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该特性已进入主线，包含9个补丁，在v5.13-rc1合入：
a5aa5ce30059 smp: Inline on_each_cpu_cond() and on_each_cpu()
1608e4cf31b8 x86/mm/tlb: Remove unnecessary uses of the inline keyword
291c4011dd7a cpumask: Mark functions as pure
09c5272e4861 x86/mm/tlb: Do not make is_lazy dirty for no reason
2f4305b19fe6 x86/mm/tlb: Privatize cpu_tlbstate
4ce94eabac16 x86/mm/tlb: Flush remote and local TLBs concurrently
6035152d8eeb x86/mm/tlb: Open-code on_each_cpu_cond_mask() for tlb_is_not_lazy()
4c1ba3923e6c x86/mm/tlb: Unify flush_tlb_func_local() and flush_tlb_func_remote()
a32a4d8a815c smp: Run functions concurrently in smp_call_function_many_cond()

其中补丁：a32a4d8a815c smp: Run functions concurrently in smp_call_function_many_cond()
依赖前置补丁：545b8c8df41f smp: Cleanup smp_call_function*()
改前置补丁在 v5.11-rc1 合入主线。

本次合入补丁集包含原补丁集的9个补丁 + 1个前置补丁。

补丁：smp: Run functions concurrently in smp_call_function_many_cond() 修改了__call_single_data结构的定义，但是没用同步修改csd_lock_wait_getcpu()函数中相关的引用。这个问题主线meger合入主线时一并修改掉了（commit a787bdaff83a085288b6fc607afb4bb648da3cc9）

a787bdaff83a085288b6fc607afb4bb648da3cc9涉及到两处修改：

1. kernel/sched/core.c文件中的try_to_wake_up()

2. kernel/smp.c 文件中的csd_lock_wait_getcpu() （也就是上面提到的没有同步修改的位置）

因此，在OLK-5.10分支中，ec618b84f6e15281cc3660664d34cd0dd2f2579e需要同步引入，经过分析，第1）处修改已经在ec618b84f6e15281cc3660664d34cd0dd2f2579e中完成修改。因此只要完成第2）处的修改。

第2）处的修改这里我放到smp: Run functions concurrently in smp_call_function_many_cond()补丁上完成。

ae2b24908089 smp: Inline on_each_cpu_cond() and on_each_cpu()
82672cc0fe32 x86/mm/tlb: Remove unnecessary uses of the inline keyword
cbb279a55376 cpumask: Mark functions as pure
ee525ce35500 x86/mm/tlb: Do not make is_lazy dirty for no reason
5819c241f707 x86/mm/tlb: Privatize cpu_tlbstate
fcb63284ba29 x86/mm/tlb: Flush remote and local TLBs concurrently
4ffc0ff5a3a7 x86/mm/tlb: Open-code on_each_cpu_cond_mask() for tlb_is_not_lazy()
d8da76fc9c39 x86/mm/tlb: Unify flush_tlb_func_local() and flush_tlb_func_remote()
618bab373124 smp: Run functions concurrently in smp_call_function_many_cond()
4f9ed36f0984 smp: Cleanup smp_call_function*()