The patch titled
Subject: padata: allocate work structures for parallel jobs from a pool
has been added to the -mm tree. Its filename is
padata-allocate-work-structures-for-parallel-jobs-from-a-pool.patch
This patch should soon appear at
http://ozlabs.org/~akpm/mmots/broken-out/padata-allocate-work-structures-for-parallel-jobs-from-a-pool.patch
and later at
http://ozlabs.org/~akpm/mmotm/broken-out/padata-allocate-work-structures-for-parallel-jobs-from-a-pool.patch
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------------------------------------------------------
From: Daniel Jordan <daniel.m.jordan@xxxxxxxxxx>
Subject: padata: allocate work structures for parallel jobs from a pool
padata allocates per-CPU, per-instance work structs for parallel jobs. A
do_parallel call assigns a job to a sequence number and hashes the number
to a CPU, where the job will eventually run using the corresponding work.
This approach fit with how padata used to bind a job to each CPU
round-robin, makes less sense after commit bfde23ce200e6 ("padata: unbind
parallel jobs from specific CPUs") because a work isn't bound to a
particular CPU anymore, and isn't needed at all for multithreaded jobs
because they don't have sequence numbers.
Replace the per-CPU works with a preallocated pool, which allows sharing
them between existing padata users and the upcoming multithreaded user.
The pool will also facilitate setting NUMA-aware concurrency limits with
later users.
The pool is sized according to the number of possible CPUs. With this
limit, MAX_OBJ_NUM no longer makes sense, so remove it.
If the global pool is exhausted, a parallel job is run in the current task
instead to throttle a system trying to do too much in parallel.
Link: http://lkml.kernel.org/r/20200520182645.1658949-4-daniel.m.jordan@xxxxxxxxxx
Signed-off-by: Daniel Jordan <daniel.m.jordan@xxxxxxxxxx>
Cc: Alexander Duyck <alexander.h.duyck@xxxxxxxxxxxxxxx>
Cc: Alex Williamson <alex.williamson@xxxxxxxxxx>
Cc: Dan Williams <dan.j.williams@xxxxxxxxx>
Cc: Dave Hansen <dave.hansen@xxxxxxxxxxxxxxx>
Cc: David Hildenbrand <david@xxxxxxxxxx>
Cc: Herbert Xu <herbert@xxxxxxxxxxxxxxxxxxx>
Cc: Jason Gunthorpe <jgg@xxxxxxxx>
Cc: Jonathan Corbet <corbet@xxxxxxx>
Cc: Josh Triplett <josh@xxxxxxxxxxxxxxxx>
Cc: Kirill Tkhai <ktkhai@xxxxxxxxxxxxx>
Cc: Michal Hocko <mhocko@xxxxxxxxxx>
Cc: Pavel Machek <pavel@xxxxxx>
Cc: Pavel Tatashin <pasha.tatashin@xxxxxxxxxx>
Cc: Peter Zijlstra <peterz@xxxxxxxxxxxxx>
Cc: Randy Dunlap <rdunlap@xxxxxxxxxxxxx>
Cc: Robert Elliott <elliott@xxxxxxx>
Cc: Shile Zhang <shile.zhang@xxxxxxxxxxxxxxxxx>
Cc: Steffen Klassert <steffen.klassert@xxxxxxxxxxx>
Cc: Steven Sistare <steven.sistare@xxxxxxxxxx>
Cc: Tejun Heo <tj@xxxxxxxxxx>
Cc: Zi Yan <ziy@xxxxxxxxxx>
Signed-off-by: Andrew Morton <akpm@xxxxxxxxxxxxxxxxxxxx>
---
include/linux/padata.h | 8 --
kernel/padata.c | 118 +++++++++++++++++++++++++--------------
2 files changed, 78 insertions(+), 48 deletions(-)
--- a/include/linux/padata.h~padata-allocate-work-structures-for-parallel-jobs-from-a-pool
+++ a/include/linux/padata.h
@@ -24,7 +24,6 @@
* @list: List entry, to attach to the padata lists.
* @pd: Pointer to the internal control structure.
* @cb_cpu: Callback cpu for serializatioon.
- * @cpu: Cpu for parallelization.
* @seq_nr: Sequence number of the parallelized data object.
* @info: Used to pass information from the parallel to the serial function.
* @parallel: Parallel execution function.
@@ -34,7 +33,6 @@ struct padata_priv {
struct list_head list;
struct parallel_data *pd;
int cb_cpu;
- int cpu;
unsigned int seq_nr;
int info;
void (*parallel)(struct padata_priv *padata);
@@ -68,15 +66,11 @@ struct padata_serial_queue {
/**
* struct padata_parallel_queue - The percpu padata parallel queue
*
- * @parallel: List to wait for parallelization.
* @reorder: List to wait for reordering after parallel processing.
- * @work: work struct for parallelization.
* @num_obj: Number of objects that are processed by this cpu.
*/
struct padata_parallel_queue {
- struct padata_list parallel;
struct padata_list reorder;
- struct work_struct work;
atomic_t num_obj;
};
@@ -111,7 +105,7 @@ struct parallel_data {
struct padata_parallel_queue __percpu *pqueue;
struct padata_serial_queue __percpu *squeue;
atomic_t refcnt;
- atomic_t seq_nr;
+ unsigned int seq_nr;
unsigned int processed;
int cpu;
struct padata_cpumask cpumask;
--- a/kernel/padata.c~padata-allocate-work-structures-for-parallel-jobs-from-a-pool
+++ a/kernel/padata.c
@@ -32,7 +32,15 @@
#include <linux/sysfs.h>
#include <linux/rcupdate.h>
-#define MAX_OBJ_NUM 1000
+struct padata_work {
+ struct work_struct pw_work;
+ struct list_head pw_list; /* padata_free_works linkage */
+ void *pw_data;
+};
+
+static DEFINE_SPINLOCK(padata_works_lock);
+static struct padata_work *padata_works;
+static LIST_HEAD(padata_free_works);
static void padata_free_pd(struct parallel_data *pd);
@@ -58,30 +66,44 @@ static int padata_cpu_hash(struct parall
return padata_index_to_cpu(pd, cpu_index);
}
-static void padata_parallel_worker(struct work_struct *parallel_work)
+static struct padata_work *padata_work_alloc(void)
{
- struct padata_parallel_queue *pqueue;
- LIST_HEAD(local_list);
+ struct padata_work *pw;
- local_bh_disable();
- pqueue = container_of(parallel_work,
- struct padata_parallel_queue, work);
+ lockdep_assert_held(&padata_works_lock);
- spin_lock(&pqueue->parallel.lock);
- list_replace_init(&pqueue->parallel.list, &local_list);
- spin_unlock(&pqueue->parallel.lock);
+ if (list_empty(&padata_free_works))
+ return NULL; /* No more work items allowed to be queued. */
- while (!list_empty(&local_list)) {
- struct padata_priv *padata;
+ pw = list_first_entry(&padata_free_works, struct padata_work, pw_list);
+ list_del(&pw->pw_list);
+ return pw;
+}
- padata = list_entry(local_list.next,
- struct padata_priv, list);
+static void padata_work_init(struct padata_work *pw, work_func_t work_fn,
+ void *data)
+{
+ INIT_WORK(&pw->pw_work, work_fn);
+ pw->pw_data = data;
+}
- list_del_init(&padata->list);
+static void padata_work_free(struct padata_work *pw)
+{
+ lockdep_assert_held(&padata_works_lock);
+ list_add(&pw->pw_list, &padata_free_works);
+}
- padata->parallel(padata);
- }
+static void padata_parallel_worker(struct work_struct *parallel_work)
+{
+ struct padata_work *pw = container_of(parallel_work, struct padata_work,
+ pw_work);
+ struct padata_priv *padata = pw->pw_data;
+ local_bh_disable();
+ padata->parallel(padata);
+ spin_lock(&padata_works_lock);
+ padata_work_free(pw);
+ spin_unlock(&padata_works_lock);
local_bh_enable();
}
@@ -105,9 +127,9 @@ int padata_do_parallel(struct padata_she
struct padata_priv *padata, int *cb_cpu)
{
struct padata_instance *pinst = ps->pinst;
- int i, cpu, cpu_index, target_cpu, err;
- struct padata_parallel_queue *queue;
+ int i, cpu, cpu_index, err;
struct parallel_data *pd;
+ struct padata_work *pw;
rcu_read_lock_bh();
@@ -135,25 +157,25 @@ int padata_do_parallel(struct padata_she
if ((pinst->flags & PADATA_RESET))
goto out;
- if (atomic_read(&pd->refcnt) >= MAX_OBJ_NUM)
- goto out;
-
- err = 0;
atomic_inc(&pd->refcnt);
padata->pd = pd;
padata->cb_cpu = *cb_cpu;
- padata->seq_nr = atomic_inc_return(&pd->seq_nr);
- target_cpu = padata_cpu_hash(pd, padata->seq_nr);
- padata->cpu = target_cpu;
- queue = per_cpu_ptr(pd->pqueue, target_cpu);
-
- spin_lock(&queue->parallel.lock);
- list_add_tail(&padata->list, &queue->parallel.list);
- spin_unlock(&queue->parallel.lock);
+ rcu_read_unlock_bh();
- queue_work(pinst->parallel_wq, &queue->work);
+ spin_lock(&padata_works_lock);
+ padata->seq_nr = ++pd->seq_nr;
+ pw = padata_work_alloc();
+ spin_unlock(&padata_works_lock);
+ if (pw) {
+ padata_work_init(pw, padata_parallel_worker, padata);
+ queue_work(pinst->parallel_wq, &pw->pw_work);
+ } else {
+ /* Maximum works limit exceeded, run in the current task. */
+ padata->parallel(padata);
+ }
+ return 0;
out:
rcu_read_unlock_bh();
@@ -324,8 +346,9 @@ static void padata_serial_worker(struct
void padata_do_serial(struct padata_priv *padata)
{
struct parallel_data *pd = padata->pd;
+ int hashed_cpu = padata_cpu_hash(pd, padata->seq_nr);
struct padata_parallel_queue *pqueue = per_cpu_ptr(pd->pqueue,
- padata->cpu);
+ hashed_cpu);
struct padata_priv *cur;
spin_lock(&pqueue->reorder.lock);
@@ -416,8 +439,6 @@ static void padata_init_pqueues(struct p
pqueue = per_cpu_ptr(pd->pqueue, cpu);
__padata_list_init(&pqueue->reorder);
- __padata_list_init(&pqueue->parallel);
- INIT_WORK(&pqueue->work, padata_parallel_worker);
atomic_set(&pqueue->num_obj, 0);
}
}
@@ -451,7 +472,7 @@ static struct parallel_data *padata_allo
padata_init_pqueues(pd);
padata_init_squeues(pd);
- atomic_set(&pd->seq_nr, -1);
+ pd->seq_nr = -1;
atomic_set(&pd->refcnt, 1);
spin_lock_init(&pd->lock);
pd->cpu = cpumask_first(pd->cpumask.pcpu);
@@ -1051,6 +1072,7 @@ EXPORT_SYMBOL(padata_free_shell);
void __init padata_init(void)
{
+ unsigned int i, possible_cpus;
#ifdef CONFIG_HOTPLUG_CPU
int ret;
@@ -1062,13 +1084,27 @@ void __init padata_init(void)
ret = cpuhp_setup_state_multi(CPUHP_PADATA_DEAD, "padata:dead",
NULL, padata_cpu_dead);
- if (ret < 0) {
- cpuhp_remove_multi_state(hp_online);
- goto err;
- }
+ if (ret < 0)
+ goto remove_online_state;
+#endif
+
+ possible_cpus = num_possible_cpus();
+ padata_works = kmalloc_array(possible_cpus, sizeof(struct padata_work),
+ GFP_KERNEL);
+ if (!padata_works)
+ goto remove_dead_state;
+
+ for (i = 0; i < possible_cpus; ++i)
+ list_add(&padata_works[i].pw_list, &padata_free_works);
return;
+
+remove_dead_state:
+#ifdef CONFIG_HOTPLUG_CPU
+ cpuhp_remove_multi_state(CPUHP_PADATA_DEAD);
+remove_online_state:
+ cpuhp_remove_multi_state(hp_online);
err:
- pr_warn("padata: initialization failed\n");
#endif
+ pr_warn("padata: initialization failed\n");
}
_
Patches currently in -mm which might be from daniel.m.jordan@xxxxxxxxxx are
mm-call-touch_nmi_watchdog-on-max-order-boundaries-in-deferred-init.patch
padata-remove-exit-routine.patch
padata-initialize-earlier.patch
padata-allocate-work-structures-for-parallel-jobs-from-a-pool.patch
padata-add-basic-support-for-multithreaded-jobs.patch
mm-parallelize-deferred_init_memmap.patch
mm-make-deferred-inits-max-threads-arch-specific.patch
padata-document-multithreaded-jobs.patch
