200万网格并行算力测试（OpenFOAM版本）

[李东岳]

这是一个管道流动的qDNS算例，基于OpenFOAM。使用pisoFoam就可以运行。

如何测试CPU算力

1. 下载 https://www.jianguoyun.com/p/DeabU1wQ9s3ZBhjc7LgD 解压，放到任意的文件夹下

2. 打开Allrun文件，将其中的 for i in 4 2 1; do改成你的处理器数量，比如你的处理器是32核，就改成32 16 8 4 2 1，注意，上下有两处，都要改一下

3. 直接在终端输入./Allrun即可运行，什么都不用管了。终端不要关闭。

4. 看终端的结果，应该类似下图，其中的数字就是结果。

5. 回帖，告诉我你的CPU型号和数据，我整理在下表中

系统	CPU	1	2	4	8	16	32	48	64	128
真系统	7742	1370	717	337	205	128	103		62
真系统	8164 （机架式）	1249	611	338	153	111	64		48.9	51
真系统	2699-v4	1146	585	313	194	193	170		173
真系统	6376	3383	1981	800	407	305	180		164
真系统	7502	-	-	254	135	100	65		59
真系统	7542	1128	760	272	136	107	79		77
真系统	8175M	1124	573	312	167	132	87	76
真系统	7402	-	568	283	140	84	68	65
真系统	6258R	1091	541	303	150	133	89		87
真系统	6248R	1068	542	304	155	128	96	98
真系统	5218	1247	637	316	205	214	172
真系统	6133(user1)	1258	860	437	329	388	358
真系统	6133(user2)	1410	624	336	183	160	86
真系统	7282	1125	498	268	140	121	82
真系统	7302	1074	503	261	136	101	66
真系统	6130	1241	622	310	157	121	91
真系统	6240R	1245	659	378	240	244
真系统	2680V4	1240	661	328	185	156	138(28核)
真系统	2683V4	-	-	-	-	182	163
真系统	2680V3	1274	648	352	196	168
真系统	2630V3	1453	668	327	209	165
真系统	2680V2	1145	615	350	204	198
真系统	4110	1361	948	500	395	467
真系统	3900X	915	512	382	406
真系统	2620v4	1419	814	623	552
WSL2	3700X	817	474	424	391
WSL2	5950X	615	402	382	340
虚拟机	8400	1114	864	861	900
WSL	11900k	823	488	456	443
虚拟机	5820k	1117	691	542
虚拟机	8750H(user1)	1060	883	910
虚拟机	8750H(user2)	1380	1109	963
虚拟机	苹果M1	830	512	359
虚拟机	2500U	1310	894	877

云图

云图结果类似，结果曾经跟JCP一篇文章对比过，完全符合。更详细的关于算法的可参考 链接文本

[李东岳]

回帖范例：

CPU型号：5900k
系统：linux系统
OpenFOAM版本：OpenFOAM-7
16 400
8 442
4 542
2 691
1 1119

• 注意，一些处理器可能不是整数，那就这样也行：40 32 16 8 4 2 1，优先保障有32 16 8 4 2 1..

[maoyanjun_dut]

CPU型号：AMD 霄龙 7742
系统：linux系统
OpenFOAM版本：OpenFOAM-v1912
64 62.23
32 103.27
16 128.03
8 205.02
4 337.93
2 717.1 （不是最佳状态）
1 1370.22（不是最佳状态）

[李东岳]

@maoyanjun_dut 谢谢！

[maoyanjun_dut]

@东岳 持续关注中，排排队，看看哪个最能打

[merlinizlf]

CPU型号：i7-8750H
系统：虚拟机
OpenFOAM版本：OpenFOAM-6
4 920.13
2 1098.04
1 572.75

为什么单核的时候反而最快？

[玉玺]

CPU型号：Intel（R） Xeon (R) Gold 5218 （2）
系统：Linux系统
OpenFOAM版本: OpenFOAM-6
32    172.83
16    214
8     205.85
4     316.65
2     637.1
1     1247.31

[李东岳]

多谢各位，

@merlinizlf 你重新跑一下试试？或者你看看结果都正确不？

[merlinizlf]

好的，我重新再算一遍

[玉玺]

沾一沾大佬算例的福气

[merlinizlf]

CPU型号：i7-8750H
系统：虚拟机
OpenFOAM版本：OpenFOAM-6
4 910.12
2 883.78
1 1060.35

重新跑的结果，这次除了虚拟机什么都没运行。。。
希望能对统计有点用。。。

[李东岳]

这回结果看起来还好

[李东岳]

CPU型号：霄龙7302
系统：linux系统
OpenFOAM版本：OpenFOAM-7
32 66.5
16 101.16
8 135.76
4 260.99
2 503.16
1 1074.03

[战气凌霄]

CPU型号：E5-2680V3
系统：linux系统
OpenFOAM版本：OpenFOAM-8
16 168.45
8 196.13
4 352.66
2 648.47
1 1274.33

CPU型号：E5-2680V2
系统：linux系统
OpenFOAM版本：OpenFOAM-8
16 198.1
8 204.31
4 350.34
2 615.33
1 1145.8

[李东岳]

@战气凌霄 多谢

CPU型号：金牌6130
系统：linux系统
OpenFOAM版本：OpenFOAM-7
32 91.22
16 121.43
8 157.92
4 310.89
2 622.44
1 1241.62

[huningdong]

Intel(R) Xeon(R) Gold 6133 CPU @ 2.50GHz
MemTotal:       262566620 kB
CentOS Linux release 7.3.1611 (Core)
Using: OpenFOAM-6
40 86.58
32 86.77
16 160.35
8 183.99
4 336.65
2 624.18
1 1410.07

[李东岳]

多谢 @huningdong ，目前有2个6133的数据，你这个效果不错

[huningdong]

@东岳 在 200万网格管道流qDNS并行算力测试 中说：

多谢 @huningdong ，目前有2个6133的数据，你这个效果不错

不知道为什么 40和32 比较 完全就没什么差距呀
我再跑一下试试

[战气凌霄]

@东岳 是不是把内存配置也写上更容易比较？6133的结果看起来应该是内存条数量不一样

[huningdong]

@战气凌霄 在 200万网格管道流qDNS并行算力测试 中说：

@东岳 是不是把内存配置也写上更容易比较？6133的结果看起来应该是内存条数量不一样

会不会是内存通道的影响？
猜测 32和40 核心 比较结果 差别不大 是因为 32和用的通道数和40用的一样 所以 限制了计算性能的进一步提升？

[战气凌霄]

@huningdong 您的和另外一个6133的数据比起来，您的计算速度更快，可能是您把内存通道配满了吧？ 至于32核和40核的结果，我觉得确实有可能是因为内存带宽跑满了，不过也不排除进程多了后进程间通信拖累？
补充一下我的数据：

CPU型号：E5-2680V3，双路，8x8G DDR4-2133内存
系统：linux系统
OpenFOAM版本：OpenFOAM-8
24  139.36
16 168.45
8 196.13
4 352.66
2 648.47
1 1274.33

CPU型号：E5-2680V2，双路，8x8G DDR3-1600内存
系统：linux系统
OpenFOAM版本：OpenFOAM-8
20  180.27
16 198.1
8 204.31
4 350.34
2 615.33
1 1145.8

[kennyadapter]

CPU型号：E5-2699 v4
系统：linux
OpenFOAM版本：OpenFOAM-1906
44 173.99
32 170.82
16 193.78
8 194.74
4 313.11
2 585.66
1 1146.46

为什么我的44核心会更慢呢，东岳老师？我最近在算一个200w网格的overset算例，算了半个多月了，算的还是很慢，有什么更好的解决方法吗？@东岳

[李东岳]

@kennyadapter 我最近也发现有这个问题，主要在压力方程的求解器上，你看下你的44核与32核的每一步的压力方程迭代次数是否一致？

[曳尾鱼]

这个算例算了多少时间步?

[kennyadapter]

@东岳
这是我44核心的log文件的最后几个时间步：之前的迭代次数也差不多：

Time = 9.8

Courant Number mean: 0.733368 max: 1.27353
GAMG:  Solving for p, Initial residual = 0.0998056, Final residual = 0.00082233, No Iterations 6
time step continuity errors : sum local = 4.80691e-07, global = 1.99762e-20, cumulative = 1.59798e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000123775
GAMG:  Solving for p, Initial residual = 0.0809999, Final residual = 0.000584259, No Iterations 6
time step continuity errors : sum local = 3.45394e-07, global = 5.63939e-20, cumulative = 1.60362e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120435
GAMG:  Solving for p, Initial residual = 0.0189678, Final residual = 9.4483e-07, No Iterations 39
time step continuity errors : sum local = 5.51633e-10, global = 3.45318e-20, cumulative = 1.60707e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119638
ExecutionTime = 170.51 s  ClockTime = 171 s

Time = 9.9

Courant Number mean: 0.73339 max: 1.27886
GAMG:  Solving for p, Initial residual = 0.100098, Final residual = 0.000824461, No Iterations 6
time step continuity errors : sum local = 4.82558e-07, global = 8.66441e-20, cumulative = 1.61574e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000123823
GAMG:  Solving for p, Initial residual = 0.0809731, Final residual = 0.000577791, No Iterations 6
time step continuity errors : sum local = 3.42103e-07, global = 4.07868e-20, cumulative = 1.61981e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120471
GAMG:  Solving for p, Initial residual = 0.0189619, Final residual = 9.31189e-07, No Iterations 39
time step continuity errors : sum local = 5.44568e-10, global = 7.2382e-20, cumulative = 1.62705e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119674
ExecutionTime = 172.22 s  ClockTime = 172 s

Time = 10

Courant Number mean: 0.733413 max: 1.27933
GAMG:  Solving for p, Initial residual = 0.0999699, Final residual = 0.000818608, No Iterations 6
time step continuity errors : sum local = 4.79761e-07, global = 8.13808e-20, cumulative = 1.63519e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.00012387
GAMG:  Solving for p, Initial residual = 0.081007, Final residual = 0.000576888, No Iterations 6
time step continuity errors : sum local = 3.41793e-07, global = 5.45899e-20, cumulative = 1.64065e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120508
GAMG:  Solving for p, Initial residual = 0.0189675, Final residual = 9.02577e-07, No Iterations 39
time step continuity errors : sum local = 5.28191e-10, global = 1.77208e-20, cumulative = 1.64242e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.00011971
ExecutionTime = 173.99 s  ClockTime = 174 s

End

这是我32核心的：

Time = 9.8

Courant Number mean: 0.733369 max: 1.27363
GAMG:  Solving for p, Initial residual = 0.0998053, Final residual = 0.000728134, No Iterations 6
time step continuity errors : sum local = 4.26347e-07, global = 1.16708e-20, cumulative = 5.86486e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000123776
GAMG:  Solving for p, Initial residual = 0.0810209, Final residual = 0.00054928, No Iterations 6
time step continuity errors : sum local = 3.24835e-07, global = 4.55333e-20, cumulative = 5.9104e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120434
GAMG:  Solving for p, Initial residual = 0.0189497, Final residual = 8.88034e-07, No Iterations 38
time step continuity errors : sum local = 5.18253e-10, global = 2.24608e-20, cumulative = 5.93286e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119638
ExecutionTime = 167.35 s  ClockTime = 167 s

Time = 9.9

Courant Number mean: 0.73339 max: 1.27894
GAMG:  Solving for p, Initial residual = 0.100093, Final residual = 0.00073128, No Iterations 6
time step continuity errors : sum local = 4.28756e-07, global = 1.40838e-20, cumulative = 5.94694e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000123823
GAMG:  Solving for p, Initial residual = 0.0809929, Final residual = 0.000542798, No Iterations 6
time step continuity errors : sum local = 3.21522e-07, global = -2.66223e-20, cumulative = 5.92032e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120471
GAMG:  Solving for p, Initial residual = 0.0189464, Final residual = 8.9418e-07, No Iterations 38
time step continuity errors : sum local = 5.22767e-10, global = 2.26167e-20, cumulative = 5.94294e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119674
ExecutionTime = 169.06 s  ClockTime = 169 s

Time = 10

Courant Number mean: 0.733413 max: 1.27934
GAMG:  Solving for p, Initial residual = 0.0999826, Final residual = 0.000732193, No Iterations 6
time step continuity errors : sum local = 4.29802e-07, global = 1.57268e-20, cumulative = 5.95866e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.00012387
GAMG:  Solving for p, Initial residual = 0.0810305, Final residual = 0.00054485, No Iterations 6
time step continuity errors : sum local = 3.22957e-07, global = 2.11478e-20, cumulative = 5.97981e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120508
GAMG:  Solving for p, Initial residual = 0.0189583, Final residual = 8.97181e-07, No Iterations 38
time step continuity errors : sum local = 5.24979e-10, global = 2.66036e-20, cumulative = 6.00642e-18
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.00011971
ExecutionTime = 170.82 s  ClockTime = 171 s

End

[来瓶热阔落]

CPU型号：AMD-3900X
系统：Ubuntu18   32g 3000
OpenFOAM版本：OpenFOAM-7
8 406.12
4 382.44
2 512.83
1 915.2

为啥3900x 8核反而慢了

[李东岳]

@kennyadapter 你这个看起来就是带宽跟不上了
@来瓶热阔落 你看下你8核和4核的最开始时间步的log？类似这种，分别贴一下：

Time = 0.1

Courant Number mean: 0.733413 max: 1.27933
GAMG:  Solving for p, Initial residual = 0.0999699, Final residual = 0.000818608, No Iterations 6
time step continuity errors : sum local = 4.79761e-07, global = 8.13808e-20, cumulative = 1.63519e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.00012387
GAMG:  Solving for p, Initial residual = 0.081007, Final residual = 0.000576888, No Iterations 6
time step continuity errors : sum local = 3.41793e-07, global = 5.45899e-20, cumulative = 1.64065e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000120508
GAMG:  Solving for p, Initial residual = 0.0189675, Final residual = 9.02577e-07, No Iterations 39
time step continuity errors : sum local = 5.28191e-10, global = 1.77208e-20, cumulative = 1.64242e-17
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.00011971
ExecutionTime = 173.99 s  ClockTime = 174 s

[kennyadapter]

@东岳 在 200万网格管道流qDNS并行算力测试 中说：

东岳老师，那怎么调整带宽呢？有什么方法，或者需要更换什么配件吗？

[来瓶热阔落]

Time = 0.1

Courant Number mean: 0.731999 max: 1.22083
GAMG:  Solving for p, Initial residual = 0.629705, Final residual = 0.00421935, No Iterations 3
time step continuity errors : sum local = 7.82336e-06, global = -1.9955e-20, cumulative = -1.9955e-20
Pressure gradient source: uncorrected Ubar = 0.13349, pressure gradient = 0.000114208
GAMG:  Solving for p, Initial residual = 0.0563421, Final residual = 0.000354153, No Iterations 4
time step continuity errors : sum local = 9.75747e-07, global = 2.11991e-20, cumulative = 1.24408e-21
Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.000117378
GAMG:  Solving for p, Initial residual = 0.0152771, Final residual = 8.66768e-07, No Iterations 18
time step continuity errors : sum local = 2.28999e-09, global = -1.80834e-20, cumulative = -1.68393e-20
Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.00011696
ExecutionTime = 4.61 s  ClockTime = 5 s

Time = 0.2

Courant Number mean: 0.731698 max: 1.1641
GAMG:  Solving for p, Initial residual = 0.75843, Final residual = 0.00508023, No Iterations 3
time step continuity errors : sum local = 6.71701e-06, global = 1.79247e-12, cumulative = 1.79247e-12
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119141
GAMG:  Solving for p, Initial residual = 0.0716405, Final residual = 0.000689194, No Iterations 5
time step continuity errors : sum local = 5.93336e-07, global = 1.79247e-12, cumulative = 3.58494e-12
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000117204
GAMG:  Solving for p, Initial residual = 0.014621, Final residual = 9.75203e-07, No Iterations 25
time step continuity errors : sum local = 8.46786e-10, global = 1.79247e-12, cumulative = 5.37741e-12
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000116758
ExecutionTime = 9.1 s  ClockTime = 9 s

上面是4核，下面8核

Time = 0.1

Courant Number mean: 0.731999 max: 1.22083
GAMG:  Solving for p, Initial residual = 0.629703, Final residual = 0.00603973, No Iterations 3
time step continuity errors : sum local = 1.11982e-05, global = 8.06587e-21, cumulative = 8.06587e-21
Pressure gradient source: uncorrected Ubar = 0.13349, pressure gradient = 0.000114193
GAMG:  Solving for p, Initial residual = 0.0566187, Final residual = 0.00046644, No Iterations 4
time step continuity errors : sum local = 1.28491e-06, global = -2.9891e-20, cumulative = -2.18251e-20
Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.000117396
GAMG:  Solving for p, Initial residual = 0.0153571, Final residual = 7.70794e-07, No Iterations 20
time step continuity errors : sum local = 2.0346e-09, global = -1.94705e-20, cumulative = -4.12956e-20
Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.000116978
ExecutionTime = 5.64 s  ClockTime = 6 s

Time = 0.2

Courant Number mean: 0.731698 max: 1.16413
GAMG:  Solving for p, Initial residual = 0.75841, Final residual = 0.00736995, No Iterations 3
time step continuity errors : sum local = 9.74458e-06, global = 8.78067e-13, cumulative = 8.78067e-13
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119176
GAMG:  Solving for p, Initial residual = 0.073429, Final residual = 0.000652992, No Iterations 6
time step continuity errors : sum local = 5.62596e-07, global = 8.78067e-13, cumulative = 1.75613e-12
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000117203
GAMG:  Solving for p, Initial residual = 0.0147366, Final residual = 9.38466e-07, No Iterations 23
time step continuity errors : sum local = 8.14733e-10, global = 8.78067e-13, cumulative = 2.6342e-12
Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000116759
ExecutionTime = 11.02 s  ClockTime = 11 s

[bestucan]

CPU:  AMD Opteron(tm) Processor 6376
OS:   debian 10
OpenFOAM: 8

# cores   Wall time (s):
------------------------
64 164.29
32 180.06
16 305.33
8 407.37
4 800.44
2 1981.19
1 3383.18

CPU: Intel(R) Xeon(R) Platinum 8175M
OS:  ubuntu 18.04
OpenFOAM: 8
# cores   Wall time (s):
------------------------
48 77.08
24 99.2
12 123.14
6 234.82
3 366.02
1 1149.63

CPU: Intel(R) Xeon(R) E5-2683
OS:  ubuntu 14.04
OpenFOAM: 8
# cores   Wall time (s):
------------------------
28 224.8
14 214.99
8 246.61
4 383.36
2 721.88
1 1361

[李东岳]

@bestucan 8175这个可以按照12468163248这个跑一遍不 跟我那个表格里面对不上不好放进去

[bestucan]

@东岳 好的，我回去后就试

[bestucan]

@东岳

CPU: Intel(R) Xeon(R) Platinum 8175M
OS:  ubuntu 18.04
OpenFOAM: 8

# cores   Wall time (s):
------------------------
48 76.67
32 87
16 132.63
8 167.32
6 234.28
4 312.67
2 573.06
1 1124.36

[李东岳]

@bestucan 已更新 数据挺好的

[李东岳]

@来瓶热阔落 我最近在测试也发现了这个问题 你换PCG算压力方程试试？但这样跟别的就没有可比性了。但可以看看结果。

一些CPU确实存在这个问题，目前我没有解决办法，只能加在CPU黑名单里

[ustbwenwu]

CPU: EPYC 7402 x 2
OS:  ubuntu 18.04
OpenFOAM 7

# cores   Wall time (s):
------------------------
48 65.01
32 68.3
16 84.09
8 140.9
4 283.94
2 568.89

[ustbwenwu]

@东岳

[李东岳]

@ustbwenwu 多谢，已更新

[TINGHAIK]

win10_bash ubuntu18.04
CPU:  i7-9750H
RAM: 16G 
OpenFOAM-6
# cores   Wall time (s):
------------------------
8 842.92
4 838.84
2 846.9
1 1414.95

感觉有问题啊

[星星星星晴]

心血来潮测一下服务器 为什么会有这样的error 提示？ of41能做么

Reading/calculating face flux field phi

Selecting incompressible transport model Newtonian
Selecting turbulence model type laminar
No MRF models present

Creating finite volume options from "constant/fvOptions"

Selecting finite volume options model type meanVelocityForce
[0] 
[0] 
[0] --> FOAM FATAL IO ERROR: 
[0] keyword meanVelocityForceCoeffs is undefined in dictionary "/home/local.njord/maosui/benchMark/core_8/constant/fvOptions.momentumSource"
[0] 
[0] file: /home/local.njord/maosui/benchMark/core_8/constant/fvOptions.momentumSource from line 20 to line 25.
[0] 
[0]     From function const Foam::dictionary& Foam::dictionary::subDict(const Foam::word&) const
[0]     in file db/dictionary/dictionary.C at line 642.
[0] [2] 
[2] 
[2] --> FOAM FATAL IO ERROR: 
[2] keyword meanVelocityForceCoeffs is undefined in dictionary "IOstream.momentumSource"
[2] 

[星星星星晴]

ubuntu18.04
CPU: AMD EPYC 7282 16-Core Processor*2
RAM: 252G 
OpenFOAM-4.1
# cores   Wall time (s):
------------------------
32 82.4
16 121.69
8 140.26
4 268.85
2 498.06
1 1125.41

[李东岳]

感谢大家 已更新主表

[李东岳]

@TINGHAIK 虚拟机的都特别慢 bash的应该也会受影响

[jowong]

CPU型号：i7-7700
系统：linux系统
OpenFOAM版本：OpenFOAM-8

4 594.83
2 666.07
1 956.33

[Fu]

CPU型号： Intel(R) Xeon(R) Gold 6248R
系统：ubuntu 18.04
版本：openfoam-8

48 98.12
32 96.14
16 128.01
8 155.18
4 304.95
2 542.82
1 1068.49

没关超线程，物理核48 感觉不合理啊哈哈 明天再弄一次

[cfd_xfx]

中午在服务器上测试了一下这个算例，发现算例受核间通信的影响确实很大，在核心数较高时计算时长的收益很小甚至负收益==
以及8164是老cpu了吧，单核计算能力捉急。。

CPU型号： Intel(R) Xeon(R) Platinum 8164 CPU @ 2GHz （8）
系统：    Ubuntu 18.04.5 LTS
内存：  791160068 kB
OpenFOAM版本：OpenFOAM-6

192 149.49
128 51.77
64 48.97
32 64.36
16 111.44
8 153.07
4 338.46
2 611.9
1 1249.7```

[李东岳]

8164也不算特别老啊，你这个几个节点？

[cfd_xfx]

@李东岳 是一个8路服务器，一共208颗物理核心

[Fu]

CPU型号： Intel(R) Xeon(R) Gold 6248R
系统：ubuntu 18.04
版本：openfoam-8

48 86.08
32 93.05
16 125.13
8 153.34
4 287.14
2 524.41
1 1013.26

正常了。。。

[huiCfd]

CPU型号： Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
系统：Linux mint 19.3
版本：openfoam-6

# cores   Wall time (s):
------------------------
8 552.63
4 623.67
2 814.52
1 1419.05