centos – 广泛使用RAM时服务器计算速度减慢

yum install numad
systemctl enable numad
systemctl start numad

numad应该能够自动处理记忆位置.像进程这样的情况在第一个NUMA节点的cpu上运行,但它的数据在第二个NUMA节点的本地RAM中,不应再发生(除非所需内存量大于单个NUMA节点本地RAM的容量).

我还建议使用配置文件配置调优服务,这与您的使用方案最匹配.您必须测量差异并选择最佳(或者您可以创建一些自定义).

也许我已经找到了节点上奇怪行为的原因.我搜索了mpirun并找到了手册页：

https://www.open-mpi.org/doc/current/man1/mpirun.1.php

写道：

Quick Summary

If you are simply looking for how to run an MPI application,you probably want to use a command line of the following form:
% mpirun [ -np X ] [ –hostfile ]
This will run X copies of in your current run-time environment (if running under a supported resource manager,Open MPI’s mpirun will usually automatically use the corresponding resource manager process starter,as opposed to,for example,rsh or ssh,which require the use of a hostfile,or will default to running all X copies on the localhost),scheduling (by default) in a round-robin fashion by cpu slot. See the rest of this page for more details.

Please note that mpirun automatically binds processes as of the start of the v1.8 series. Three binding patterns are used in the absence of any further directives:

Bind to core:
when the number of processes is <= 2

Bind to socket:
when the number of processes is > 2

Bind to none:
when oversubscribed

If your application uses threads,then you probably want to ensure that you are either not bound at all (by specifying –bind-to none),or bound to multiple cores using an appropriate binding level or specific number of processing elements per application process.

在n = 22的情况下,没有应用绑定,可以重新定位线程.您可以尝试外部cpu绑定(与任务集一样).你必须做实验.