Commit eb522866 authored by Gang Li Subject: padata: dispatch works on's avatar Gang Li Subject: padata: dispatch works on Committed by Andrew Morton
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Author: Gang Li padata: dispatch works on

different nodes Date: Thu, 22 Feb 2024 22:04:17 +0800

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.

Link: https://lkml.kernel.org/r/20240222140422.393911-5-gang.li@linux.dev


Signed-off-by: default avatarGang Li <ligang.bdlg@bytedance.com>
Tested-by: default avatarDavid Rientjes <rientjes@google.com>
Reviewed-by: default avatarMuchun Song <muchun.song@linux.dev>
Reviewed-by: default avatarTim Chen <tim.c.chen@linux.intel.com>
Cc: Alexey Dobriyan <adobriyan@gmail.com>
Cc: Daniel Jordan <daniel.m.jordan@oracle.com>
Cc: David Hildenbrand <david@redhat.com>
Cc: Jane Chu <jane.chu@oracle.com>
Cc: Mike Kravetz <mike.kravetz@oracle.com>
Cc: Paul E. McKenney <paulmck@kernel.org>
Cc: Randy Dunlap <rdunlap@infradead.org>
Cc: Steffen Klassert <steffen.klassert@secunet.com>
Signed-off-by: default avatarAndrew Morton <akpm@linux-foundation.org>
parent 2e73ff23
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+2 −0
Original line number Diff line number Diff line
@@ -137,6 +137,7 @@ 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: Distribute jobs to different nodes with CPU in a round robin fashion.
 */
struct padata_mt_job {
	void (*thread_fn)(unsigned long start, unsigned long end, void *arg);
@@ -146,6 +147,7 @@ struct padata_mt_job {
	unsigned long		align;
	unsigned long		min_chunk;
	int			max_threads;
	bool			numa_aware;
};

/**
+12 −2
Original line number Diff line number Diff line
@@ -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 __initdata;

	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)
		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);
+1 −0
Original line number Diff line number Diff line
@@ -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);