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.
>
next prev parent 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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