Commit 4611ce22 authored by Daniel Jordan's avatar Daniel Jordan Committed by Linus Torvalds

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 bfde23ce ("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.
Signed-off-by: default avatarDaniel Jordan <daniel.m.jordan@oracle.com>
Signed-off-by: default avatarAndrew Morton <akpm@linux-foundation.org>
Tested-by: default avatarJosh Triplett <josh@joshtriplett.org>
Cc: Alexander Duyck <alexander.h.duyck@linux.intel.com>
Cc: Alex Williamson <alex.williamson@redhat.com>
Cc: Dan Williams <dan.j.williams@intel.com>
Cc: Dave Hansen <dave.hansen@linux.intel.com>
Cc: David Hildenbrand <david@redhat.com>
Cc: Herbert Xu <herbert@gondor.apana.org.au>
Cc: Jason Gunthorpe <jgg@ziepe.ca>
Cc: Jonathan Corbet <corbet@lwn.net>
Cc: Kirill Tkhai <ktkhai@virtuozzo.com>
Cc: Michal Hocko <mhocko@kernel.org>
Cc: Pavel Machek <pavel@ucw.cz>
Cc: Pavel Tatashin <pasha.tatashin@soleen.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Randy Dunlap <rdunlap@infradead.org>
Cc: Robert Elliott <elliott@hpe.com>
Cc: Shile Zhang <shile.zhang@linux.alibaba.com>
Cc: Steffen Klassert <steffen.klassert@secunet.com>
Cc: Steven Sistare <steven.sistare@oracle.com>
Cc: Tejun Heo <tj@kernel.org>
Cc: Zi Yan <ziy@nvidia.com>
Link: http://lkml.kernel.org/r/20200527173608.2885243-4-daniel.m.jordan@oracle.comSigned-off-by: default avatarLinus Torvalds <torvalds@linux-foundation.org>
parent f1b192b1
......@@ -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;
......
......@@ -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 parallel_data *pd, unsigned int seq_nr)
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_shell *ps,
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_shell *ps,
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 work_struct *serial_work)
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 parallel_data *pd)
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_alloc_pd(struct padata_shell *ps)
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);
......@@ -1053,6 +1074,7 @@ EXPORT_SYMBOL(padata_free_shell);
void __init padata_init(void)
{
unsigned int i, possible_cpus;
#ifdef CONFIG_HOTPLUG_CPU
int ret;
......@@ -1064,13 +1086,27 @@ 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");
}
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