diff mbox series

[v5,6/7] hugetlb: parallelize 2M hugetlb allocation and initialization

Message ID 20240126152411.1238072-7-gang.li@linux.dev
State New
Headers
Series hugetlb: parallelize hugetlb page init on boot |

Commit Message

Gang Li Jan. 26, 2024, 3:24 p.m. UTC 
  By distributing both the allocation and the initialization tasks across
multiple threads, the initialization of 2M hugetlb will be faster,
thereby improving the boot speed.

Here are some test results:
      test case        no patch(ms)   patched(ms)   saved
 ------------------- -------------- ------------- --------
  256c2T(4 node) 2M           3336          1051   68.52%
  128c1T(2 node) 2M           1943           716   63.15%

Signed-off-by: Gang Li <ligang.bdlg@bytedance.com>
Tested-by: David Rientjes <rientjes@google.com>
---
 mm/hugetlb.c | 73 ++++++++++++++++++++++++++++++++++++++++------------
 1 file changed, 56 insertions(+), 17 deletions(-)

Comments

Muchun Song Jan. 29, 2024, 3:44 a.m. UTC | #1 
> On Jan 26, 2024, at 23:24, Gang Li <gang.li@linux.dev> wrote:
> 
> By distributing both the allocation and the initialization tasks across
> multiple threads, the initialization of 2M hugetlb will be faster,
> thereby improving the boot speed.
> 
> Here are some test results:
>      test case        no patch(ms)   patched(ms)   saved
> ------------------- -------------- ------------- --------
>  256c2T(4 node) 2M           3336          1051   68.52%
>  128c1T(2 node) 2M           1943           716   63.15%
> 
> Signed-off-by: Gang Li <ligang.bdlg@bytedance.com>
> Tested-by: David Rientjes <rientjes@google.com>

Reviewed-by: Muchun Song <muchun.song@linux.dev>

Thanks.
diff mbox series

Patch

diff --git a/mm/hugetlb.c b/mm/hugetlb.c
index e4e8ffa1c145a..385840397bce5 100644
--- a/mm/hugetlb.c
+++ b/mm/hugetlb.c
@@ -35,6 +35,7 @@ 
 #include <linux/delayacct.h>
 #include <linux/memory.h>
 #include <linux/mm_inline.h>
+#include <linux/padata.h>
 
 #include <asm/page.h>
 #include <asm/pgalloc.h>
@@ -3510,6 +3511,30 @@  static void __init hugetlb_hstate_alloc_pages_errcheck(unsigned long allocated,
 	}
 }
 
+static void __init hugetlb_pages_alloc_boot_node(unsigned long start, unsigned long end, void *arg)
+{
+	struct hstate *h = (struct hstate *)arg;
+	int i, num = end - start;
+	nodemask_t node_alloc_noretry;
+	LIST_HEAD(folio_list);
+	int next_node = first_online_node;
+
+	/* Bit mask controlling how hard we retry per-node allocations.*/
+	nodes_clear(node_alloc_noretry);
+
+	for (i = 0; i < num; ++i) {
+		struct folio *folio = alloc_pool_huge_folio(h, &node_states[N_MEMORY],
+						&node_alloc_noretry, &next_node);
+		if (!folio)
+			break;
+
+		list_move(&folio->lru, &folio_list);
+		cond_resched();
+	}
+
+	prep_and_add_allocated_folios(h, &folio_list);
+}
+
 static unsigned long __init hugetlb_gigantic_pages_alloc_boot(struct hstate *h)
 {
 	unsigned long i;
@@ -3525,26 +3550,40 @@  static unsigned long __init hugetlb_gigantic_pages_alloc_boot(struct hstate *h)
 
 static unsigned long __init hugetlb_pages_alloc_boot(struct hstate *h)
 {
-	unsigned long i;
-	struct folio *folio;
-	LIST_HEAD(folio_list);
-	nodemask_t node_alloc_noretry;
-
-	/* Bit mask controlling how hard we retry per-node allocations.*/
-	nodes_clear(node_alloc_noretry);
+	struct padata_mt_job job = {
+		.fn_arg		= h,
+		.align		= 1,
+		.numa_aware	= true
+	};
 
-	for (i = 0; i < h->max_huge_pages; ++i) {
-		folio = alloc_pool_huge_folio(h, &node_states[N_MEMORY],
-						&node_alloc_noretry);
-		if (!folio)
-			break;
-		list_add(&folio->lru, &folio_list);
-		cond_resched();
-	}
+	job.thread_fn	= hugetlb_pages_alloc_boot_node;
+	job.start	= 0;
+	job.size	= h->max_huge_pages;
 
-	prep_and_add_allocated_folios(h, &folio_list);
+	/*
+	 * job.max_threads is twice the num_node_state(N_MEMORY),
+	 *
+	 * Tests below indicate that a multiplier of 2 significantly improves
+	 * performance, and although larger values also provide improvements,
+	 * the gains are marginal.
+	 *
+	 * Therefore, choosing 2 as the multiplier strikes a good balance between
+	 * enhancing parallel processing capabilities and maintaining efficient
+	 * resource management.
+	 *
+	 * +------------+-------+-------+-------+-------+-------+
+	 * | multiplier |   1   |   2   |   3   |   4   |   5   |
+	 * +------------+-------+-------+-------+-------+-------+
+	 * | 256G 2node | 358ms | 215ms | 157ms | 134ms | 126ms |
+	 * | 2T   4node | 979ms | 679ms | 543ms | 489ms | 481ms |
+	 * | 50G  2node | 71ms  | 44ms  | 37ms  | 30ms  | 31ms  |
+	 * +------------+-------+-------+-------+-------+-------+
+	 */
+	job.max_threads	= num_node_state(N_MEMORY) * 2;
+	job.min_chunk	= h->max_huge_pages / num_node_state(N_MEMORY) / 2;
+	padata_do_multithreaded(&job);
 
-	return i;
+	return h->nr_huge_pages;
 }
 
 /*