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>

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>

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>

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>

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>

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>

Lack of visibility has always been a pain point for workqueues. While the
recently added wq_monitor.py improved the situation, it's still difficult to
understand what worker pools are active in the system, how workqueues map to
them and why. The lack of visibility into how workqueues are configured is
going to become more noticeable as workqueue improves locality awareness and
provides more mechanisms to customize locality related behaviors.

Now that the basic framework for more flexible locality support is in place,
this is a good time to improve the situation. This patch adds
tools/workqueues/wq_dump.py which prints out the topology configuration,
worker pools and how workqueues are mapped to pools. Read the command's help
message for more details.

Signed-off-by: Tejun Heo <tj@kernel.org>

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>

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>

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

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>

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>

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>

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>

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>

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>

Currently, all per-cpu pwq's (pool_workqueue's) are allocated directly
through a per-cpu allocation and thus, unlike unbound workqueues, not
reference counted. This difference in lifetime management between the two
types is a bit confusing.

Unbound workqueues are currently accessed through wq->numa_pwq_tbl[] which
isn't suitiable for the planned CPU locality related improvements. The plan
is to unify pwq handling across per-cpu and unbound workqueues so that
they're always accessed through wq->cpu_pwq.

In preparation, this patch makes per-cpu pwq's to be allocated, reference
counted and released the same way as unbound pwq's. wq->cpu_pwq now holds
pointers to pwq's instead of containing them directly.

pwq_unbound_release_workfn() is renamed to pwq_release_workfn() as it's now
also used for per-cpu work items.

Signed-off-by: Tejun Heo <tj@kernel.org>

pool_workqueue release path is currently bounced to system_wq; however, this
is a bit tricky because this bouncing occurs while holding a pool lock and
thus has risk of causing a A-A deadlock. This is currently addressed by the
fact that only unbound workqueues use this bouncing path and system_wq is a
per-cpu workqueue.

While this works, it's brittle and requires a work-around like setting the
lockdep subclass for the lock of unbound pools. Besides, future changes will
use the bouncing path for per-cpu workqueues too making the current approach
unusable.

Let's just use a dedicated kthread_worker to untangle the dependency. This
is just one more kthread for all workqueues and makes the pwq release logic
simpler and more robust.

Signed-off-by: Tejun Heo <tj@kernel.org>

Unbound workqueue CPU affinity is going to receive an overhaul and the NUMA
specific knobs won't make sense anymore. Remove them. Also, the pool_ids
knob was used for debugging and not really meaningful given that there is no
visibility into the pools associated with those IDs. Remove it too. A future
patch will improve overall visibility.

Signed-off-by: Tejun Heo <tj@kernel.org>

Collect first_idle_worker(), worker_enter/leave_idle(),
find_worker_executing_work(), move_linked_works() and wake_up_worker() into
one place. These functions will later be used to implement higher level
worker management logic.

No functional changes.

Signed-off-by: Tejun Heo <tj@kernel.org>

wq->cpu_pwqs is a percpu variable carraying one pointer to a pool_workqueue.
The field name being plural is unusual and confusing. Rename it to singular.

This patch doesn't cause any functional changes.

Signed-off-by: Tejun Heo <tj@kernel.org>

insert_work() always tried to wake up a worker; however, the only time it
needs to try to wake up a worker is when a new active work item is queued.
When a work item goes on the inactive list or queueing a flush work item,
there's no reason to try to wake up a worker.

This patch moves the worker wakeup logic out of insert_work() and places it
in the active new work item queueing path in __queue_work().

While at it:

* __queue_work() is dereferencing pwq->pool repeatedly. Add local variable
  pool.

* Every caller of insert_work() calls debug_work_activate(). Consolidate the
  invocations into insert_work().

* In __queue_work() pool->watchdog_ts update is relocated slightly. This is
  to better accommodate future changes.

This makes wakeups more precise and will help the planned change to assign
work items to workers before waking them up. No behavior changes intended.

v2: WARN_ON_ONCE(pool != last_pool) added in __queue_work() to clarify as
    suggested by Lai.

Signed-off-by: Tejun Heo <tj@kernel.org>
Cc: Lai Jiangshan <jiangshanlai@gmail.com>

* Drop the trivial optimization in worker_thread() where it bypasses calling
  process_scheduled_works() if the first work item isn't linked. This is a
  mostly pointless micro optimization and gets in the way of improving the
  work processing path.

* Consolidate pool->watchdog_ts updates in the two callers into
  process_scheduled_works().

Signed-off-by: Tejun Heo <tj@kernel.org>

worker->flags used to be accessed from scheduler hooks without grabbing
pool->lock for concurrency management. This is no longer true since
6d25be57 ("sched/core, workqueues: Distangle worker accounting from rq
lock"). Also, it's unclear why worker_pool->flags was using the "X" rule.
All relevant users are accessing it under the pool lock.

Let's drop the special "X" rule and use the "L" rule for these flag fields
instead. While at it, replace the CONTEXT comment with
lockdep_assert_held().

This allows worker_set/clr_flags() to be used from context which isn't the
worker itself. This will be used later to implement assinging work items to
workers before waking them up so that workqueue can have better control over
which worker executes which work item on which CPU.

The only actual changes are sanity checks. There shouldn't be any visible
behavior changes.

Signed-off-by: Tejun Heo <tj@kernel.org>

Unbound workqueue execution locality improvement patchset is about to
applied which will cause merge conflicts with changes in for-6.5-fixes.
Let's avoid future merge conflict by pulling in for-6.5-fixes.

Signed-off-by: Tejun Heo <tj@kernel.org>

Use LIST_HEAD() to initialize cull_list instead of open-coding it.

Signed-off-by: Yang Yingliang <yangyingliang@huawei.com>
Reviewed-by: Lai Jiangshan <jiangshanlai@gmail.com>
Signed-off-by: Tejun Heo <tj@kernel.org>

wq_cpu_intensive_thresh_us is used to detect CPU-hogging per-cpu work items.
Once detected, they're excluded from concurrency management to prevent them
from blocking other per-cpu work items. If CONFIG_WQ_CPU_INTENSIVE_REPORT is
enabled, repeat offenders are also reported so that the code can be updated.

The default threshold is 10ms which is long enough to do fair bit of work on
modern CPUs while short enough to be usually not noticeable. This
unfortunately leads to a lot of, arguable spurious, detections on very slow
CPUs. Using the same threshold across CPUs whose performance levels may be
apart by multiple levels of magnitude doesn't make whole lot of sense.

This patch scales up wq_cpu_intensive_thresh_us upto 1 second when BogoMIPS
is below 4000. This is obviously very inaccurate but it doesn't have to be
accurate to be useful. The mechanism is still useful when the threshold is
fully scaled up and the benefits of reports are usually shared with everyone
regardless of who's reporting, so as long as there are sufficient number of
fast machines reporting, we don't lose much.

Some (or is it all?) ARM CPUs systemtically report significantly lower
BogoMIPS. While this doesn't break anything, given how widespread ARM CPUs
are, it's at least a missed opportunity and it probably would be a good idea
to teach workqueue about it.

Signed-off-by: Tejun Heo <tj@kernel.org>
Reported-and-Tested-by: Geert Uytterhoeven <geert@linux-m68k.org>

There exists no parameter called "cpu_intensive_threshold_us".
The actual parameter name is "cpu_intensive_thresh_us".

Fixes: 63638450 ("workqueue: Report work funcs that trigger automatic CPU_INTENSIVE mechanism")
Signed-off-by: Geert Uytterhoeven <geert+renesas@glider.be>
Reviewed-by: Randy Dunlap <rdunlap@infradead.org>
Signed-off-by: Tejun Heo <tj@kernel.org>

workqueue: add cmdline parameter `workqueue.unbound_cpus` to further constrain wq_unbound_cpumask at boot time

Motivation of doing this is to better improve boot times for devices when
we want to prevent our workqueue works from running on some specific CPUs,
e,g, some CPUs are busy with interrupts.

Signed-off-by: tiozhang <tiozhang@didiglobal.com>
Signed-off-by: Tejun Heo <tj@kernel.org>

Based on commit c4f135d6 ("workqueue: Wrap flush_workqueue() using
a macro"), all in-tree users stopped flushing system-wide workqueues.
Therefore, start emitting runtime message so that all out-of-tree users
will understand that they need to update their code.

Signed-off-by: Tetsuo Handa <penguin-kernel@I-love.SAKURA.ne.jp>
Signed-off-by: Tejun Heo <tj@kernel.org>

Pull watchdog update from Wim Van Sebroeck:

 - Add Loongson-1 watchdog dt-bindings

* tag 'linux-watchdog-6.5-rc2' of git://www.linux-watchdog.org/linux-watchdog:
  dt-bindings: watchdog: Add Loongson-1 watchdog

Pull crypto fixes from Herbert Xu:
 "Fix a couple of regressions in af_alg and incorrect return values in
 crypto/asymmetric_keys/public_key"

* tag 'v6.5-p2' of git://git.kernel.org/pub/scm/linux/kernel/git/herbert/crypto-2.6:
  crypto: algif_hash - Fix race between MORE and non-MORE sends
  KEYS: asymmetric: Fix error codes
  crypto: af_alg - Fix merging of written data into spliced pages

We just sorted the entries and fields last release, so just out of a
perverse sense of curiosity, I decided to see if we can keep things
ordered for even just one release.

The answer is "No. No we cannot".

I suggest that all kernel developers will need weekly training sessions,
involving a lot of Big Bird and Sesame Street.  And at the yearly
maintainer summit, we will all sing the alphabet song together.

I doubt I will keep doing this.  At some point "perverse sense of
curiosity" turns into just a cold dark place filled with sadness and
despair.

Repeats: 80e62bc8 ("MAINTAINERS: re-sort all entries and fields")
Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>

Pull dma-mapping fixes from Christoph Hellwig:

 - swiotlb area sizing fixes (Petr Tesarik)

* tag 'dma-mapping-6.5-2023-07-09' of git://git.infradead.org/users/hch/dma-mapping:
  swiotlb: reduce the number of areas to match actual memory pool size
  swiotlb: always set the number of areas before allocating the pool

Pull irq update from Borislav Petkov:

 - Optimize IRQ domain's name assignment

* tag 'irq_urgent_for_v6.5_rc1' of git://git.kernel.org/pub/scm/linux/kernel/git/tip/tip:
  irqdomain: Use return value of strreplace()

Pull x86 fpu fix from Borislav Petkov:

 - Do FPU AP initialization on Xen PV too which got missed by the recent
   boot reordering work

* tag 'x86_urgent_for_v6.5_rc1' of git://git.kernel.org/pub/scm/linux/kernel/git/tip/tip:
  x86/xen: Fix secondary processors' FPU initialization

Pull x86 fix from Thomas Gleixner:
 "A single fix for the mechanism to park CPUs with an INIT IPI.

  On shutdown or kexec, the kernel tries to park the non-boot CPUs with
  an INIT IPI. But the same code path is also used by the crash utility.
  If the CPU which panics is not the boot CPU then it sends an INIT IPI
  to the boot CPU which resets the machine.

  Prevent this by validating that the CPU which runs the stop mechanism
  is the boot CPU. If not, leave the other CPUs in HLT"

* tag 'x86-core-2023-07-09' of git://git.kernel.org/pub/scm/linux/kernel/git/tip/tip:
  x86/smp: Don't send INIT to boot CPU

Pull MIPS fixes from Thomas Bogendoerfer:

 - fixes for KVM

 - fix for loongson build and cpu probing

 - DT fixes

* tag 'mips_6.5_1' of git://git.kernel.org/pub/scm/linux/kernel/git/mips/linux:
  MIPS: kvm: Fix build error with KVM_MIPS_DEBUG_COP0_COUNTERS enabled
  MIPS: dts: add missing space before {
  MIPS: Loongson: Fix build error when make modules_install
  MIPS: KVM: Fix NULL pointer dereference
  MIPS: Loongson: Fix cpu_probe_loongson() again

Pull xfs fix from Darrick Wong:
 "Nothing exciting here, just getting rid of a gcc warning that I got
  tired of seeing when I turn on gcov"

* tag 'xfs-6.5-merge-6' of git://git.kernel.org/pub/scm/fs/xfs/xfs-linux:
  xfs: fix uninit warning in xfs_growfs_data