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From: Gang Li <gang.li@linux.dev>
To: Tim Chen <tim.c.chen@linux.intel.com>
Cc: linux-mm@kvack.org, Andrew Morton <akpm@linux-foundation.org>,
	Mike Kravetz <mike.kravetz@oracle.com>,
	David Rientjes <rientjes@google.com>,
	linux-kernel@vger.kernel.org, ligang.bdlg@bytedance.com,
	David Hildenbrand <david@redhat.com>,
	Muchun Song <muchun.song@linux.dev>, Gang Li <gang.li@linux.dev>
Subject: Re: [PATCH v3 3/7] padata: dispatch works on different nodes
Date: Thu, 18 Jan 2024 14:15:24 +0800	[thread overview]
Message-ID: <1cfdf574-90cf-4143-b735-7b8354098e6d@linux.dev> (raw)
In-Reply-To: <cc135e4ba87bf64b384a529ccbd4c644bb135266.camel@linux.intel.com>

Hi Tim,

On 2024/1/18 06:14, Tim Chen wrote:
> On Mon, 2024-01-15 at 16:57 +0800, Gang Li wrote:
>> How about:
>> ```
>> nid = global_nid;
>> list_for_each_entry(pw, &works, pw_list)
>> 	if (job->numa_aware) {
>> 		int old_node = nid;
>> 		queue_work_node(nid, system_unbound_wq, &pw->pw_work);
>> 		nid = next_node(nid, node_states[N_CPU]);
>> 		cmpxchg(&global_nid, old_node, nid);



>> 	} else
>> 		queue_work(system_unbound_wq, &pw->pw_work);
>>
>> ```
>>

My original idea was to have all tasks from a single
padata_do_multithreaded distributed continuously across NUMA nodes.

In that case, the task distribution would be predictable for a single
padata_do_multithreaded call.

> 
> I am thinking something like
> 
> static volatile atomic_t last_used_nid;
> 
> 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));


However, having the tasks from all parallel padata_do_multithreaded
globally distributed across NUMA nodes is also fine by me.

I don't have a strong preference.

>   		queue_work_node(nid, system_unbound_wq, &pw->pw_work);		
>   	} else {
>   		queue_work(system_unbound_wq, &pw->pw_work);
> 	}
> 
> Note that we need to use next_node_in so we'll wrap around the node mask.
> 


  reply	other threads:[~2024-01-18  6:15 UTC|newest]

Thread overview: 31+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2024-01-02 13:12 [PATCH v3 0/7] hugetlb: parallelize hugetlb page init on boot Gang Li
2024-01-02 13:12 ` [PATCH v3 1/7] hugetlb: code clean for hugetlb_hstate_alloc_pages Gang Li
2024-01-10 10:19   ` Muchun Song
2024-01-11  3:30     ` Gang Li
2024-01-10 21:55   ` Tim Chen
2024-01-11  3:34     ` Gang Li
2024-01-02 13:12 ` [PATCH v3 2/7] hugetlb: split hugetlb_hstate_alloc_pages Gang Li
2024-01-10 23:12   ` Tim Chen
2024-01-11  3:44     ` Gang Li
2024-01-16  7:02   ` Muchun Song
2024-01-16  8:09     ` Gang Li
2024-01-02 13:12 ` [PATCH v3 3/7] padata: dispatch works on different nodes Gang Li
2024-01-11 17:50   ` Tim Chen
2024-01-12  7:09     ` Gang Li
2024-01-12 18:27       ` Tim Chen
2024-01-15  8:57         ` Gang Li
2024-01-17 22:14           ` Tim Chen
2024-01-18  6:15             ` Gang Li [this message]
2024-01-02 13:12 ` [PATCH v3 4/7] hugetlb: pass *next_nid_to_alloc directly to for_each_node_mask_to_alloc Gang Li
2024-01-03  1:32   ` David Rientjes
2024-01-03  2:22     ` Gang Li
2024-01-03  2:36       ` David Rientjes
2024-01-11 22:21   ` Tim Chen
2024-01-12  8:07     ` Gang Li
2024-01-02 13:12 ` [PATCH v3 5/7] hugetlb: have CONFIG_HUGETLBFS select CONFIG_PADATA Gang Li
2024-01-11 22:49   ` Tim Chen
2024-01-16  9:26   ` Muchun Song
2024-01-02 13:12 ` [PATCH v3 6/7] hugetlb: parallelize 2M hugetlb allocation and initialization Gang Li
2024-01-02 13:12 ` [PATCH v3 7/7] hugetlb: parallelize 1G hugetlb initialization Gang Li
2024-01-03  1:52 ` [PATCH v3 0/7] hugetlb: parallelize hugetlb page init on boot David Rientjes
2024-01-03  2:20   ` Gang Li

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