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homocomputeris's questions

Martin Hope
homocomputeris
Asked: 2020-02-19 05:16:18 +0800 CST
  • 1

Phoronix publicou uma comparação de 9 sistemas operacionais. Os três mais rápidos são:

  1. Limpar Linux 32310
  2. CentOS Stream (enquanto o rolamento Manjaro é o penúltimo)
  3. Estação de Trabalho Fedora 31

Quais são as razões básicas para tal diferença, especialmente, entre o CentOS e o Manjaro? Eles enviam kernels diferentes? Os pacotes do CentOS usam mais sinalizadores de otimização? Eles usam diferentes filas ou governadores de E/S por padrão?

distributions performance
Martin Hope
homocomputeris
Asked: 2018-02-08 07:12:17 +0800 CST
  • 0

Estou rodando algumas multiplicações de matrizes com NumPy e Python's 3 Pool multiprocessing em um servidor com 4 Intel Xeon E5-4620, totalizando 64 núcleos.

top no modo Solaris mostra (o):

top - 16:00:55 up 7 days, 16:42,  2 users,  load average: 292.74, 295.09, 297.44
Tasks: 704 total,   8 running, 696 sleeping,   0 stopped,   0 zombie
%Cpu(s): 76.6 us, 23.4 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
KiB Mem : 52830358+total, 52306323+free,  3022900 used,  2217456 buff/cache
KiB Swap:  6553596 total,  6553596 free,        0 used. 52376304+avail Mem 

PID USER      PR  NI    VIRT    RES    SHR S %CPU %MEM     TIME+ COMMAND
75266 splitti+  20   0 3050540 294912  10808 R 25.0  0.1  27649:20 python3
75264 splitti+  20   0 3050028 292448  10936 R 21.7  0.1  27750:10 python3
75286 splitti+  20   0 3006504 325704  10668 R 20.3  0.1  26831:30 python3
75598 splitti+  20   0 3006820 326264  11164 R 20.2  0.1  27221:56 python3
75288 splitti+  20   0 3006504 325696  10660 R 10.5  0.1  26351:29 python3
75265 splitti+  20   0 3050028 294292  10728 R  1.6  0.1  22889:05 python3
...

No modo Irix:

PID USER      PR  NI    VIRT    RES    SHR S  %CPU %MEM     TIME+ COMMAND    
75266 splitti+  20   0 3050028 292292  10808 R  1494  0.1  27712:54 python3    
75264 splitti+  20   0 3050540 295028  10936 R  1390  0.1  27803:50 python3    
75288 splitti+  20   0 3006504 325696  10660 R  1305  0.1  26395:29 python3    
75598 splitti+  20   0 3006820 326112  11164 R  1240  0.1  27275:08 python3    
75286 splitti+  20   0 3006504 325628  10668 R 752.6  0.1  26874:41 python3    
75265 splitti+  20   0 3050028 294292  10728 R 153.9  0.1  22893:03 python3
...

No modo por núcleo:

top - 16:03:40 up 7 days, 16:45,  2 users,  load average: 299.56, 297.12, 297.83
Tasks: 704 total,   8 running, 696 sleeping,   0 stopped,   0 zombie
%Cpu0  : 76.9 us, 23.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu1  : 71.9 us, 28.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu2  : 70.4 us, 29.6 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu3  : 74.6 us, 25.4 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu4  : 73.9 us, 26.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu5  : 79.9 us, 20.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu6  : 80.9 us, 19.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu7  : 78.9 us, 21.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu8  : 80.3 us, 19.7 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu9  : 78.9 us, 21.1 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
%Cpu10 : 80.2 us, 19.8 sy,  0.0 ni,  0.0 id,  0.0 wa,  0.0 hi,  0.0 si,  0.0 st
...

A pergunta: como esses valores estão conectados?

Se o top mostrar ~80% em uso por núcleo e 25% em modo Solaris por processo, onde 50% do uso de núcleo desaparece? Como esses 9 processos Python (colei apenas 6) usam todos os 64 núcleos?

top python