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Generator,Number of Failed Tests,Failed Tests
pcgReal,0,
tensorflowReal,0,
MRG32k3aReal,0,
wellReal,2,"80 LinearComp, 81 LinearComp,"
numpyReal,0,
mtReal,2,"80 LinearComp, 81 LinearComp,"
numpyPhiloxReal,1,"21 BirthdaySpacings,"
pythonReal,2,"80 LinearComp, 81 LinearComp,"
numpyMtReal,2,"80 LinearComp, 81 LinearComp,"
Generator,Real time (s),Real time variance,User time (s),User time variance,Difference (Real - User time),Energy consumption (J/min),Energy consumption during real time (J)
mrg32k3aO2,31.46596666666667,0.49491024022988495,31.462766666666667,0.4947381160919544,0.0032000000000032003,2750.7950000000005,1442.6070629472226
mrg32k3aO3,19.965866666666674,0.2272254988505746,19.964000000000002,0.2270607586206895,0.0018666666666717902,3000.865,998.5811745777781
mrg32k3aR,43.1265,0.20636770689655226,43.12336666666667,0.206296791954023,0.003133333333330768,2783.585,2000.7713083750002
mt19937arO2,4.503133333333334,0.21657274022988496,4.501466666666667,0.21569949885057468,0.0016666666666669272,3179.1649999999995,238.60339806111114
mt19937arO3,4.197433333333333,0.15405777126436782,4.195966666666667,0.15353389540229886,0.001466666666665617,3226.824999999999,225.7397135972221
mt19937arR,7.4846,0.23828914482758615,7.482766666666666,0.237718116091954,0.0018333333333346857,3186.49,397.49338423333336
numpyMt_numpyMtRandomGenerationAtOnce,13.082566666666668,18.089264460919544,7.268966666666667,0.09162589540229887,5.813600000000002,4358.065,950.2445983361112
numpyMt_numpyMtRandomGenerationOneByOne,319.89383333333325,26.484203660919537,320.8309,26.49299429999996,-0.9370666666667375,37375.55172413793,199270.1418997126
numpyPhilox_numpyPhiloxRandomGenerationAtOnce,13.255833333333332,3.4810100057471263,12.000133333333336,0.0920814988505747,1.2556999999999956,5033.005,1111.9445907638888
numpyPhilox_numpyPhiloxRandomGenerationOneByOne,323.06210000000004,24.89505278275862,323.9827333333333,24.71960661609191,-0.9206333333332282,37590.444827586194,202400.8007655689
numpyR_numpyRandomGenerationAtOnce,5.773,8.520403655172414,5.754666666666666,8.441070505747126,0.018333333333333535,5906.645,568.3176930833333
numpyR_numpyRandomGenerationOneByOne,330.97513333333336,162.89779818850576,331.8779333333333,162.6530534436781,-0.9027999999999565,5935.288965517241,32740.55094556552
numpyTaskset_numpyTasksetRandomGenerationAtOnce,4.354899999999999,0.008284920689655164,3.562033333333334,0.01548003333333333,0.792866666666665,4550.28,330.2669061999999
pcg64O2,11.073166666666669,0.19433441954022995,11.071966666666667,0.19419824022988502,0.0012000000000025324,3925.1749999999993,724.4019495138889
pcg64O3,10.9984,0.22081838620689676,10.996300000000003,0.2202073896551725,0.002099999999996882,3882.5499999999997,711.6972986666666
pcg64R,13.180333333333333,0.12721698850574706,13.179233333333334,0.12687735747126433,0.0010999999999992127,4473.06724137931,982.6086210632183
pythonR_pythonRandomGenerationAtOnce,75.4612,90.25866609655172,48.47893333333333,12.18376565057471,26.982266666666675,6521.71,8202.267710866668
pythonR_pythonRandomGenerationOneByOne,36.86926666666667,3.180715719540231,36.8575,3.182281913793104,0.011766666666666481,3865.7082758620686,2375.4304879716474
pythonTaskset_pythonTasksetRandomGenerationAtOnce,69.5241,2.023144575862068,43.88626666666667,0.41396227126436735,25.637833333333333,3994.8950000000004,4629.024657825001
pytorchR_pytorchRandomGenerationAtOnce,6.9013,0.16385980344827578,7.010666666666667,0.09930485057471261,-0.10936666666666728,7141.5,821.4272325
pytorchR_pytorchRandomGenerationOneByOne,2388.4092333333333,385.8636750126419,2388.8528666666666,388.14882956781724,-0.44363333333330957,5630.9,224148.22586627776
pytorchTaskset_pytorchTasksetRandomGenerationAtOnce,6.020233333333334,0.056457771264367844,5.3053,0.02500014827586207,0.7149333333333345,4348.024137931035,436.26866415517253
tensorflowR_tensorflowRandomGenerationAtOnce,3.3758,0.06826740689655171,32.3289,1.463164851724137,-28.9531,5131.120000000001,288.69391493333336
tensorflowTaskset_tensorflowTasksetRandomGenerationAtOnce,8.180733333333333,0.02550523678160922,6.674499999999998,0.01418743103448277,1.5062333333333342,4762.630000000001,649.3634332555557
well19937O2a,4.974933333333334,0.1644335126436781,4.9732666666666665,0.16416151264367818,0.0016666666666678154,2979.4150000000004,247.03984995555564
well19937O3a,4.963066666666665,0.10090089195402302,4.9612,0.10049961379310347,0.001866666666665573,2991.035,247.41176845555546
well19937aR,13.082866666666668,0.00039618850574712724,13.080633333333333,0.00042961954022987576,0.0022333333333346417,3040.6600000000003,663.0091559777778
Generator,Real time (s),Real time variance,Real time 95% CI,User time (s),User time variance,User time 95% CI,Difference (Real - User time),Energy consumption (J/min),Energy consumption 95% CI,Energy consumption during real time (J),Energy consumption during real time 95% CI
mrg32k3aO2,31.466,0.4949,[31.21; 31.72],31.4628,0.4947,[31.21; 31.71],0.0032,2750.795,[2744.56; 2757.03],1442.6071,[1439.33; 1445.88]
mrg32k3aR,43.1265,0.2064,[42.96; 43.29],43.1234,0.2063,[42.96; 43.29],0.0031,2783.585,[2744.86; 2822.31],2000.7713,[1972.93; 2028.61]
well19937O2a,4.9749,0.1644,[4.83; 5.12],4.9733,0.1642,[4.83; 5.12],0.0017,2979.415,[2970.81; 2988.02],247.0398,[246.33; 247.75]
well19937O3a,4.9631,0.1009,[4.85; 5.08],4.9612,0.1005,[4.85; 5.07],0.0019,2991.035,[2981.97; 3000.10],247.4118,[246.66; 248.16]
mrg32k3aO3,19.9659,0.2272,[19.80; 20.14],19.964,0.2271,[19.79; 20.13],0.0019,3000.865,[2941.58; 3060.15],998.5812,[978.85; 1018.31]
well19937aR,13.0829,0.0004,[13.08; 13.09],13.0806,0.0004,[13.07; 13.09],0.0022,3040.66,[3008.42; 3072.90],663.0092,[655.98; 670.04]
mt19937arO2,4.5031,0.2166,[4.34; 4.67],4.5015,0.2157,[4.34; 4.67],0.0017,3179.165,[3168.29; 3190.04],238.6034,[237.79; 239.42]
mt19937arR,7.4846,0.2383,[7.31; 7.66],7.4828,0.2377,[7.31; 7.66],0.0018,3186.49,[3172.36; 3200.62],397.4934,[395.73; 399.26]
mt19937arO3,4.1974,0.1541,[4.06; 4.34],4.196,0.1535,[4.06; 4.34],0.0015,3226.825,[3159.98; 3293.67],225.7397,[221.06; 230.42]
pythonR_pythonRandomGenerationOneByOne,36.8693,3.1807,[36.23; 37.51],36.8575,3.1823,[36.22; 37.50],0.0118,3865.7083,[3806.83; 3924.59],2375.4305,[2339.25; 2411.61]
pcg64O3,10.9984,0.2208,[10.83; 11.17],10.9963,0.2202,[10.83; 11.16],0.0021,3882.55,[3812.37; 3952.73],711.6973,[698.83; 724.56]
pcg64O2,11.0732,0.1943,[10.92; 11.23],11.072,0.1942,[10.91; 11.23],0.0012,3925.175,[3872.56; 3977.79],724.4019,[714.69; 734.11]
pythonTaskset_pythonTasksetRandomGenerationAtOnce,69.5241,2.0231,[69.02; 70.03],43.8863,0.4140,[43.66; 44.12],25.6378,3994.895,[3871.83; 4117.96],4629.0247,[4486.43; 4771.62]
pytorchTaskset_pytorchTasksetRandomGenerationAtOnce,6.0202,0.0565,[5.94; 6.11],5.3053,0.0250,[5.25; 5.36],0.7149,4348.0241,[4306.74; 4389.30],436.2687,[432.13; 440.41]
numpyMt_numpyMtRandomGenerationAtOnce,13.0826,18.0893,[11.56; 14.60],7.269,0.0916,[7.16; 7.38],5.8136,4358.065,[4168.48; 4547.65],950.2446,[908.91; 991.58]
pcg64R,13.1803,0.1272,[13.05; 13.31],13.1792,0.1269,[13.05; 13.31],0.0011,4473.0672,[4459.61; 4486.52],982.6086,[979.65; 985.56]
numpyTaskset_numpyTasksetRandomGenerationAtOnce,4.3549,0.0083,[4.32; 4.39],3.562,0.0155,[3.52; 3.61],0.7929,4550.28,[4530.53; 4570.03],330.2669,[328.83; 331.70]
tensorflowTaskset_tensorflowTasksetRandomGenerationAtOnce,8.1807,0.0255,[8.12; 8.24],6.6745,0.0142,[6.63; 6.72],1.5062,4762.63,[4750.04; 4775.22],649.3634,[647.65; 651.08]
numpyPhilox_numpyPhiloxRandomGenerationAtOnce,13.2558,3.4810,[12.59; 13.92],12.0001,0.0921,[11.89; 12.11],1.2557,5033.005,[4875.79; 5190.22],1111.9446,[1077.21; 1146.68]
tensorflowR_tensorflowRandomGenerationAtOnce,3.3758,0.0683,[3.28; 3.47],32.3289,1.4632,[31.90; 32.76],-28.9531,5131.12,[5100.87; 5161.37],288.6939,[286.99; 290.40]
pytorchR_pytorchRandomGenerationOneByOne,2388.4092,385.8637,[2381.38; 2395.44],2388.8529,388.1488,[2381.80; 2395.90],-0.4436,5630.9,[5233.18; 6028.62],224148.2259,[208316.06; 239980.39]
numpyR_numpyRandomGenerationAtOnce,5.773,8.5204,[4.73; 6.82],5.7547,8.4411,[4.71; 6.79],0.0183,5906.645,[5670.16; 6143.13],568.3177,[545.56; 591.07]
numpyR_numpyRandomGenerationOneByOne,330.9751,162.8978,[326.41; 335.54],331.8779,162.6531,[327.31; 336.44],-0.9028,5935.289,[5772.42; 6098.16],32740.5509,[31842.13; 33638.98]
pythonR_pythonRandomGenerationAtOnce,75.4612,90.2587,[72.06; 78.86],48.4789,12.1838,[47.23; 49.73],26.9823,6521.71,[6078.98; 6964.44],8202.2677,[7645.45; 8759.08]
pytorchR_pytorchRandomGenerationAtOnce,6.9013,0.1639,[6.76; 7.05],7.0107,0.0993,[6.90; 7.12],-0.1094,7141.5,[6891.12; 7391.88],821.4272,[792.63; 850.23]
numpyMt_numpyMtRandomGenerationOneByOne,319.8938,26.4842,[318.05; 321.74],320.8309,26.4930,[318.99; 322.67],-0.9371,37375.5517,[36671.35; 38079.75],199270.1419,[195515.66; 203024.62]
numpyPhilox_numpyPhiloxRandomGenerationOneByOne,323.0621,24.8951,[321.28; 324.85],323.9827,24.7196,[322.20; 325.76],-0.9206,37590.4448,[36613.97; 38566.92],202400.8008,[197143.08; 207658.52]
Generator,Real time (s),Real time variance,Real time 95% CI,User time (s),User time variance,User time 95% CI,Difference (Real - User time),Energy consumption (J/min),Energy consumption 95% CI,Energy consumption during real time (J),Energy consumption during real time 95% CI
mt19937arO3,4.1974,0.1541,[4.06; 4.34],4.196,0.1535,[4.06; 4.34],0.0015,3226.825,[3159.98; 3293.67],225.7397,[221.06; 230.42]
mt19937arO2,4.5031,0.2166,[4.34; 4.67],4.5015,0.2157,[4.34; 4.67],0.0017,3179.165,[3168.29; 3190.04],238.6034,[237.79; 239.42]
well19937O2a,4.9749,0.1644,[4.83; 5.12],4.9733,0.1642,[4.83; 5.12],0.0017,2979.415,[2970.81; 2988.02],247.0398,[246.33; 247.75]
well19937O3a,4.9631,0.1009,[4.85; 5.08],4.9612,0.1005,[4.85; 5.07],0.0019,2991.035,[2981.97; 3000.10],247.4118,[246.66; 248.16]
tensorflowR_tensorflowRandomGenerationAtOnce,3.3758,0.0683,[3.28; 3.47],32.3289,1.4632,[31.90; 32.76],-28.9531,5131.12,[5100.87; 5161.37],288.6939,[286.99; 290.40]
numpyTaskset_numpyTasksetRandomGenerationAtOnce,4.3549,0.0083,[4.32; 4.39],3.562,0.0155,[3.52; 3.61],0.7929,4550.28,[4530.53; 4570.03],330.2669,[328.83; 331.70]
mt19937arR,7.4846,0.2383,[7.31; 7.66],7.4828,0.2377,[7.31; 7.66],0.0018,3186.49,[3172.36; 3200.62],397.4934,[395.73; 399.26]
pytorchTaskset_pytorchTasksetRandomGenerationAtOnce,6.0202,0.0565,[5.94; 6.11],5.3053,0.0250,[5.25; 5.36],0.7149,4348.0241,[4306.74; 4389.30],436.2687,[432.13; 440.41]
numpyR_numpyRandomGenerationAtOnce,5.773,8.5204,[4.73; 6.82],5.7547,8.4411,[4.71; 6.79],0.0183,5906.645,[5670.16; 6143.13],568.3177,[545.56; 591.07]
tensorflowTaskset_tensorflowTasksetRandomGenerationAtOnce,8.1807,0.0255,[8.12; 8.24],6.6745,0.0142,[6.63; 6.72],1.5062,4762.63,[4750.04; 4775.22],649.3634,[647.65; 651.08]
well19937aR,13.0829,0.0004,[13.08; 13.09],13.0806,0.0004,[13.07; 13.09],0.0022,3040.66,[3008.42; 3072.90],663.0092,[655.98; 670.04]
pcg64O3,10.9984,0.2208,[10.83; 11.17],10.9963,0.2202,[10.83; 11.16],0.0021,3882.55,[3812.37; 3952.73],711.6973,[698.83; 724.56]
pcg64O2,11.0732,0.1943,[10.92; 11.23],11.072,0.1942,[10.91; 11.23],0.0012,3925.175,[3872.56; 3977.79],724.4019,[714.69; 734.11]
pytorchR_pytorchRandomGenerationAtOnce,6.9013,0.1639,[6.76; 7.05],7.0107,0.0993,[6.90; 7.12],-0.1094,7141.5,[6891.12; 7391.88],821.4272,[792.63; 850.23]
numpyMt_numpyMtRandomGenerationAtOnce,13.0826,18.0893,[11.56; 14.60],7.269,0.0916,[7.16; 7.38],5.8136,4358.065,[4168.48; 4547.65],950.2446,[908.91; 991.58]
pcg64R,13.1803,0.1272,[13.05; 13.31],13.1792,0.1269,[13.05; 13.31],0.0011,4473.0672,[4459.61; 4486.52],982.6086,[979.65; 985.56]
mrg32k3aO3,19.9659,0.2272,[19.80; 20.14],19.964,0.2271,[19.79; 20.13],0.0019,3000.865,[2941.58; 3060.15],998.5812,[978.85; 1018.31]
numpyPhilox_numpyPhiloxRandomGenerationAtOnce,13.2558,3.4810,[12.59; 13.92],12.0001,0.0921,[11.89; 12.11],1.2557,5033.005,[4875.79; 5190.22],1111.9446,[1077.21; 1146.68]
mrg32k3aO2,31.466,0.4949,[31.21; 31.72],31.4628,0.4947,[31.21; 31.71],0.0032,2750.795,[2744.56; 2757.03],1442.6071,[1439.33; 1445.88]
mrg32k3aR,43.1265,0.2064,[42.96; 43.29],43.1234,0.2063,[42.96; 43.29],0.0031,2783.585,[2744.86; 2822.31],2000.7713,[1972.93; 2028.61]
pythonR_pythonRandomGenerationOneByOne,36.8693,3.1807,[36.23; 37.51],36.8575,3.1823,[36.22; 37.50],0.0118,3865.7083,[3806.83; 3924.59],2375.4305,[2339.25; 2411.61]
pythonTaskset_pythonTasksetRandomGenerationAtOnce,69.5241,2.0231,[69.02; 70.03],43.8863,0.4140,[43.66; 44.12],25.6378,3994.895,[3871.83; 4117.96],4629.0247,[4486.43; 4771.62]
pythonR_pythonRandomGenerationAtOnce,75.4612,90.2587,[72.06; 78.86],48.4789,12.1838,[47.23; 49.73],26.9823,6521.71,[6078.98; 6964.44],8202.2677,[7645.45; 8759.08]
numpyR_numpyRandomGenerationOneByOne,330.9751,162.8978,[326.41; 335.54],331.8779,162.6531,[327.31; 336.44],-0.9028,5935.289,[5772.42; 6098.16],32740.5509,[31842.13; 33638.98]
numpyMt_numpyMtRandomGenerationOneByOne,319.8938,26.4842,[318.05; 321.74],320.8309,26.4930,[318.99; 322.67],-0.9371,37375.5517,[36671.35; 38079.75],199270.1419,[195515.66; 203024.62]
numpyPhilox_numpyPhiloxRandomGenerationOneByOne,323.0621,24.8951,[321.28; 324.85],323.9827,24.7196,[322.20; 325.76],-0.9206,37590.4448,[36613.97; 38566.92],202400.8008,[197143.08; 207658.52]
pytorchR_pytorchRandomGenerationOneByOne,2388.4092,385.8637,[2381.38; 2395.44],2388.8529,388.1488,[2381.80; 2395.90],-0.4436,5630.9,[5233.18; 6028.62],224148.2259,[208316.06; 239980.39]
Generator,Real time (s),Real time variance,Real time 95% CI,User time (s),User time variance,User time 95% CI,Difference (Real - User time),Energy consumption (J/min),Energy consumption 95% CI,Energy consumption during real time (J),Energy consumption during real time 95% CI
tensorflowR_tensorflowRandomGenerationAtOnce,3.3758,0.0683,[3.28; 3.47],32.3289,1.4632,[31.90; 32.76],-28.9531,5131.12,[5100.87; 5161.37],288.6939,[286.99; 290.40]
mt19937arO3,4.1974,0.1541,[4.06; 4.34],4.196,0.1535,[4.06; 4.34],0.0015,3226.825,[3159.98; 3293.67],225.7397,[221.06; 230.42]
numpyTaskset_numpyTasksetRandomGenerationAtOnce,4.3549,0.0083,[4.32; 4.39],3.562,0.0155,[3.52; 3.61],0.7929,4550.28,[4530.53; 4570.03],330.2669,[328.83; 331.70]
mt19937arO2,4.5031,0.2166,[4.34; 4.67],4.5015,0.2157,[4.34; 4.67],0.0017,3179.165,[3168.29; 3190.04],238.6034,[237.79; 239.42]
well19937O3a,4.9631,0.1009,[4.85; 5.08],4.9612,0.1005,[4.85; 5.07],0.0019,2991.035,[2981.97; 3000.10],247.4118,[246.66; 248.16]
well19937O2a,4.9749,0.1644,[4.83; 5.12],4.9733,0.1642,[4.83; 5.12],0.0017,2979.415,[2970.81; 2988.02],247.0398,[246.33; 247.75]
numpyR_numpyRandomGenerationAtOnce,5.773,8.5204,[4.73; 6.82],5.7547,8.4411,[4.71; 6.79],0.0183,5906.645,[5670.16; 6143.13],568.3177,[545.56; 591.07]
pytorchTaskset_pytorchTasksetRandomGenerationAtOnce,6.0202,0.0565,[5.94; 6.11],5.3053,0.0250,[5.25; 5.36],0.7149,4348.0241,[4306.74; 4389.30],436.2687,[432.13; 440.41]
pytorchR_pytorchRandomGenerationAtOnce,6.9013,0.1639,[6.76; 7.05],7.0107,0.0993,[6.90; 7.12],-0.1094,7141.5,[6891.12; 7391.88],821.4272,[792.63; 850.23]
mt19937arR,7.4846,0.2383,[7.31; 7.66],7.4828,0.2377,[7.31; 7.66],0.0018,3186.49,[3172.36; 3200.62],397.4934,[395.73; 399.26]
tensorflowTaskset_tensorflowTasksetRandomGenerationAtOnce,8.1807,0.0255,[8.12; 8.24],6.6745,0.0142,[6.63; 6.72],1.5062,4762.63,[4750.04; 4775.22],649.3634,[647.65; 651.08]
pcg64O3,10.9984,0.2208,[10.83; 11.17],10.9963,0.2202,[10.83; 11.16],0.0021,3882.55,[3812.37; 3952.73],711.6973,[698.83; 724.56]
pcg64O2,11.0732,0.1943,[10.92; 11.23],11.072,0.1942,[10.91; 11.23],0.0012,3925.175,[3872.56; 3977.79],724.4019,[714.69; 734.11]
numpyMt_numpyMtRandomGenerationAtOnce,13.0826,18.0893,[11.56; 14.60],7.269,0.0916,[7.16; 7.38],5.8136,4358.065,[4168.48; 4547.65],950.2446,[908.91; 991.58]
well19937aR,13.0829,0.0004,[13.08; 13.09],13.0806,0.0004,[13.07; 13.09],0.0022,3040.66,[3008.42; 3072.90],663.0092,[655.98; 670.04]
pcg64R,13.1803,0.1272,[13.05; 13.31],13.1792,0.1269,[13.05; 13.31],0.0011,4473.0672,[4459.61; 4486.52],982.6086,[979.65; 985.56]
numpyPhilox_numpyPhiloxRandomGenerationAtOnce,13.2558,3.4810,[12.59; 13.92],12.0001,0.0921,[11.89; 12.11],1.2557,5033.005,[4875.79; 5190.22],1111.9446,[1077.21; 1146.68]
mrg32k3aO3,19.9659,0.2272,[19.80; 20.14],19.964,0.2271,[19.79; 20.13],0.0019,3000.865,[2941.58; 3060.15],998.5812,[978.85; 1018.31]
mrg32k3aO2,31.466,0.4949,[31.21; 31.72],31.4628,0.4947,[31.21; 31.71],0.0032,2750.795,[2744.56; 2757.03],1442.6071,[1439.33; 1445.88]
pythonR_pythonRandomGenerationOneByOne,36.8693,3.1807,[36.23; 37.51],36.8575,3.1823,[36.22; 37.50],0.0118,3865.7083,[3806.83; 3924.59],2375.4305,[2339.25; 2411.61]
mrg32k3aR,43.1265,0.2064,[42.96; 43.29],43.1234,0.2063,[42.96; 43.29],0.0031,2783.585,[2744.86; 2822.31],2000.7713,[1972.93; 2028.61]
pythonTaskset_pythonTasksetRandomGenerationAtOnce,69.5241,2.0231,[69.02; 70.03],43.8863,0.4140,[43.66; 44.12],25.6378,3994.895,[3871.83; 4117.96],4629.0247,[4486.43; 4771.62]
pythonR_pythonRandomGenerationAtOnce,75.4612,90.2587,[72.06; 78.86],48.4789,12.1838,[47.23; 49.73],26.9823,6521.71,[6078.98; 6964.44],8202.2677,[7645.45; 8759.08]
numpyMt_numpyMtRandomGenerationOneByOne,319.8938,26.4842,[318.05; 321.74],320.8309,26.4930,[318.99; 322.67],-0.9371,37375.5517,[36671.35; 38079.75],199270.1419,[195515.66; 203024.62]
numpyPhilox_numpyPhiloxRandomGenerationOneByOne,323.0621,24.8951,[321.28; 324.85],323.9827,24.7196,[322.20; 325.76],-0.9206,37590.4448,[36613.97; 38566.92],202400.8008,[197143.08; 207658.52]
numpyR_numpyRandomGenerationOneByOne,330.9751,162.8978,[326.41; 335.54],331.8779,162.6531,[327.31; 336.44],-0.9028,5935.289,[5772.42; 6098.16],32740.5509,[31842.13; 33638.98]
pytorchR_pytorchRandomGenerationOneByOne,2388.4092,385.8637,[2381.38; 2395.44],2388.8529,388.1488,[2381.80; 2395.90],-0.4436,5630.9,[5233.18; 6028.62],224148.2259,[208316.06; 239980.39]
Generator,Real time (s),Real time variance,Real time 95% CI,User time (s),User time variance,User time 95% CI,Difference (Real - User time),Energy consumption (J/min),Energy consumption 95% CI,Energy consumption during real time (J),Energy consumption during real time 95% CI
numpyTaskset_numpyTasksetRandomGenerationAtOnce,4.3549,0.0083,[4.32; 4.39],3.562,0.0155,[3.52; 3.61],0.7929,4550.28,[4530.53; 4570.03],330.2669,[328.83; 331.70]
mt19937arO3,4.1974,0.1541,[4.06; 4.34],4.196,0.1535,[4.06; 4.34],0.0015,3226.825,[3159.98; 3293.67],225.7397,[221.06; 230.42]
mt19937arO2,4.5031,0.2166,[4.34; 4.67],4.5015,0.2157,[4.34; 4.67],0.0017,3179.165,[3168.29; 3190.04],238.6034,[237.79; 239.42]
well19937O3a,4.9631,0.1009,[4.85; 5.08],4.9612,0.1005,[4.85; 5.07],0.0019,2991.035,[2981.97; 3000.10],247.4118,[246.66; 248.16]
well19937O2a,4.9749,0.1644,[4.83; 5.12],4.9733,0.1642,[4.83; 5.12],0.0017,2979.415,[2970.81; 2988.02],247.0398,[246.33; 247.75]
pytorchTaskset_pytorchTasksetRandomGenerationAtOnce,6.0202,0.0565,[5.94; 6.11],5.3053,0.0250,[5.25; 5.36],0.7149,4348.0241,[4306.74; 4389.30],436.2687,[432.13; 440.41]
numpyR_numpyRandomGenerationAtOnce,5.773,8.5204,[4.73; 6.82],5.7547,8.4411,[4.71; 6.79],0.0183,5906.645,[5670.16; 6143.13],568.3177,[545.56; 591.07]
tensorflowTaskset_tensorflowTasksetRandomGenerationAtOnce,8.1807,0.0255,[8.12; 8.24],6.6745,0.0142,[6.63; 6.72],1.5062,4762.63,[4750.04; 4775.22],649.3634,[647.65; 651.08]
pytorchR_pytorchRandomGenerationAtOnce,6.9013,0.1639,[6.76; 7.05],7.0107,0.0993,[6.90; 7.12],-0.1094,7141.5,[6891.12; 7391.88],821.4272,[792.63; 850.23]
numpyMt_numpyMtRandomGenerationAtOnce,13.0826,18.0893,[11.56; 14.60],7.269,0.0916,[7.16; 7.38],5.8136,4358.065,[4168.48; 4547.65],950.2446,[908.91; 991.58]
mt19937arR,7.4846,0.2383,[7.31; 7.66],7.4828,0.2377,[7.31; 7.66],0.0018,3186.49,[3172.36; 3200.62],397.4934,[395.73; 399.26]
pcg64O3,10.9984,0.2208,[10.83; 11.17],10.9963,0.2202,[10.83; 11.16],0.0021,3882.55,[3812.37; 3952.73],711.6973,[698.83; 724.56]
pcg64O2,11.0732,0.1943,[10.92; 11.23],11.072,0.1942,[10.91; 11.23],0.0012,3925.175,[3872.56; 3977.79],724.4019,[714.69; 734.11]
numpyPhilox_numpyPhiloxRandomGenerationAtOnce,13.2558,3.4810,[12.59; 13.92],12.0001,0.0921,[11.89; 12.11],1.2557,5033.005,[4875.79; 5190.22],1111.9446,[1077.21; 1146.68]
well19937aR,13.0829,0.0004,[13.08; 13.09],13.0806,0.0004,[13.07; 13.09],0.0022,3040.66,[3008.42; 3072.90],663.0092,[655.98; 670.04]
pcg64R,13.1803,0.1272,[13.05; 13.31],13.1792,0.1269,[13.05; 13.31],0.0011,4473.0672,[4459.61; 4486.52],982.6086,[979.65; 985.56]
mrg32k3aO3,19.9659,0.2272,[19.80; 20.14],19.964,0.2271,[19.79; 20.13],0.0019,3000.865,[2941.58; 3060.15],998.5812,[978.85; 1018.31]
mrg32k3aO2,31.466,0.4949,[31.21; 31.72],31.4628,0.4947,[31.21; 31.71],0.0032,2750.795,[2744.56; 2757.03],1442.6071,[1439.33; 1445.88]
tensorflowR_tensorflowRandomGenerationAtOnce,3.3758,0.0683,[3.28; 3.47],32.3289,1.4632,[31.90; 32.76],-28.9531,5131.12,[5100.87; 5161.37],288.6939,[286.99; 290.40]
pythonR_pythonRandomGenerationOneByOne,36.8693,3.1807,[36.23; 37.51],36.8575,3.1823,[36.22; 37.50],0.0118,3865.7083,[3806.83; 3924.59],2375.4305,[2339.25; 2411.61]
mrg32k3aR,43.1265,0.2064,[42.96; 43.29],43.1234,0.2063,[42.96; 43.29],0.0031,2783.585,[2744.86; 2822.31],2000.7713,[1972.93; 2028.61]
pythonTaskset_pythonTasksetRandomGenerationAtOnce,69.5241,2.0231,[69.02; 70.03],43.8863,0.4140,[43.66; 44.12],25.6378,3994.895,[3871.83; 4117.96],4629.0247,[4486.43; 4771.62]
pythonR_pythonRandomGenerationAtOnce,75.4612,90.2587,[72.06; 78.86],48.4789,12.1838,[47.23; 49.73],26.9823,6521.71,[6078.98; 6964.44],8202.2677,[7645.45; 8759.08]
numpyMt_numpyMtRandomGenerationOneByOne,319.8938,26.4842,[318.05; 321.74],320.8309,26.4930,[318.99; 322.67],-0.9371,37375.5517,[36671.35; 38079.75],199270.1419,[195515.66; 203024.62]
numpyPhilox_numpyPhiloxRandomGenerationOneByOne,323.0621,24.8951,[321.28; 324.85],323.9827,24.7196,[322.20; 325.76],-0.9206,37590.4448,[36613.97; 38566.92],202400.8008,[197143.08; 207658.52]
numpyR_numpyRandomGenerationOneByOne,330.9751,162.8978,[326.41; 335.54],331.8779,162.6531,[327.31; 336.44],-0.9028,5935.289,[5772.42; 6098.16],32740.5509,[31842.13; 33638.98]
pytorchR_pytorchRandomGenerationOneByOne,2388.4092,385.8637,[2381.38; 2395.44],2388.8529,388.1488,[2381.80; 2395.90],-0.4436,5630.9,[5233.18; 6028.62],224148.2259,[208316.06; 239980.39]
Generator,Real time (s),Real time variance,Real time 95% CI,User time (s),User time variance,User time 95% CI,Difference (Real - User time),Energy consumption (J/min),Energy consumption 95% CI,Energy consumption during real time (J),Energy consumption during real time 95% CI
mrg32k3aO2,31.46596666666667,0.49491024022988495,[31.21; 31.72],31.462766666666667,0.4947381160919544,[31.21; 31.71],0.0032000000000032003,2750.7950000000005,[2744.56; 2757.03],1442.6070629472226,[1439.33; 1445.88]
mrg32k3aO3,19.965866666666674,0.2272254988505746,[19.80; 20.14],19.964000000000002,0.2270607586206895,[19.79; 20.13],0.0018666666666717902,3000.865,[2941.58; 3060.15],998.5811745777781,[978.85; 1018.31]
mrg32k3aR,43.1265,0.20636770689655226,[42.96; 43.29],43.12336666666667,0.206296791954023,[42.96; 43.29],0.003133333333330768,2783.585,[2744.86; 2822.31],2000.7713083750002,[1972.93; 2028.61]
mt19937arO2,4.503133333333334,0.21657274022988496,[4.34; 4.67],4.501466666666667,0.21569949885057468,[4.34; 4.67],0.0016666666666669272,3179.1649999999995,[3168.29; 3190.04],238.60339806111114,[237.79; 239.42]
mt19937arO3,4.197433333333333,0.15405777126436782,[4.06; 4.34],4.195966666666667,0.15353389540229886,[4.06; 4.34],0.001466666666665617,3226.824999999999,[3159.98; 3293.67],225.7397135972221,[221.06; 230.42]
mt19937arR,7.4846,0.23828914482758615,[7.31; 7.66],7.482766666666666,0.237718116091954,[7.31; 7.66],0.0018333333333346857,3186.49,[3172.36; 3200.62],397.49338423333336,[395.73; 399.26]
numpyMt_numpyMtRandomGenerationAtOnce,13.082566666666668,18.089264460919544,[11.56; 14.60],7.268966666666667,0.09162589540229887,[7.16; 7.38],5.813600000000002,4358.065,[4168.48; 4547.65],950.2445983361112,[908.91; 991.58]
numpyMt_numpyMtRandomGenerationOneByOne,319.89383333333325,26.484203660919537,[318.05; 321.74],320.8309,26.49299429999996,[318.99; 322.67],-0.9370666666667375,37375.55172413793,[36671.35; 38079.75],199270.1418997126,[195515.66; 203024.62]
numpyPhilox_numpyPhiloxRandomGenerationAtOnce,13.255833333333332,3.4810100057471263,[12.59; 13.92],12.000133333333336,0.0920814988505747,[11.89; 12.11],1.2556999999999956,5033.005,[4875.79; 5190.22],1111.9445907638888,[1077.21; 1146.68]
numpyPhilox_numpyPhiloxRandomGenerationOneByOne,323.06210000000004,24.89505278275862,[321.28; 324.85],323.9827333333333,24.71960661609191,[322.20; 325.76],-0.9206333333332282,37590.444827586194,[36613.97; 38566.92],202400.8007655689,[197143.08; 207658.52]
numpyR_numpyRandomGenerationAtOnce,5.773,8.520403655172414,[4.73; 6.82],5.754666666666666,8.441070505747126,[4.71; 6.79],0.018333333333333535,5906.645,[5670.16; 6143.13],568.3176930833333,[545.56; 591.07]
numpyR_numpyRandomGenerationOneByOne,330.97513333333336,162.89779818850576,[326.41; 335.54],331.8779333333333,162.6530534436781,[327.31; 336.44],-0.9027999999999565,5935.288965517241,[5772.42; 6098.16],32740.55094556552,[31842.13; 33638.98]
numpyTaskset_numpyTasksetRandomGenerationAtOnce,4.354899999999999,0.008284920689655164,[4.32; 4.39],3.562033333333334,0.01548003333333333,[3.52; 3.61],0.792866666666665,4550.28,[4530.53; 4570.03],330.2669061999999,[328.83; 331.70]
pcg64O2,11.073166666666669,0.19433441954022995,[10.92; 11.23],11.071966666666667,0.19419824022988502,[10.91; 11.23],0.0012000000000025324,3925.1749999999993,[3872.56; 3977.79],724.4019495138889,[714.69; 734.11]
pcg64O3,10.9984,0.22081838620689676,[10.83; 11.17],10.996300000000003,0.2202073896551725,[10.83; 11.16],0.002099999999996882,3882.5499999999997,[3812.37; 3952.73],711.6972986666666,[698.83; 724.56]
pcg64R,13.180333333333333,0.12721698850574706,[13.05; 13.31],13.179233333333334,0.12687735747126433,[13.05; 13.31],0.0010999999999992127,4473.06724137931,[4459.61; 4486.52],982.6086210632183,[979.65; 985.56]
pythonR_pythonRandomGenerationAtOnce,75.4612,90.25866609655172,[72.06; 78.86],48.47893333333333,12.18376565057471,[47.23; 49.73],26.982266666666675,6521.71,[6078.98; 6964.44],8202.267710866668,[7645.45; 8759.08]
pythonR_pythonRandomGenerationOneByOne,36.86926666666667,3.180715719540231,[36.23; 37.51],36.8575,3.182281913793104,[36.22; 37.50],0.011766666666666481,3865.7082758620686,[3806.83; 3924.59],2375.4304879716474,[2339.25; 2411.61]
pythonTaskset_pythonTasksetRandomGenerationAtOnce,69.5241,2.023144575862068,[69.02; 70.03],43.88626666666667,0.41396227126436735,[43.66; 44.12],25.637833333333333,3994.8950000000004,[3871.83; 4117.96],4629.024657825001,[4486.43; 4771.62]
pytorchR_pytorchRandomGenerationAtOnce,6.9013,0.16385980344827578,[6.76; 7.05],7.010666666666667,0.09930485057471261,[6.90; 7.12],-0.10936666666666728,7141.5,[6891.12; 7391.88],821.4272325,[792.63; 850.23]
pytorchR_pytorchRandomGenerationOneByOne,2388.4092333333333,385.8636750126419,[2381.38; 2395.44],2388.8528666666666,388.14882956781724,[2381.80; 2395.90],-0.44363333333330957,5630.9,[5233.18; 6028.62],224148.22586627776,[208316.06; 239980.39]
pytorchTaskset_pytorchTasksetRandomGenerationAtOnce,6.020233333333334,0.056457771264367844,[5.94; 6.11],5.3053,0.02500014827586207,[5.25; 5.36],0.7149333333333345,4348.024137931035,[4306.74; 4389.30],436.26866415517253,[432.13; 440.41]
tensorflowR_tensorflowRandomGenerationAtOnce,3.3758,0.06826740689655171,[3.28; 3.47],32.3289,1.463164851724137,[31.90; 32.76],-28.9531,5131.120000000001,[5100.87; 5161.37],288.69391493333336,[286.99; 290.40]
tensorflowTaskset_tensorflowTasksetRandomGenerationAtOnce,8.180733333333333,0.02550523678160922,[8.12; 8.24],6.674499999999998,0.01418743103448277,[6.63; 6.72],1.5062333333333342,4762.630000000001,[4750.04; 4775.22],649.3634332555557,[647.65; 651.08]
well19937O2a,4.974933333333334,0.1644335126436781,[4.83; 5.12],4.9732666666666665,0.16416151264367818,[4.83; 5.12],0.0016666666666678154,2979.4150000000004,[2970.81; 2988.02],247.03984995555564,[246.33; 247.75]
well19937O3a,4.963066666666665,0.10090089195402302,[4.85; 5.08],4.9612,0.10049961379310347,[4.85; 5.07],0.001866666666665573,2991.035,[2981.97; 3000.10],247.41176845555546,[246.66; 248.16]
well19937aR,13.082866666666668,0.00039618850574712724,[13.08; 13.09],13.080633333333333,0.00042961954022987576,[13.07; 13.09],0.0022333333333346417,3040.6600000000003,[3008.42; 3072.90],663.0091559777778,[655.98; 670.04]
Generator,Real time (s),Real time variance,Real time 95% CI,User time (s),User time variance,User time 95% CI,Difference (Real - User time),Energy consumption (J/min),Energy consumption 95% CI,Energy consumption during real time (J)
mt19937arIntegerO2,4.743366666666668,0.03560927471264366,[4.68; 4.81],4.7386,0.03539273103448277,[4.67; 4.81],0.004766666666667696,3323.89,[3226.38; 3421.40],262.7738171611112
mt19937arIntegerO3,4.292333333333333,0.11800464367816095,[4.17; 4.42],4.290366666666667,0.11791086091954024,[4.17; 4.41],0.00196666666666534,3607.7349999999997,[3476.79; 3738.68],258.09335330555547
mt19937arIntegerR,7.101000000000001,0.16065758620689644,[6.96; 7.24],7.097499999999998,0.15948515517241377,[6.95; 7.24],0.003500000000002501,3419.125,[3285.98; 3552.27],404.65344375000006
numpyIntegerMt_numpyIntegerMtRandomGenerationAtOnce,4.551866666666666,0.1308721885057471,[4.42; 4.68],5.146533333333333,0.11990411954022988,[5.02; 5.27],-0.5946666666666669,4847.665,[4828.75; 4866.58],367.76541207777774
numpyIntegerMt_numpyIntegerMtRandomGenerationOneByOne,6327.762666666665,77323.71811471261,[6228.26; 6427.27],6328.496200000002,77348.20327120001,[6228.97; 6428.02],-0.7335333333376184,45223.56206896552,[42623.11; 47824.02],4769399.4618947115
numpyIntegerPhilox_numpyIntegerPhiloxRandomGenerationAtOnce,6.772866666666665,0.15895742988505743,[6.63; 6.92],7.369800000000001,0.16249402758620698,[7.23; 7.51],-0.596933333333336,4849.215,[4829.80; 4868.63],547.3847772166665
numpyIntegerPhilox_numpyIntegerPhiloxRandomGenerationOneByOne,6552.208433333333,49609.537693771235,[6472.50; 6631.91],6553.128133333333,49627.2739763954,[6473.41; 6632.85],-0.919699999999466,64212.808928571416,[61111.12; 67314.50],7012261.80316346
numpyIntegerR_numpyIntegerRandomGenerationAtOnce,3.4213333333333336,0.2778338850574712,[3.23; 3.61],3.9793333333333334,0.24018078160919537,[3.80; 4.15],-0.5579999999999998,4688.14,[4669.67; 4706.61],267.32816088888893
numpyIntegerR_numpyIntegerRandomGenerationOneByOne,6458.611266666666,29731.226886891945,[6396.91; 6520.31],6459.4995,29756.44412901723,[6397.77; 6521.23],-0.8882333333340284,5925.941379310343,[5579.41; 6272.47],637889.1959669997
numpyIntegerTaskset_numpyIntegerTasksetRandomGenerationAtOnce,2.598366666666666,0.00010134367816091952,[2.59; 2.60],2.2034333333333334,0.0023462540229885033,[2.19; 2.22],0.39493333333333247,4766.348275862068,[4747.59; 4785.10],206.4120080287355
pcg32IntegerR,2.452033333333333,0.2623192057471264,[2.27; 2.64],2.4505,0.2614450172413793,[2.27; 2.63],0.0015333333333331645,3209.7,[3185.35; 3234.05],131.17152316666665
philoxIntegerR,90.06043333333334,0.8233662540229879,[89.74; 90.39],90.0577666666667,0.8211610816091908,[89.73; 90.38],0.002666666666641504,4845.4800000000005,[4824.15; 4866.81],7273.100475133334
pythonIntegerR_pythonIntegerRandomGenerationAtOnce,489.0244666666667,23.150945222988522,[487.30; 490.75],453.2894333333334,15.438946047126404,[451.88; 454.70],35.73503333333326,4375.205,[4110.53; 4639.88],35659.70486137222
pythonIntegerR_pythonIntegerRandomGenerationOneByOne,425.9194333333333,21.97728259885056,[424.24; 427.60],425.9053666666667,21.98476644712646,[424.23; 427.58],0.01406666666662204,5410.519310344826,[5185.95; 5635.09],38407.4219783521
pythonIntegerTaskset_pythonIntegerTasksetRandomGenerationAtOnce,486.1138333333333,30.353489867816105,[484.14; 488.09],452.9372333333333,20.35909349540229,[451.32; 454.55],33.17659999999995,4298.715,[4260.00; 4337.43],34827.747117625004
pytorchIntegerR_pytorchIntegerRandomGenerationAtOnce,9.086766666666668,0.07867397816091957,[8.99; 9.19],8.931566666666665,0.04828694367816087,[8.85; 9.01],0.15520000000000245,4812.527586206897,[4775.33; 4849.73],728.838587545977
pytorchIntegerR_pytorchIntegerRandomGenerationOneByOne,2281.7916,8409.516744662069,[2248.98; 2314.61],2282.3334000000004,8415.962512386206,[2249.51; 2315.16],-0.5418000000004213,8846.437142857145,[8492.64; 9200.24],336428.7660416572
pytorchIntegerTaskset_pytorchIntegerTasksetRandomGenerationAtOnce,8.062233333333332,0.031242254022988518,[8.00; 8.13],7.119666666666666,0.02589919540229886,[7.06; 7.18],0.9425666666666652,4766.960000000002,[4748.06; 4785.86],640.5390635111112
tensorflowIntegerR_tensorflowIntegerRandomGenerationAtOnce,3.2186333333333335,0.00778065402298851,[3.19; 3.25],17.890566666666665,0.2898039091954021,[17.70; 18.08],-14.671933333333332,4893.7241379310335,[4862.41; 4925.04],262.51839390804594
tensorflowIntegerTaskset_tensorflowIntegerTasksetRandomGenerationAtOnce,7.082533333333333,0.014976671264367818,[7.04; 7.13],6.230566666666666,0.009662047126436776,[6.20; 6.27],0.8519666666666668,4800.250000000001,[4784.14; 4816.36],566.6321772222223
File,Real Time,User Time,Sys Time
timeNumpySaving.txt,170.6,33.1,137.3
timePytorchSaving.txt,176.2,43.2,132.5
timeNumpyMtSaving.txt,177.5,48.4,128.6
timeNumpyPhiloxSaving.txt,231.9,96.7,135.0
timeMtSaving.txt,281.8,126.0,154.4
timeWellSaving.txt,283.0,127.4,155.2
timeTensorflowSaving.txt,288.8,1893.2,393.4
timePcgSaving.txt,346.8,185.8,160.6
timeMrgSaving.txt,449.9,307.2,142.2
timePythonSaving.txt,1355.8,1218.5,136.7
File,Real Time,User Time,Sys Time
timeNumpyMtSaving.txt,177.5,48.4,128.6
timePytorchSaving.txt,176.2,43.2,132.5
timeNumpyPhiloxSaving.txt,231.9,96.7,135.0
timePythonSaving.txt,1355.8,1218.5,136.7
timeNumpySaving.txt,170.6,33.1,137.3
timeMrgSaving.txt,449.9,307.2,142.2
timeMtSaving.txt,281.8,126.0,154.4
timeWellSaving.txt,283.0,127.4,155.2
timePcgSaving.txt,346.8,185.8,160.6
timeTensorflowSaving.txt,288.8,1893.2,393.4
File,Real Time,User Time,Sys Time
timeNumpySaving.txt,170.6,33.1,137.3
timePytorchSaving.txt,176.2,43.2,132.5
timeNumpyMtSaving.txt,177.5,48.4,128.6
timeNumpyPhiloxSaving.txt,231.9,96.7,135.0
timeMtSaving.txt,281.8,126.0,154.4
timeWellSaving.txt,283.0,127.4,155.2
timePcgSaving.txt,346.8,185.8,160.6
timeMrgSaving.txt,449.9,307.2,142.2
timePythonSaving.txt,1355.8,1218.5,136.7
timeTensorflowSaving.txt,288.8,1893.2,393.4
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