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Last change
on this file since 454 was
116,
checked in by Maciej Komosinski, 11 years ago
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scripts useful to evaluate efficiency of parallel simulation/evolution and to analyze influence of parallelization parameters
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File size:
1.2 KB
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| [116] | 1 | script:
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| 2 | name:Multithreading efficiency test
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| 3 | help:Multithreading efficiency test
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| 4 | code:~
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| 5 | function main(complexify_geno,timeinterval,intervals)
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| 6 | {
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| 7 | // ExpParams.mix_period (percentage of the gene pool capacity) is kept at the default value (1000%)
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| 8 |
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| 9 | Math.randomize();
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| 10 | //Simulator.expdef="standard-mt"; //set multithreaded experiment; this is done by the shell script
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| 11 |
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| 12 | ExpParams.initialgen="XX[|,1:1][N,1:1,2:1][T][G]";
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| 13 | for(var i=0;i<complexify_geno;i++) //make a big genotype by doubling the simple one above. Note: exponential!
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| 14 | ExpParams.initialgen=ExpParams.initialgen+ExpParams.initialgen;
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| 15 |
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| 16 | Simulator.init();
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| 17 | //Simulator.print(GenePools[0][0].genotype); //ensure that the initialgen is in the gene pool - init() does this
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| 18 |
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| 19 | Simulator.start();
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| 20 | for(var iter=0;iter<intervals;iter++)
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| 21 | {
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| 22 | var t0=Math.time;
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| 23 | while (Math.time-t0<timeinterval && Simulator.running) Simulator.step();
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| 24 | Simulator.print("iter=%d, simsteps=%d, evals=%d, migrations=%d, gen_count=%d, avg_numparts=%g, fit_avg=%g, fit_max=%g" % iter % Simulator.time % ExpState.totaltests % ExpState.migrations % stats.gen_count % stats.st_avg_numparts % stats.st_avg_fit % stats.st_max_fit);
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| 25 | Simulator.print(GenePools[0].best().genotype);
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| 26 | }
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| 27 | Simulator.stop();
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| 28 | }
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| 29 | ~
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| 30 |
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