From: Gang Li <gang.li@linux.dev>
To: David Hildenbrand <david@redhat.com>,
David Rientjes <rientjes@google.com>,
Mike Kravetz <mike.kravetz@oracle.com>,
Muchun Song <muchun.song@linux.dev>,
Andrew Morton <akpm@linux-foundation.org>
Cc: linux-mm@kvack.org, linux-kernel@vger.kernel.org,
ligang.bdlg@bytedance.com, Gang Li <gang.li@linux.dev>
Subject: [RFC PATCH v2 3/5] padata: dispatch works on different nodes
Date: Fri, 8 Dec 2023 10:52:38 +0800 [thread overview]
Message-ID: <20231208025240.4744-4-gang.li@linux.dev> (raw)
In-Reply-To: <20231208025240.4744-1-gang.li@linux.dev>
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>
---
include/linux/padata.h | 2 ++
kernel/padata.c | 8 ++++++--
mm/mm_init.c | 1 +
3 files changed, 9 insertions(+), 2 deletions(-)
diff --git a/include/linux/padata.h b/include/linux/padata.h
index 495b16b6b4d72..f6c58c30ed96a 100644
--- a/include/linux/padata.h
+++ b/include/linux/padata.h
@@ -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: Dispatch jobs to different nodes.
*/
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;
};
/**
diff --git a/kernel/padata.c b/kernel/padata.c
index 179fb1518070c..80f82c563e46a 100644
--- a/kernel/padata.c
+++ b/kernel/padata.c
@@ -485,7 +485,7 @@ 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;
if (job->size == 0)
return;
@@ -517,7 +517,11 @@ 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)
+ queue_work_node((++nid % num_node_state(N_MEMORY)),
+ 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 077bfe393b5e2..1226f0c81fcb3 100644
--- a/mm/mm_init.c
+++ b/mm/mm_init.c
@@ -2234,6 +2234,7 @@ 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);
--
2.30.2
next prev parent reply other threads:[~2023-12-08 2:53 UTC|newest]
Thread overview: 19+ messages / expand[flat|nested] mbox.gz Atom feed top
2023-12-08 2:52 [RFC PATCH v2 0/5] hugetlb: parallelize hugetlb page init on boot Gang Li
2023-12-08 2:52 ` [RFC PATCH v2 1/5] hugetlb: code clean for hugetlb_hstate_alloc_pages Gang Li
2023-12-08 2:52 ` [RFC PATCH v2 2/5] hugetlb: split hugetlb_hstate_alloc_pages Gang Li
2023-12-08 2:52 ` Gang Li [this message]
2023-12-12 23:40 ` [RFC PATCH v2 3/5] padata: dispatch works on different nodes Tim Chen
2023-12-18 6:46 ` Gang Li
2023-12-27 10:33 ` Gang Li
2023-12-08 2:52 ` [RFC PATCH v2 4/5] hugetlb: parallelize 2M hugetlb allocation and initialization Gang Li
2023-12-08 2:52 ` [RFC PATCH v2 5/5] hugetlb: parallelize 1G hugetlb initialization Gang Li
2023-12-08 2:56 ` [PATCH 1/1] hugetlb: add timing to hugetlb allocations on boot Gang Li
2023-12-12 20:06 ` [RFC PATCH v2 0/5] hugetlb: parallelize hugetlb page init " Mike Kravetz
2023-12-21 7:22 ` Gang Li
2023-12-12 22:14 ` David Rientjes
2023-12-12 23:08 ` Mike Kravetz
2023-12-13 0:10 ` David Rientjes
2023-12-18 6:34 ` Gang Li
2023-12-22 4:33 ` David Rientjes
2023-12-25 5:21 ` David Rientjes
2023-12-25 6:24 ` Gang Li
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