2.5.58-mm1 with contest
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Contest (0.61pre) benchmark results for 2.5.58-mm1
no_load:
Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 78 96.2 0 0.0 1.00 2.5.56 3 79 96.2 0 0.0 1.00 2.5.57 3 79 96.2 0 0.0 1.00 2.5.58 2 79 96.2 0 0.0 1.00 2.5.58-mm1 4 79 96.2 0 0.0 1.00 cacherun: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 76 98.7 0 0.0 0.97 2.5.56 3 76 100.0 0 0.0 0.96 2.5.57 3 76 100.0 0 0.0 0.96 2.5.58 2 76 100.0 0 0.0 0.96 2.5.58-mm1 4 77 97.4 0 0.0 0.97 process_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 94 79.8 30 17.0 1.21 2.5.56 3 93 80.6 29 16.1 1.18 2.5.57 3 93 81.7 28 16.1 1.18 2.5.58 2 92 81.5 27 15.2 1.16 2.5.58-mm1 3 94 80.9 29 16.0 1.19 ctar_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 133 78.9 1 3.8 1.71 2.5.56 3 152 75.7 1 4.6 1.92 2.5.57 3 132 79.5 1 3.8 1.67 2.5.58 3 117 82.1 1 6.0 1.48 2.5.58-mm1 3 109 81.7 1 4.6 1.38 xtar_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 113 79.6 1 6.2 1.45 2.5.56 3 111 78.4 1 6.3 1.41 2.5.57 3 107 80.4 1 5.6 1.35 2.5.58 3 122 80.3 1 6.6 1.54 2.5.58-mm1 3 121 76.0 1 6.6 1.53 io_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 126 63.5 6 12.7 1.62 2.5.56 3 131 59.5 7 13.0 1.66 2.5.57 5 124 64.5 5 11.3 1.57 2.5.58 3 153 54.9 8 14.3 1.94 2.5.58-mm1 6 156 51.3 9 14.7 1.97 read_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 95 82.1 9 5.3 1.22 2.5.56 3 99 80.8 6 6.1 1.25 2.5.57 3 100 80.0 6 7.0 1.27 2.5.58 3 96 82.3 9 5.2 1.22 2.5.58-mm1 4 96 83.3 176189 6.2 1.22 list_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 91 84.6 0 8.8 1.17 2.5.56 3 91 84.6 0 8.8 1.15 2.5.57 3 91 84.6 0 8.8 1.15 2.5.58 3 91 85.7 0 8.8 1.15 2.5.58-mm1 2 92 83.7 0 9.8 1.16 mem_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 116 73.3 66 1.7 1.49 2.5.56 3 107 80.4 45 0.9 1.35 2.5.57 3 110 80.0 47 0.9 1.39 2.5.58 3 107 73.8 66 1.9 1.35 2.5.58-mm1 3 104 75.0 50 1.0 1.32 dbench_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 117 68.4 2 16.2 1.50 2.5.56 2 124 62.9 3 25.8 1.57 2.5.57 3 121 64.5 3 22.3 1.53 2.5.58 3 122 64.8 3 24.6 1.54 2.5.58-mm1 3 118 66.9 3 22.0 1.49
Only statistically significant diff b/w 2.5.58 and 2.5.58-mm1 is in ctar_load which is faster in mm1. Trend towards being faster in mem_load.
Con
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Quoted 46 lines · Con Kolivas
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Hash: SHA1Contest (0.61pre) benchmark results for 2.5.58-mm1
no_load:Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 78 96.2 0 0.0 1.00 2.5.56 3 79 96.2 0 0.0 1.00 2.5.57 3 79 96.2 0 0.0 1.00 2.5.58 2 79 96.2 0 0.0 1.00 2.5.58-mm1 4 79 96.2 0 0.0 1.00 cacherun: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 76 98.7 0 0.0 0.97 2.5.56 3 76 100.0 0 0.0 0.96 2.5.57 3 76 100.0 0 0.0 0.96 2.5.58 2 76 100.0 0 0.0 0.96 2.5.58-mm1 4 77 97.4 0 0.0 0.97 process_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 94 79.8 30 17.0 1.21 2.5.56 3 93 80.6 29 16.1 1.18 2.5.57 3 93 81.7 28 16.1 1.18 2.5.58 2 92 81.5 27 15.2 1.16 2.5.58-mm1 3 94 80.9 29 16.0 1.19 ctar_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 133 78.9 1 3.8 1.71 2.5.56 3 152 75.7 1 4.6 1.92 2.5.57 3 132 79.5 1 3.8 1.67 2.5.58 3 117 82.1 1 6.0 1.48 2.5.58-mm1 3 109 81.7 1 4.6 1.38 xtar_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 113 79.6 1 6.2 1.45 2.5.56 3 111 78.4 1 6.3 1.41 2.5.57 3 107 80.4 1 5.6 1.35 2.5.58 3 122 80.3 1 6.6 1.54 2.5.58-mm1 3 121 76.0 1 6.6 1.53 io_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 126 63.5 6 12.7 1.62 2.5.56 3 131 59.5 7 13.0 1.66 2.5.57 5 124 64.5 5 11.3 1.57 2.5.58 3 153 54.9 8 14.3 1.94
Quoted 9 lines
2.5.58-mm1 6 156 51.3 9 14.7 1.97 read_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 95 82.1 9 5.3 1.22 2.5.56 3 99 80.8 6 6.1 1.25 2.5.57 3 100 80.0 6 7.0 1.27 2.5.58 3 96 82.3 9 5.2 1.22 2.5.58-mm1 4 96 83.3 176189 6.2 1.22
Something seems to have gone wrong with "Loads".
Quoted 23 lines
list_load:Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 91 84.6 0 8.8 1.17 2.5.56 3 91 84.6 0 8.8 1.15 2.5.57 3 91 84.6 0 8.8 1.15 2.5.58 3 91 85.7 0 8.8 1.15 2.5.58-mm1 2 92 83.7 0 9.8 1.16 mem_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 116 73.3 66 1.7 1.49 2.5.56 3 107 80.4 45 0.9 1.35 2.5.57 3 110 80.0 47 0.9 1.39 2.5.58 3 107 73.8 66 1.9 1.35 2.5.58-mm1 3 104 75.0 50 1.0 1.32 dbench_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 117 68.4 2 16.2 1.50 2.5.56 2 124 62.9 3 25.8 1.57 2.5.57 3 121 64.5 3 22.3 1.53 2.5.58 3 122 64.8 3 24.6 1.54 2.5.58-mm1 3 118 66.9 3 22.0 1.49
Quoted 4 lines
Only statistically significant diff b/w 2.5.58 and 2.5.58-mm1 is in
ctar_loadwhich is faster in mm1. Trend towards being faster inmem_load.Con
Looks good, thanks.
Nick
Quoted 56 lines · Nick Piggin
Quoted 46 lines · Con Kolivas
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Hash: SHA1Contest (0.61pre) benchmark results for 2.5.58-mm1
no_load:Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 78 96.2 0 0.0 1.00 2.5.56 3 79 96.2 0 0.0 1.00 2.5.57 3 79 96.2 0 0.0 1.00 2.5.58 2 79 96.2 0 0.0 1.00 2.5.58-mm1 4 79 96.2 0 0.0 1.00 cacherun: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 76 98.7 0 0.0 0.97 2.5.56 3 76 100.0 0 0.0 0.96 2.5.57 3 76 100.0 0 0.0 0.96 2.5.58 2 76 100.0 0 0.0 0.96 2.5.58-mm1 4 77 97.4 0 0.0 0.97 process_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 2 94 79.8 30 17.0 1.21 2.5.56 3 93 80.6 29 16.1 1.18 2.5.57 3 93 81.7 28 16.1 1.18 2.5.58 2 92 81.5 27 15.2 1.16 2.5.58-mm1 3 94 80.9 29 16.0 1.19 ctar_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 133 78.9 1 3.8 1.71 2.5.56 3 152 75.7 1 4.6 1.92 2.5.57 3 132 79.5 1 3.8 1.67 2.5.58 3 117 82.1 1 6.0 1.48 2.5.58-mm1 3 109 81.7 1 4.6 1.38 xtar_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 113 79.6 1 6.2 1.45 2.5.56 3 111 78.4 1 6.3 1.41 2.5.57 3 107 80.4 1 5.6 1.35 2.5.58 3 122 80.3 1 6.6 1.54 2.5.58-mm1 3 121 76.0 1 6.6 1.53 io_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 126 63.5 6 12.7 1.62 2.5.56 3 131 59.5 7 13.0 1.66 2.5.57 5 124 64.5 5 11.3 1.57 2.5.58 3 153 54.9 8 14.3 1.94Quoted 8 lines
2.5.58-mm1 6 156 51.3 9 14.7 1.97 read_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 95 82.1 9 5.3 1.22 2.5.56 3 99 80.8 6 6.1 1.25 2.5.57 3 100 80.0 6 7.0 1.27 2.5.58 3 96 82.3 9 5.2 1.22 2.5.58-mm1 4 96 83.3 176189 6.2 1.22
Quoted 1 line
Something seems to have gone wrong with "Loads".
Thanks for the heads up. Must be falling asleep to miss that one. The run seems to have progressed ok but something died in the output (Aggelos?). After deleting that result (just in case) the results look like this:
2.5.58 3 96 82.3 9 5.2 1.22 2.5.58-mm1 3 100 81.0 6 6.0 1.27
Quoted 23 lines
Quoted 23 lines
list_load:Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 91 84.6 0 8.8 1.17 2.5.56 3 91 84.6 0 8.8 1.15 2.5.57 3 91 84.6 0 8.8 1.15 2.5.58 3 91 85.7 0 8.8 1.15 2.5.58-mm1 2 92 83.7 0 9.8 1.16 mem_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 116 73.3 66 1.7 1.49 2.5.56 3 107 80.4 45 0.9 1.35 2.5.57 3 110 80.0 47 0.9 1.39 2.5.58 3 107 73.8 66 1.9 1.35 2.5.58-mm1 3 104 75.0 50 1.0 1.32 dbench_load: Kernel [runs] Time CPU% Loads LCPU% Ratio 2.5.55 3 117 68.4 2 16.2 1.50 2.5.56 2 124 62.9 3 25.8 1.57 2.5.57 3 121 64.5 3 22.3 1.53 2.5.58 3 122 64.8 3 24.6 1.54 2.5.58-mm1 3 118 66.9 3 22.0 1.49
Quoted 6 lines
Quoted 4 lines
Only statistically significant diff b/w 2.5.58 and 2.5.58-mm1 is in
ctar_loadwhich is faster in mm1. Trend towards being faster inmem_load.Con
Looks good, thanks.
No problem.
Will have to keep an eye out on the code for more bugs. So far the contest code changeover is showing far less variability in the results (good job Aggelos!) which should make for more meaningful results.
Con