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服务器CPU内存性能测试
内存测试
STREAM为业界公认的内存性能测试工具,项目地址为http://www.cs.virginia.edu/stream/。 主要用于测试CPU访问内存的带宽,代码有C语言和FORTRAN语言两种版本.
访问http://www.cs.virginia.edu/stream/FTP/Code/ 网站,获取stream.c文件 编译, 编译参数仅供参数
gcc -O3 -fopenmp -DSTREAM_ARRAY_SIZE=100000000 -DNTIME=30 stream.c -o stream.o
为了避免单次执行的误差,建议执行3次以上
[root@node-23 tmp]# ./stream.o
-------------------------------------------------------------
STREAM version $Revision: 5.10 $
-------------------------------------------------------------
This system uses 8 bytes per array element.
-------------------------------------------------------------
Array size = 100000000 (elements), Offset = 0 (elements)
Memory per array = 762.9 MiB (= 0.7 GiB).
Total memory required = 2288.8 MiB (= 2.2 GiB).
Each kernel will be executed 10 times.
The *best* time for each kernel (excluding the first iteration)
will be used to compute the reported bandwidth.
-------------------------------------------------------------
Number of Threads requested = 64
Number of Threads counted = 64
-------------------------------------------------------------
Your clock granularity/precision appears to be 1 microseconds.
Each test below will take on the order of 102803 microseconds.
(= 102803 clock ticks)
Increase the size of the arrays if this shows that
you are not getting at least 20 clock ticks per test.
-------------------------------------------------------------
WARNING -- The above is only a rough guideline.
For best results, please be sure you know the
precision of your system timer.
-------------------------------------------------------------
Function Best Rate MB/s Avg time Min time Max time
Copy: 19724.2 0.099451 0.081119 0.125636
Scale: 39392.4 0.050777 0.040617 0.098748
Add: 50251.2 0.063932 0.047760 0.093933
Triad: 47744.2 0.122141 0.050268 0.607938
-------------------------------------------------------------
Solution Validates: avg error less than 1.000000e-13 on all three arrays
-------------------------------------------------------------
CPU测试
下载编译
wget https://s3.amazonaws.com/cloudbench/software/UnixBench5.1.3.tgz
tar -xvf UnixBench5.1.3.tgz
cd UnixBench/
make all
运行
./Run
对于多cpu系统的性能测试策略,需要统计单任务,多任务及其并行的性能增强。 以4个cpu的PC为例,需要测试两次,4个CPU就是要并行执行4个copies,
Run -q -c 1 -c 4
最后会在result目录下保存测试报告,比如下面这样.
参考
https://bbs.huaweicloud.com/forum/thread-5424-1-1.html https://cloud.tencent.com/developer/article/1198139