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Here is a set of contest (http://contest.kolivas.net) benchmarks for
2.4.19-rmap15
noload:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [5] 71.7 93 0 0 0.99
2.4.19 [5] 69.0 97 0 0 0.95
2.4.19-rmap15 [3] 73.1 92 0 0 1.01
cacherun:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [2] 66.6 99 0 0 0.92
2.4.19 [2] 68.0 99 0 0 0.94
2.4.19-rmap15 [3] 67.7 99 0 0 0.94
process_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 109.5 57 119 44 1.51
2.4.19 [3] 106.5 59 112 43 1.47
2.4.19-rmap15 [3] 112.7 56 123 44 1.56
Marginally slower here.
ctar_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 117.4 63 1 7 1.62
2.4.19 [2] 106.5 70 1 8 1.47
2.4.19-rmap15 [3] 98.4 77 1 6 1.36
First significant difference. Notably faster while creating tars.
xtar_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 150.8 49 2 8 2.09
2.4.19 [1] 132.4 55 2 9 1.83
2.4.19-rmap15 [3] 130.2 55 1 19 1.80
io_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 474.1 15 36 10 6.56
2.4.19 [3] 492.6 14 38 10 6.81
2.4.19-rmap15 [3] 222.9 33 13 9 3.08
Well this is nice. io_load is the most felt of the slowdowns and rmap manages
to blunt the effect io load has (note io load uses quite a bit of ram to do
the io load).
read_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 102.3 70 6 3 1.41
2.4.19 [2] 134.1 54 14 5 1.85
2.4.19-rmap15 [3] 129.5 56 20 5 1.79
list_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 90.2 76 1 17 1.25
2.4.19 [1] 89.8 77 1 20 1.24
2.4.19-rmap15 [3] 90.4 76 0 12 1.25
mem_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio
2.4.18 [3] 103.3 70 32 3 1.43
2.4.19 [3] 100.0 72 33 3 1.38
2.4.19-rmap15 [3] 105.3 72 37 5 1.46
Note that while mem_load is marginally slower with rmap, the machine was in a
much more usable state after running the mem_load. Much less was coming back
from swap upon using it after the benchmark, and contest cant show this
effect.
Looking good Rik.
Con
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This archive was generated by hypermail 2b29 : Sat Nov 23 2002 - 22:00:42 EST