concurrency Sanitizer on:
[ 1863.554303] CPU: 12 PID: 5450 Comm: kworker/u64:1 Tainted: G L 6.5.0-rc6+ #44
[ 1863.554314] Hardware name: ASRock X670E PG Lightning/X670E PG Lightning, BIOS 1.21 04/26/2023
[ 1863.554322] Workqueue: btrfs-endio btrfs_end_bio_work [btrfs]
[ 1863.554941] ==================================================================
lockdep_invariant_state(true);
→ pwq->stats[PWQ_STAT_STARTED]++;
trace_workqueue_execute_start(work);
worker->current_func(work);
Moving pwq->stats[PWQ_STAT_STARTED]++; before the line
raw_spin_unlock_irq(&pool->lock);
resolves the data race without performance penalty.
KCSAN detected at least one additional data race:
[ 157.834751] ==================================================================
[ 157.834770] BUG: KCSAN: data-race in process_one_work / process_one_work
[ 157.834793] write to 0xffff9934453f77a0 of 8 bytes by task 468 on cpu 29:
[ 157.834804] process_one_work (/home/marvin/linux/kernel/linux_torvalds/kernel/workqueue.c:2606)
[ 157.834815] worker_thread (/home/marvin/linux/kernel/linux_torvalds/./include/linux/list.h:292 /home/marvin/linux/kernel/linux_torvalds/kernel/workqueue.c:2752)
[ 157.834826] kthread (/home/marvin/linux/kernel/linux_torvalds/kernel/kthread.c:389)
[ 157.834834] ret_from_fork (/home/marvin/linux/kernel/linux_torvalds/arch/x86/kernel/process.c:145)
[ 157.834845] ret_from_fork_asm (/home/marvin/linux/kernel/linux_torvalds/arch/x86/entry/entry_64.S:312)
[ 157.834859] read to 0xffff9934453f77a0 of 8 bytes by task 214 on cpu 7:
[ 157.834868] process_one_work (/home/marvin/linux/kernel/linux_torvalds/kernel/workqueue.c:2606)
[ 157.834879] worker_thread (/home/marvin/linux/kernel/linux_torvalds/./include/linux/list.h:292 /home/marvin/linux/kernel/linux_torvalds/kernel/workqueue.c:2752)
[ 157.834890] kthread (/home/marvin/linux/kernel/linux_torvalds/kernel/kthread.c:389)
[ 157.834897] ret_from_fork (/home/marvin/linux/kernel/linux_torvalds/arch/x86/kernel/process.c:145)
[ 157.834907] ret_from_fork_asm (/home/marvin/linux/kernel/linux_torvalds/arch/x86/entry/entry_64.S:312)
[ 157.834920] value changed: 0x000000000000052a -> 0x0000000000000532
[ 157.834933] Reported by Kernel Concurrency Sanitizer on:
[ 157.834941] CPU: 7 PID: 214 Comm: kworker/u64:2 Tainted: G L 6.5.0-rc7-kcsan-00169-g81eaf55a60fc #4
[ 157.834951] Hardware name: ASRock X670E PG Lightning/X670E PG Lightning, BIOS 1.21 04/26/2023
[ 157.834958] Workqueue: btrfs-endio btrfs_end_bio_work [btrfs]
[ 157.835567] ==================================================================
in code:
trace_workqueue_execute_end(work, worker->current_func);
→ pwq->stats[PWQ_STAT_COMPLETED]++;
lock_map_release(&lockdep_map);
lock_map_release(&pwq->wq->lockdep_map);
which needs to be resolved separately.
Fixes:
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b6a46f7263 |
workqueue: Rename rescuer kworker
Each CPU-specific and unbound kworker kthread conforms to a particular
naming scheme. However, this does not extend to the rescuer kworker.
At present, a rescuer kworker is simply named according to its
workqueue's name. This can be cryptic.
This patch modifies a rescuer to follow the kworker naming scheme.
The "R" is indicative of a rescuer and after "-" is its workqueue's
name e.g. "kworker/R-ext4-rsv-conver".
tj: Use "R" instead of "r" as the prefix to make it more distinctive and
consistent with how highpri pools are marked.
Signed-off-by: Aaron Tomlin <atomlin@atomlin.com>
Signed-off-by: Tejun Heo <tj@kernel.org>
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523a301e66 |
workqueue: Make default affinity_scope dynamically updatable
While workqueue.default_affinity_scope is writable, it only affects workqueues which are created afterwards and isn't very useful. Instead, let's introduce explicit "default" scope and update the effective scope dynamically when workqueue.default_affinity_scope is changed. Signed-off-by: Tejun Heo <tj@kernel.org> |
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8639ecebc9 |
workqueue: Implement non-strict affinity scope for unbound workqueues
An unbound workqueue can be served by multiple worker_pools to improve locality. The segmentation is achieved by grouping CPUs into pods. By default, the cache boundaries according to cpus_share_cache() define the CPUs are grouped. Let's a workqueue is allowed to run on all CPUs and the system has two L3 caches. The workqueue would be mapped to two worker_pools each serving one L3 cache domains. While this improves locality, because the pod boundaries are strict, it limits the total bandwidth a given issuer can consume. For example, let's say there is a thread pinned to a CPU issuing enough work items to saturate the whole machine. With the machine segmented into two pods, no matter how many work items it issues, it can only use half of the CPUs on the system. While this limitation has existed for a very long time, it wasn't very pronounced because the affinity grouping used to be always by NUMA nodes. With cache boundaries as the default and support for even finer grained scopes (smt and cpu), it is now an a lot more pressing problem. This patch implements non-strict affinity scope where the pod boundaries aren't enforced strictly. Going back to the previous example, the workqueue would still be mapped to two worker_pools; however, the affinity enforcement would be soft. The workers in both pools would have their cpus_allowed set to the whole machine thus allowing the scheduler to migrate them anywhere on the machine. However, whenever an idle worker is woken up, the workqueue code asks the scheduler to bring back the task within the pod if the worker is outside. ie. work items start executing within its affinity scope but can be migrated outside as the scheduler sees fit. This removes the hard cap on utilization while maintaining the benefits of affinity scopes. After the earlier ->__pod_cpumask changes, the implementation is pretty simple. When non-strict which is the new default: * pool_allowed_cpus() returns @pool->attrs->cpumask instead of ->__pod_cpumask so that the workers are allowed to run on any CPU that the associated workqueues allow. * If the idle worker task's ->wake_cpu is outside the pod, kick_pool() sets the field to a CPU within the pod. This would be the first use of task_struct->wake_cpu outside scheduler proper, so it isn't clear whether this would be acceptable. However, other methods of migrating tasks are significantly more expensive and are likely prohibitively so if we want to do this on every work item. This needs discussion with scheduler folks. There is also a race window where setting ->wake_cpu wouldn't be effective as the target task is still on CPU. However, the window is pretty small and this being a best-effort optimization, it doesn't seem to warrant more complexity at the moment. While the non-strict cache affinity scopes seem to be the best option, the performance picture interacts with the affinity scope and is a bit complicated to fully discuss in this patch, so the behavior is made easily selectable through wqattrs and sysfs and the next patch will add documentation to discuss performance implications. v2: pool->attrs->affn_strict is set to true for per-cpu worker_pools. Signed-off-by: Tejun Heo <tj@kernel.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> |
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9546b29e4a |
workqueue: Add workqueue_attrs->__pod_cpumask
workqueue_attrs has two uses:
* to specify the required unouned workqueue properties by users
* to match worker_pool's properties to workqueues by core code
For example, if the user wants to restrict a workqueue to run only CPUs 0
and 2, and the two CPUs are on different affinity scopes, the workqueue's
attrs->cpumask would contains CPUs 0 and 2, and the workqueue would be
associated with two worker_pools, one with attrs->cpumask containing just
CPU 0 and the other CPU 2.
Workqueue wants to support non-strict affinity scopes where work items are
started in their matching affinity scopes but the scheduler is free to
migrate them outside the starting scopes, which can enable utilizing the
whole machine while maintaining most of the locality benefits from affinity
scopes.
To enable that, worker_pools need to distinguish the strict affinity that it
has to follow (because that's the restriction coming from the user) and the
soft affinity that it wants to apply when dispatching work items. Note that
two worker_pools with different soft dispatching requirements have to be
separate; otherwise, for example, we'd be ping-ponging worker threads across
NUMA boundaries constantly.
This patch adds workqueue_attrs->__pod_cpumask. The new field is double
underscored as it's only used internally to distinguish worker_pools. A
worker_pool's ->cpumask is now always the same as the online subset of
allowed CPUs of the associated workqueues, and ->__pod_cpumask is the pod's
subset of that ->cpumask. Going back to the example above, both worker_pools
would have ->cpumask containing both CPUs 0 and 2 but one's ->__pod_cpumask
would contain 0 while the other's 2.
* pool_allowed_cpus() is added. It returns the worker_pool's strict cpumask
that the pool's workers must stay within. This is currently always
->__pod_cpumask as all boundaries are still strict.
* As a workqueue_attrs can now track both the associated workqueues' cpumask
and its per-pod subset, wq_calc_pod_cpumask() no longer needs an external
out-argument. Drop @cpumask and instead store the result in
->__pod_cpumask.
* The above also simplifies apply_wqattrs_prepare() as the same
workqueue_attrs can be used to create all pods associated with a
workqueue. tmp_attrs is dropped.
* wq_update_pod() is updated to use wqattrs_equal() to test whether a pwq
update is needed instead of only comparing ->cpumask so that
->__pod_cpumask is compared too. It can directly compare ->__pod_cpumaks
but the code is easier to understand and more robust this way.
The only user-visible behavior change is that two workqueues with different
cpumasks no longer can share worker_pools even when their pod subsets
coincide. Going back to the example, let's say there's another workqueue
with cpumask 0, 2, 3, where 2 and 3 are in the same pod. It would be mapped
to two worker_pools - one with CPU 0, the other with 2 and 3. The former has
the same cpumask as the first pod of the earlier example and would have
shared the same worker_pool but that's no longer the case after this patch.
The worker_pools would have the same ->__pod_cpumask but their ->cpumask's
wouldn't match.
While this is necessary to support non-strict affinity scopes, there can be
further optimizations to maintain sharing among strict affinity scopes.
However, non-strict affinity scopes are going to be preferable for most use
cases and we don't see very diverse mixture of unbound workqueue cpumasks
anyway, so the additional overhead doesn't seem to justify the extra
complexity.
v2: - wq_update_pod() was incorrectly comparing target_attrs->__pod_cpumask
to pool->attrs->cpumask instead of its ->__pod_cpumask. Fix it by
using wqattrs_equal() for comparison instead.
- Per-cpu worker pools weren't initializing ->__pod_cpumask which caused
a subtle problem later on. Set it to cpumask_of(cpu) like ->cpumask.
Signed-off-by: Tejun Heo <tj@kernel.org>
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0219a3528d |
workqueue: Factor out need_more_worker() check and worker wake-up
Checking need_more_worker() and calling wake_up_worker() is a repeated pattern. Let's add kick_pool(), which checks need_more_worker() and open-code wake_up_worker(), and replace wake_up_worker() uses. The following conversions aren't one-to-one: * __queue_work() was using __need_more_work() because it knows that pool->worklist isn't empty. Switching to kick_pool() adds an extra list_empty() test. * create_worker() always needs to wake up the newly minted worker whether there's more work to do or not to avoid triggering hung task check on the new task. Keep the current wake_up_process() and still add kick_pool(). This may lead to an extra wakeup which isn't harmful. * pwq_adjust_max_active() was explicitly checking whether it needs to wake up a worker or not to avoid spurious wakeups. As kick_pool() only wakes up a worker when necessary, this explicit check is no longer necessary and dropped. * unbind_workers() now calls kick_pool() instead of wake_up_worker() adding a need_more_worker() test. This avoids spurious wakeups and shouldn't break anything. wake_up_worker() is dropped as kick_pool() replaces all its users. After this patch, all paths that wakes up a non-rescuer worker to initiate work item execution use kick_pool(). This will enable future changes to improve locality. Signed-off-by: Tejun Heo <tj@kernel.org> |
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873eaca6ea |
workqueue: Factor out work to worker assignment and collision handling
The two work execution paths in worker_thread() and rescuer_thread() use move_linked_works() to claim work items from @pool->worklist. Once claimed, process_schedule_works() is called which invokes process_one_work() on each work item. process_one_work() then uses find_worker_executing_work() to detect and handle collisions - situations where the work item to be executed is still running on another worker. This works fine, but, to improve work execution locality, we want to establish work to worker association earlier and know for sure that the worker is going to excute the work once asssigned, which requires performing collision handling earlier while trying to assign the work item to the worker. This patch introduces assign_work() which assigns a work item to a worker using move_linked_works() and then performs collision handling. As collision handling is handled earlier, process_one_work() no longer needs to worry about them. After the this patch, collision checks for linked work items are skipped, which should be fine as they can't be queued multiple times concurrently. For work items running from rescuers, the timing of collision handling may change but the invariant that the work items go through collision handling before starting execution does not. This patch shouldn't cause noticeable behavior changes, especially given that worker_thread() behavior remains the same. Signed-off-by: Tejun Heo <tj@kernel.org> |
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63c5484e74 |
workqueue: Add multiple affinity scopes and interface to select them
Add three more affinity scopes - WQ_AFFN_CPU, SMT and CACHE - and make CACHE the default. The code changes to actually add the additional scopes are trivial. Also add module parameter "workqueue.default_affinity_scope" to override the default scope and "affinity_scope" sysfs file to configure it per workqueue. wq_dump.py and documentations are updated accordingly. This enables significant flexibility in configuring how unbound workqueues behave. If affinity scope is set to "cpu", it'll behave close to a per-cpu workqueue. On the other hand, "system" removes all locality boundaries. Many modern machines have multiple L3 caches often while being mostly uniform in terms of memory access. Thus, workqueue's previous behavior of spreading work items in each NUMA node had negative performance implications from unncessarily crossing L3 boundaries between issue and execution. However, picking a finer grained affinity scope also has a downside in that an issuer in one group can't utilize CPUs in other groups. While dependent on the specifics of workload, there's usually a noticeable penalty in crossing L3 boundaries, so let's default to CACHE. This issue will be further addressed and documented with examples in future patches. Signed-off-by: Tejun Heo <tj@kernel.org> |
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025e168458 |
workqueue: Modularize wq_pod_type initialization
While wq_pod_type[] can now group CPUs in any aribitrary way, WQ_AFFN_NUM init is hard coded into workqueue_init_topology(). This patch modularizes the init path by introducing init_pod_type() which takes a callback to determine whether two CPUs should share a pod as an argument. init_pod_type() first scans the CPU combinations testing for sharing to assign consecutive pod IDs and initialize pod_type->cpu_pod[]. Once ->cpu_pod[] is determined, ->pod_cpus[] and ->pod_node[] are initialized accordingly. WQ_AFFN_NUMA is now initialized by calling init_pod_type() with cpus_share_numa() which tests whether the CPU belongs to the same NUMA node. This patch may change the pod ID assigned to each NUMA node but that shouldn't cause any behavior changes as the NUMA node to use for allocations are tracked separately in pod_type->pod_node[]. This makes adding new affinty types pretty easy. Signed-off-by: Tejun Heo <tj@kernel.org> |
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84193c0710 |
workqueue: Generalize unbound CPU pods
While renamed to pod, the code still assumes that the pods are defined by
NUMA boundaries. Let's generalize it:
* workqueue_attrs->affn_scope is added. Each enum represents the type of
boundaries that define the pods. There are currently two scopes -
WQ_AFFN_NUMA and WQ_AFFN_SYSTEM. The former is the same behavior as before
- one pod per NUMA node. The latter defines one global pod across the
whole system.
* struct wq_pod_type is added which describes how pods are configured for
each affnity scope. For each pod, it lists the member CPUs and the
preferred NUMA node for memory allocations. The reverse mapping from CPU
to pod is also available.
* wq_pod_enabled is dropped. Pod is now always enabled. The previously
disabled behavior is now implemented through WQ_AFFN_SYSTEM.
* get_unbound_pool() wants to determine the NUMA node to allocate memory
from for the new pool. The variables are renamed from node to pod but the
logic still assumes they're one and the same. Clearly distinguish them -
walk the WQ_AFFN_NUMA pods to find the matching pod and then use the pod's
NUMA node.
* wq_calc_pod_cpumask() was taking @pod but assumed that it was the NUMA
node. Take @cpu instead and determine the cpumask to use from the pod_type
matching @attrs.
* apply_wqattrs_prepare() is update to return ERR_PTR() on error instead of
NULL so that it can indicate -EINVAL on invalid affinity scopes.
This patch allows CPUs to be grouped into pods however desired per type.
While this patch causes some internal behavior changes, nothing material
should change for workqueue users.
v2: Trigger WARN_ON_ONCE() in wqattrs_pod_type() if affn_scope is
WQ_AFFN_NR_TYPES which indicates that the function is called with a
worker_pool's attrs instead of a workqueue's.
Signed-off-by: Tejun Heo <tj@kernel.org>
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5de7a03cac |
workqueue: Factor out clearing of workqueue-only attrs fields
workqueue_attrs can be used for both workqueues and worker_pools. However, some fields, currently only ->ordered, only apply to workqueues and should be cleared to the default / invalid values. Currently, an unbound workqueue explicitly clears attrs->ordered in get_unbound_pool() after copying the source workqueue attrs, while per-cpu workqueues rely on the fact that zeroing on allocation gives us the desired default value for pool->attrs->ordered. This is fragile. Let's add wqattrs_clear_for_pool() which clears attrs->ordered and is called from both init_worker_pool() and get_unbound_pool(). This will ease adding more workqueue-only attrs fields. In get_unbound_pool(), pool->node initialization is moved upwards for readability. This shouldn't cause any behavior changes. Signed-off-by: Tejun Heo <tj@kernel.org> |
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0f36ee24cd |
workqueue: Factor out actual cpumask calculation to reduce subtlety in wq_update_pod()
For an unbound pool, multiple cpumasks are involved. U: The user-specified cpumask (may be filtered with cpu_possible_mask). A: The actual cpumask filtered by wq_unbound_cpumask. If the filtering leaves no CPU, wq_unbound_cpumask is used. P: Per-pod subsets of #A. wq->attrs stores #U, wq->dfl_pwq->pool->attrs->cpumask #A, and wq->cpu_pwq[CPU]->pool->attrs->cpumask #P. wq_update_pod() is called to update per-pod pwq's during CPU hotplug. To calculate the new #P for each workqueue, it needs to call wq_calc_pod_cpumask() with @attrs that contains #A. Currently, wq_update_pod() achieves this by calling wq_calc_pod_cpumask() with wq->dfl_pwq->pool->attrs. This is rather fragile because we're calling wq_calc_pod_cpumask() with @attrs of a worker_pool rather than the workqueue's actual attrs when what we want to calculate is the workqueue's cpumask on the pod. While this works fine currently, future changes will add fields which are used differently between workqueues and worker_pools and this subtlety will bite us. This patch factors out #U -> #A calculation from apply_wqattrs_prepare() into wqattrs_actualize_cpumask and updates wq_update_pod() to copy wq->unbound_attrs and use the new helper to obtain #A freshly instead of abusing wq->dfl_pwq->pool_attrs. This shouldn't cause any behavior changes in the current code. Signed-off-by: Tejun Heo <tj@kernel.org> Reported-by: K Prateek Nayak <kprateek.nayak@amd.com> Reference: http://lkml.kernel.org/r/30625cdd-4d61-594b-8db9-6816b017dde3@amd.com |
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2930155b2e |
workqueue: Initialize unbound CPU pods later in the boot
During boot, to initialize unbound CPU pods, wq_pod_init() was called from workqueue_init(). This is early enough for NUMA nodes to be set up but before SMP is brought up and CPU topology information is populated. Workqueue is in the process of improving CPU locality for unbound workqueues and will need access to topology information during pod init. This adds a new init function workqueue_init_topology() which is called after CPU topology information is available and replaces wq_pod_init(). As unbound CPU pods are now initialized after workqueues are activated, we need to revisit the workqueues to apply the pod configuration. Workqueues which are created before workqueue_init_topology() are set up so that they always use the default worker pool. After pods are set up in workqueue_init_topology(), wq_update_pod() is called on all existing workqueues to update the pool associations accordingly. Note that wq_update_pod_attrs_buf allocation is moved to workqueue_init_early(). This isn't necessary right now but enables further generalization of pod handling in the future. This patch changes the initialization sequence but the end result should be the same. Signed-off-by: Tejun Heo <tj@kernel.org> |
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a86feae619 |
workqueue: Move wq_pod_init() below workqueue_init()
wq_pod_init() is called from workqueue_init() and responsible for initializing unbound CPU pods according to NUMA node. Workqueue is in the process of improving affinity awareness and wants to use other topology information to initialize unbound CPU pods; however, unlike NUMA nodes, other topology information isn't yet available in workqueue_init(). The next patch will introduce a later stage init function for workqueue which will be responsible for initializing unbound CPU pods. Relocate wq_pod_init() below workqueue_init() where the new init function is going to be located so that the diff can show the content differences. Just a relocation. No functional changes. Signed-off-by: Tejun Heo <tj@kernel.org> |
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fef59c9cab |
workqueue: Rename NUMA related names to use pod instead
Workqueue is in the process of improving CPU affinity awareness. It will become more flexible and won't be tied to NUMA node boundaries. This patch renames all NUMA related names in workqueue.c to use "pod" instead. While "pod" isn't a very common term, it short and captures the grouping of CPUs well enough. These names are only going to be used within workqueue implementation proper, so the specific naming doesn't matter that much. * wq_numa_possible_cpumask -> wq_pod_cpus * wq_numa_enabled -> wq_pod_enabled * wq_update_unbound_numa_attrs_buf -> wq_update_pod_attrs_buf * workqueue_select_cpu_near -> select_numa_node_cpu This rename is different from others. The function is only used by queue_work_node() and specifically tries to find a CPU in the specified NUMA node. As workqueue affinity will become more flexible and untied from NUMA, this function's name should specifically describe that it's for NUMA. * wq_calc_node_cpumask -> wq_calc_pod_cpumask * wq_update_unbound_numa -> wq_update_pod * wq_numa_init -> wq_pod_init * node -> pod in local variables Only renames. No functional changes. Signed-off-by: Tejun Heo <tj@kernel.org> |
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af73f5c9fe |
workqueue: Rename workqueue_attrs->no_numa to ->ordered
With the recent removal of NUMA related module param and sysfs knob, workqueue_attrs->no_numa is now only used to implement ordered workqueues. Let's rename the field so that it's less confusing especially with the planned CPU affinity awareness improvements. Just a rename. No functional changes. Signed-off-by: Tejun Heo <tj@kernel.org> |
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636b927eba |
workqueue: Make unbound workqueues to use per-cpu pool_workqueues
A pwq (pool_workqueue) represents an association between a workqueue and a worker_pool. When a work item is queued, the workqueue selects the pwq to use, which in turn determines the pool, and queues the work item to the pool through the pwq. pwq is also what implements the maximum concurrency limit - @max_active. As a per-cpu workqueue should be assocaited with a different worker_pool on each CPU, it always had per-cpu pwq's that are accessed through wq->cpu_pwq. However, unbound workqueues were sharing a pwq within each NUMA node by default. The sharing has several downsides: * Because @max_active is per-pwq, the meaning of @max_active changes depending on the machine configuration and whether workqueue NUMA locality support is enabled. * Makes per-cpu and unbound code deviate. * Gets in the way of making workqueue CPU locality awareness more flexible. This patch makes unbound workqueues use per-cpu pwq's the same way per-cpu workqueues do by making the following changes: * wq->numa_pwq_tbl[] is removed and unbound workqueues now use wq->cpu_pwq just like per-cpu workqueues. wq->cpu_pwq is now RCU protected for unbound workqueues. * numa_pwq_tbl_install() is renamed to install_unbound_pwq() and installs the specified pwq to the target CPU's wq->cpu_pwq. * apply_wqattrs_prepare() now always allocates a separate pwq for each CPU unless the workqueue is ordered. If ordered, all CPUs use wq->dfl_pwq. This makes the return value of wq_calc_node_cpumask() unnecessary. It now returns void. * @max_active now means the same thing for both per-cpu and unbound workqueues. WQ_UNBOUND_MAX_ACTIVE now equals WQ_MAX_ACTIVE and documentation is updated accordingly. WQ_UNBOUND_MAX_ACTIVE is no longer used in workqueue implementation and will be removed later. * All unbound pwq operations which used to be per-numa-node are now per-cpu. For most unbound workqueue users, this shouldn't cause noticeable changes. Work item issue and completion will be a small bit faster, flush_workqueue() would become a bit more expensive, and the total concurrency limit would likely become higher. All @max_active==1 use cases are currently being audited for conversion into alloc_ordered_workqueue() and they shouldn't be affected once the audit and conversion is complete. One area where the behavior change may be more noticeable is workqueue_congested() as the reported congestion state is now per CPU instead of NUMA node. There are only two users of this interface - drivers/infiniband/hw/hfi1 and net/smc. Maintainers of both subsystems are cc'd. Inputs on the behavior change would be very much appreciated. Signed-off-by: Tejun Heo <tj@kernel.org> Acked-by: Dennis Dalessandro <dennis.dalessandro@cornelisnetworks.com> Cc: Jason Gunthorpe <jgg@ziepe.ca> Cc: Leon Romanovsky <leon@kernel.org> Cc: Karsten Graul <kgraul@linux.ibm.com> Cc: Wenjia Zhang <wenjia@linux.ibm.com> Cc: Jan Karcher <jaka@linux.ibm.com> |
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4cbfd3de73 |
workqueue: Call wq_update_unbound_numa() on all CPUs in NUMA node on CPU hotplug
When a CPU went online or offline, wq_update_unbound_numa() was called only on the CPU which was going up or down. This works fine because all CPUs on the same NUMA node share the same pool_workqueue slot - one CPU updating it updates it for everyone in the node. However, future changes will make each CPU use a separate pool_workqueue even when they're sharing the same worker_pool, which requires updating pool_workqueue's for all CPUs which may be sharing the same pool_workqueue on hotplug. To accommodate the planned changes, this patch updates workqueue_on/offline_cpu() so that they call wq_update_unbound_numa() for all CPUs sharing the same NUMA node as the CPU going up or down. In the current code, the second+ calls would be noops and there shouldn't be any behavior changes. * As wq_update_unbound_numa() is now called on multiple CPUs per each hotplug event, @cpu is renamed to @hotplug_cpu and another @cpu argument is added. The former indicates the CPU being hot[un]plugged and the latter the CPU whose pool_workqueue is being updated. * In wq_update_unbound_numa(), cpu_off is renamed to off_cpu for consistency with the new @hotplug_cpu. Signed-off-by: Tejun Heo <tj@kernel.org> |