!3064 mm: PCP high auto-tuning

Merge Pull Request from: @ci-robot 
 
PR sync from: Ze Zuo <zuoze1@huawei.com>
https://mailweb.openeuler.org/hyperkitty/list/kernel@openeuler.org/message/53JBDDN3LWQ7YXTD7DR3DIRQUP6IMN7Z/ 
The page allocation performance requirements of different workloads
are often different.  So, we need to tune the PCP (Per-CPU Pageset)
high on each CPU automatically to optimize the page allocation
performance.

The list of patches in series is as follows,

[1/9] mm, pcp: avoid to drain PCP when process exit
[2/9] cacheinfo: calculate per-CPU data cache size
[3/9] mm, pcp: reduce lock contention for draining high-order pages
[4/9] mm: restrict the pcp batch scale factor to avoid too long latency
[5/9] mm, page_alloc: scale the number of pages that are batch allocated
[6/9] mm: add framework for PCP high auto-tuning
[7/9] mm: tune PCP high automatically
[8/9] mm, pcp: decrease PCP high if free pages < high watermark
[9/9] mm, pcp: reduce detecting time of consecutive high order page freeing

Patch [1/9], [2/9], [3/9] optimize the PCP draining for consecutive
high-order pages freeing.

Patch [4/9], [5/9] optimize batch freeing and allocating.

Patch [6/9], [7/9], [8/9] implement and optimize a PCP high
auto-tuning method.

Patch [9/9] optimize the PCP draining for consecutive high order page
freeing based on PCP high auto-tuning.

Huang Ying (9):
  mm, pcp: avoid to drain PCP when process exit
  cacheinfo: calculate size of per-CPU data cache slice
  mm, pcp: reduce lock contention for draining high-order pages
  mm: restrict the pcp batch scale factor to avoid too long latency
  mm, page_alloc: scale the number of pages that are batch allocated
  mm: add framework for PCP high auto-tuning
  mm: tune PCP high automatically
  mm, pcp: decrease PCP high if free pages < high watermark
  mm, pcp: reduce detecting time of consecutive high order page freeing


-- 
2.25.1
 
https://gitee.com/openeuler/kernel/issues/I8JXIR 
 
Link:https://gitee.com/openeuler/kernel/pulls/3064

 

Reviewed-by: Kefeng Wang <wangkefeng.wang@huawei.com>
Signed-off-by: Zheng Zengkai <zhengzengkai@huawei.com>