[v4,3/7] padata: dispatch works on different nodes
Commit Message
When a group of tasks that access different nodes are scheduled on the
same node, they may encounter bandwidth bottlenecks and access latency.
Thus, numa_aware flag is introduced here, allowing tasks to be
distributed across different nodes to fully utilize the advantage of
multi-node systems.
Signed-off-by: Gang Li <gang.li@linux.dev>
Tested-by: David Rientjes <rientjes@google.com>
---
include/linux/padata.h | 3 +++
kernel/padata.c | 14 ++++++++++++--
mm/mm_init.c | 1 +
3 files changed, 16 insertions(+), 2 deletions(-)
Comments
On Thu, 2024-01-18 at 20:39 +0800, Gang Li wrote:
> When a group of tasks that access different nodes are scheduled on the
> same node, they may encounter bandwidth bottlenecks and access latency.
>
> Thus, numa_aware flag is introduced here, allowing tasks to be
> distributed across different nodes to fully utilize the advantage of
> multi-node systems.
>
> Signed-off-by: Gang Li <gang.li@linux.dev>
> Tested-by: David Rientjes <rientjes@google.com>
> ---
> include/linux/padata.h | 3 +++
> kernel/padata.c | 14 ++++++++++++--
> mm/mm_init.c | 1 +
> 3 files changed, 16 insertions(+), 2 deletions(-)
>
> diff --git a/include/linux/padata.h b/include/linux/padata.h
> index 495b16b6b4d7..f79ccd50e7f4 100644
> --- a/include/linux/padata.h
> +++ b/include/linux/padata.h
> @@ -137,6 +137,8 @@ struct padata_shell {
> * appropriate for one worker thread to do at once.
> * @max_threads: Max threads to use for the job, actual number may be less
> * depending on task size and minimum chunk size.
> + * @numa_aware: Dispatch jobs to different nodes. If a node only has memory but
> + * no CPU, dispatch its jobs to a random CPU.
Suggest:
Distribute jobs to different nodes with CPU in a round robin fashion.
> */
> struct padata_mt_job {
On 2024/1/18 20:39, Gang Li wrote:
> When a group of tasks that access different nodes are scheduled on the
> same node, they may encounter bandwidth bottlenecks and access latency.
>
> Thus, numa_aware flag is introduced here, allowing tasks to be
> distributed across different nodes to fully utilize the advantage of
> multi-node systems.
>
> Signed-off-by: Gang Li <gang.li@linux.dev>
> Tested-by: David Rientjes <rientjes@google.com>
> ---
> include/linux/padata.h | 3 +++
> kernel/padata.c | 14 ++++++++++++--
> mm/mm_init.c | 1 +
> 3 files changed, 16 insertions(+), 2 deletions(-)
>
> diff --git a/include/linux/padata.h b/include/linux/padata.h
> index 495b16b6b4d7..f79ccd50e7f4 100644
> --- a/include/linux/padata.h
> +++ b/include/linux/padata.h
> @@ -137,6 +137,8 @@ struct padata_shell {
> * appropriate for one worker thread to do at once.
> * @max_threads: Max threads to use for the job, actual number may be less
> * depending on task size and minimum chunk size.
> + * @numa_aware: Dispatch jobs to different nodes. If a node only has memory but
> + * no CPU, dispatch its jobs to a random CPU.
> */
> struct padata_mt_job {
> void (*thread_fn)(unsigned long start, unsigned long end, void *arg);
> @@ -146,6 +148,7 @@ struct padata_mt_job {
> unsigned long align;
> unsigned long min_chunk;
> int max_threads;
> + bool numa_aware;
> };
>
> /**
> diff --git a/kernel/padata.c b/kernel/padata.c
> index 179fb1518070..10eae3f59203 100644
> --- a/kernel/padata.c
> +++ b/kernel/padata.c
> @@ -485,7 +485,8 @@ void __init padata_do_multithreaded(struct padata_mt_job *job)
> struct padata_work my_work, *pw;
> struct padata_mt_job_state ps;
> LIST_HEAD(works);
> - int nworks;
> + int nworks, nid;
> + static atomic_t last_used_nid = ATOMIC_INIT(0);
last_used_nid is only used during boot time so it could be
__init_data. Otherwise, LGTM.
Reviewed-by: Muchun Song <muchun.song@linux.dev>
>
> if (job->size == 0)
> return;
> @@ -517,7 +518,16 @@ void __init padata_do_multithreaded(struct padata_mt_job *job)
> ps.chunk_size = roundup(ps.chunk_size, job->align);
>
> list_for_each_entry(pw, &works, pw_list)
> - queue_work(system_unbound_wq, &pw->pw_work);
> + if (job->numa_aware) {
> + int old_node = atomic_read(&last_used_nid);
> +
> + do {
> + nid = next_node_in(old_node, node_states[N_CPU]);
> + } while (!atomic_try_cmpxchg(&last_used_nid, &old_node, nid));
> + queue_work_node(nid, system_unbound_wq, &pw->pw_work);
> + } else {
> + queue_work(system_unbound_wq, &pw->pw_work);
> + }
>
> /* Use the current thread, which saves starting a workqueue worker. */
> padata_work_init(&my_work, padata_mt_helper, &ps, PADATA_WORK_ONSTACK);
> diff --git a/mm/mm_init.c b/mm/mm_init.c
> index 2c19f5515e36..549e76af8f82 100644
> --- a/mm/mm_init.c
> +++ b/mm/mm_init.c
> @@ -2231,6 +2231,7 @@ static int __init deferred_init_memmap(void *data)
> .align = PAGES_PER_SECTION,
> .min_chunk = PAGES_PER_SECTION,
> .max_threads = max_threads,
> + .numa_aware = false,
> };
>
> padata_do_multithreaded(&job);
On 2024/1/19 10:59, Muchun Song wrote:
> On 2024/1/18 20:39, Gang Li wrote:
>> --- a/kernel/padata.c
>> +++ b/kernel/padata.c
>> @@ -485,7 +485,8 @@ void __init padata_do_multithreaded(struct
>> padata_mt_job *job)
>> struct padata_work my_work, *pw;
>> struct padata_mt_job_state ps;
>> LIST_HEAD(works);
>> - int nworks;
>> + int nworks, nid;
>> + static atomic_t last_used_nid = ATOMIC_INIT(0);
> last_used_nid is only used during boot time so it could be
> __init_data. Otherwise, LGTM.
>
> Reviewed-by: Muchun Song <muchun.song@linux.dev>
>
OK, thanks.
On 2024/1/19 07:04, Tim Chen wrote:
> On Thu, 2024-01-18 at 20:39 +0800, Gang Li wrote:
>> When a group of tasks that access different nodes are scheduled on the
>> same node, they may encounter bandwidth bottlenecks and access latency.
>>
>> Thus, numa_aware flag is introduced here, allowing tasks to be
>> distributed across different nodes to fully utilize the advantage of
>> multi-node systems.
>>
>> Signed-off-by: Gang Li <gang.li@linux.dev>
>> Tested-by: David Rientjes <rientjes@google.com>
>> ---
>> include/linux/padata.h | 3 +++
>> kernel/padata.c | 14 ++++++++++++--
>> mm/mm_init.c | 1 +
>> 3 files changed, 16 insertions(+), 2 deletions(-)
>>
>> diff --git a/include/linux/padata.h b/include/linux/padata.h
>> index 495b16b6b4d7..f79ccd50e7f4 100644
>> --- a/include/linux/padata.h
>> +++ b/include/linux/padata.h
>> @@ -137,6 +137,8 @@ struct padata_shell {
>> * appropriate for one worker thread to do at once.
>> * @max_threads: Max threads to use for the job, actual number may be less
>> * depending on task size and minimum chunk size.
>> + * @numa_aware: Dispatch jobs to different nodes. If a node only has memory but
>> + * no CPU, dispatch its jobs to a random CPU.
>
> Suggest:
> Distribute jobs to different nodes with CPU in a round robin fashion.
>
Good idea.
Thanks.
>> */
>> struct padata_mt_job {
>
@@ -137,6 +137,8 @@ struct padata_shell {
* appropriate for one worker thread to do at once.
* @max_threads: Max threads to use for the job, actual number may be less
* depending on task size and minimum chunk size.
+ * @numa_aware: Dispatch jobs to different nodes. If a node only has memory but
+ * no CPU, dispatch its jobs to a random CPU.
*/
struct padata_mt_job {
void (*thread_fn)(unsigned long start, unsigned long end, void *arg);
@@ -146,6 +148,7 @@ struct padata_mt_job {
unsigned long align;
unsigned long min_chunk;
int max_threads;
+ bool numa_aware;
};
/**
@@ -485,7 +485,8 @@ void __init padata_do_multithreaded(struct padata_mt_job *job)
struct padata_work my_work, *pw;
struct padata_mt_job_state ps;
LIST_HEAD(works);
- int nworks;
+ int nworks, nid;
+ static atomic_t last_used_nid = ATOMIC_INIT(0);
if (job->size == 0)
return;
@@ -517,7 +518,16 @@ void __init padata_do_multithreaded(struct padata_mt_job *job)
ps.chunk_size = roundup(ps.chunk_size, job->align);
list_for_each_entry(pw, &works, pw_list)
- queue_work(system_unbound_wq, &pw->pw_work);
+ if (job->numa_aware) {
+ int old_node = atomic_read(&last_used_nid);
+
+ do {
+ nid = next_node_in(old_node, node_states[N_CPU]);
+ } while (!atomic_try_cmpxchg(&last_used_nid, &old_node, nid));
+ queue_work_node(nid, system_unbound_wq, &pw->pw_work);
+ } else {
+ queue_work(system_unbound_wq, &pw->pw_work);
+ }
/* Use the current thread, which saves starting a workqueue worker. */
padata_work_init(&my_work, padata_mt_helper, &ps, PADATA_WORK_ONSTACK);
@@ -2231,6 +2231,7 @@ static int __init deferred_init_memmap(void *data)
.align = PAGES_PER_SECTION,
.min_chunk = PAGES_PER_SECTION,
.max_threads = max_threads,
+ .numa_aware = false,
};
padata_do_multithreaded(&job);