200万网格并行算力测试(OpenFOAM版本)
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好的,我重新再算一遍
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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。。。 -
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
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@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 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? -
@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
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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
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@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?
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@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
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@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
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@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?