Create Training Set

Train application_name system_name processors num_mpi num_omppn input frequency executable_name scenario frequency papi_tot_cyc papi_tot_ins papi_l1_tcm papi_l2_tcm papi_fml_ins papi_br_tkn papi_l2_ldm papi_l2_stm papi_fdv_ins papi_br_cn papi_tot_iis papi_ca_shr papi_ca_cln papi_ca_itv papi_br_ntk papi_br_msp papi_fp_ins papi_res_stl papi_l1_ldm papi_l1_stm papi_l2_tcw papi_l2_dca papi_l2_dcr papi_l2_dcw papi_l1_icm papi_br_ins papi_l1_dch papi_l1_dca papi_l1_dcm papi_l1_tca papi_l1_ica papi_fp_ops papi_l2_ica papi_tlb_dm papi_vec_ins papi_l2_dcm papi_l2_icm papi_l2_tch papi_l2_tca papi_ld_ins papi_sr_ins papi_tlb_im papi_hw_int papi_l3_tcm nruntime power_sys power_cpu power_mem num_mpi num_omppn scaling_factor
STREAM_PC ANL Theta 1024 1024 1 STREAM array size=512000000.0, NTIMES=5000.0 1.301 stream_mpic empirical 1.301 1 0.1372106571287304 0.0302531360752626 0.0 0.0 0.0 0.0636038288383148 0.0348662034372182 0.0 0.0025805255118918 0.0 0.0 0.0 0.0 0.0163497849484087 0.0109120011769499 0.0 0.0158514064228401 0.0266793797685255 0.4754569638002633 0.0476105386494111 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010570598178053 0.0 0.0 0.0 0.0294950889751868 0.0275715147686031 0.0 0.001330246491393 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4777358821e-10 260.73913 191.130435 15.706522 1024 1 61483539569.852334354
FTLA-rSC13 ANL Theta 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=1.0 1.301 testing_ftdqr.x empirical 1.301 1 1.064033115401717 0.003372776287522 0.0 0.0 0.0 0.3518714948957408 0.1297511623320961 0.0 0.0001192659971029 0.0 0.0 0.0 0.0 0.1377390344283393 0.0416142658865514 0.0 0.0955747377224265 0.0013297936290938 0.1305675133313714 0.0166477549168179 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0018770982323926 0.0 0.0 0.0 0.1856163828151921 0.0014305062217556 0.0 0.0023302307884735 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5505351409e-10 197.247458 148.027119 11.772881 1024 1 197002900091.489063637
FTLA-rSC13 ANL Theta 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=2.0 1.301 testing_ftdqr.x empirical 1.301 1 1.062296681770121 0.0031454265073097 0.0 0.0 0.0 0.3503751821104573 0.1292744780892519 0.0 0.0001490636285808 0.0 0.0 0.0 0.0 0.1348778718877845 0.0410304967265481 0.0 0.0933935863260931 0.0014510014066665 0.1316462307013051 0.014667939808364 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019676597358783 0.0 0.0 0.0 0.1832594811848373 0.0014265328179903 0.0 0.0023571299186623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4816955379e-10 197.802222 139.504444 14.966667 1024 1 302406124191.877080954
XSBench ANL Theta 1024 16 64 gridpoints=100000.0, threads per node=64.0 1.301 XSBench empirical 1.301 1 0.4829488509248198 0.0053584929239725 0.0 0.0 0.0 0.1143942141082998 0.0593690229193987 0.0 0.0011023066972658 0.0 0.0 0.0 0.0 0.0485943767428132 0.0198477282053033 0.0 0.0295158321080651 0.002966953223032 0.2594540390458374 0.009909196251152 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0023461465922133 0.0 0.0 0.0 0.0718697673422996 0.0029584785841254 0.0 0.0038721316484966 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.15113121411e-09 125.979381 75.810309 12.024742 16 64 210649003369.678940553283716742
FTLA-rSC13 ANL Theta 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=3.0 1.301 testing_ftdqr.x empirical 1.301 1 1.056570647467066 0.0033817677244063 0.0 0.0 0.0 0.3491345003146399 0.1296821443348313 0.0 0.0001438622088328 0.0 0.0 0.0 0.0 0.1332487006754152 0.0407447804337841 0.0 0.0928051572526844 0.0014322255047919 0.1298783130734452 0.0165948880606473 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019659171354906 0.0 0.0 0.0 0.1841266828062117 0.0014321463839158 0.0 0.0023632255490218 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4998874515e-10 196.140187 143.11028 12.007477 1024 1 358302872860.118146268
FTLA-rSC13 ANL Theta 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=4.0 1.301 testing_ftdqr.x empirical 1.301 1 1.058326586047272 0.0033415261054573 0.0 0.0 0.0 0.3476484543891092 0.1299346087777897 0.0 0.0001482433953759 0.0 0.0 0.0 0.0 0.1341989438014317 0.041055259994422 0.0 0.092821140746759 0.0014347881217177 0.1293316046078435 0.0161628409295048 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019740706694083 0.0 0.0 0.0 0.1840541710262051 0.0014390790357354 0.0 0.0023512924832538 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4857582096e-10 196.047128 141.359352 12.421208 1024 1 455448957144.740530279
FTLA-rSC13 ANL Theta 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=5.0 1.301 testing_ftdqr.x empirical 1.301 1 1.054010539810886 0.0034193847400901 0.0 0.0 0.0 0.3470439650976633 0.1305650541871189 0.0 0.0001424267219159 0.0 0.0 0.0 0.0 0.1340674084723716 0.0410245016246672 0.0 0.0938979584495342 0.0014500728815205 0.1297879429174282 0.0157119913057094 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0020179280294286 0.0 0.0 0.0 0.1850336005630597 0.0014454579834732 0.0 0.0023913388739134 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5112529711e-10 186.11236 136.759051 11.076155 1024 1 535755929867.27332619
OpenMC ANL Theta 1024 16 64 Particles size=4000000.0, batch size=100.0, inactive size=20.0 1.301 openmc empirical 1.301 1 0.0858844375718109 0.0037036654305686 0.0 0.0 0.0 0.0228095393050225 0.0185555791049269 0.0 9.97139969808e-05 0.0 0.0 0.0 0.0 0.0090844694397505 0.0039196054762086 0.0 0.0048907758259217 0.0011098118315503 0.0171664705510645 0.0096492675827524 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.002624783730309 0.0 0.0 0.0 0.012705351551214 0.001134192868408 0.0 0.0012340721029146 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.2335876855e-10 158.629587 103.303899 12.247706 16 64 602583391466.652042702
la-fti ANL Theta 1024 1024 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0, Ckp L1=1.0, Ckp L2=2.0, Ckp L3=3.0, Ckp L4=4.0 1.301 testing_ftdqr.x empirical 1.301 1 1.110913601831773 0.00327916317996 0.0 0.0 0.0 0.412345366347621 0.123423393445817 0.0 0.0002042772397429 0.0 0.0 0.0 0.0 0.11838416322903 0.0367745762439221 0.0 0.0816193431332535 0.0017444032163654 0.1330975168501468 0.0400149638833779 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014010944046842 0.0 0.0 0.0 0.1597657869163603 0.0018344233904803 0.0 0.0022778239231248 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4340034744e-10 198.468418 140.439024 12.177611 1024 1 695541182864.099308175
la ANL Theta 1024 1024 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.111021205787406 0.002934613596667 0.0 0.0 0.0 0.4539821324744848 0.1111095010182887 0.0 0.000215439485166 0.0 0.0 0.0 0.0 0.1157486524946606 0.0361936104099697 0.0 0.0802435649181419 0.001722766862947 0.1308234670895124 0.0443347177854609 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013718419853026 0.0 0.0 0.0 0.1578835261766612 0.0018065554785719 0.0 0.0020521968221163 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3822630369e-10 221.130317 161.81267 10.748416 1024 1 878737021097.000191069
Nek5000-flat ANL Theta 1024 1024 1 domain dimension=2.0, Iters=100000.0 1.301 nek5000 empirical 1.301 1 0.4473657846044931 0.0262635211423283 0.0 0.0 0.0 0.1668214328576905 0.0685001839508293 0.0 0.0006025037564728 0.0 0.0 0.0 0.0 0.0575209480590156 0.0197213249028162 0.0 0.0376489274663855 0.0057814011246896 0.1031806077635545 0.0201569919149784 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0201881997519285 0.0 0.0 0.0 0.0836470318699459 0.0058799269740659 0.0 0.0027697183482687 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.8812485121e-10 179.231301 129.922499 10.871733 1024 1 2111859931132.293929483
Nek5000-cache ANL Theta 1024 1024 1 domain dimension=2.0, Iters=100000.0 1.301 nek5000 empirical 1.301 1 0.4437557787412649 0.02588821402289 0.0 0.0 0.0 0.1858820300439539 0.0707635738566587 0.0 0.0006003947118311 0.0 0.0 0.0 0.0 0.0557547660889893 0.0191420041073492 0.0 0.0383347075918336 0.0059082195020349 0.0946374374626316 0.0211571760084847 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0203765984408697 0.0 0.0 0.0 0.0824525453388999 0.0059466064456487 0.0 0.0027423874532422 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.0235063004e-10 183.440885 133.517181 11.058532 1024 1 2149915217133.939798009
Nekbone-ori-flat ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0 1.301 nekbone empirical 1.301 1 0.7489844055106125 0.000626032450534 0.0 0.0 0.0 0.2498636837322727 0.0170033642442139 0.0 2.53064675816e-05 0.0 0.0 0.0 0.0 0.0060534416691344 0.0054578267266416 0.0 0.0006036417556435 0.0005574967008328 0.5217357057902605 0.0018326606438517 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.74588730012e-05 0.0 0.0 0.0 0.0063401909522356 0.0005603893313539 0.0 3.81830083743e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.1954995414e-10 170.829747 116.170253 11.829511 1024 1 2941349045778.983030261
Nekbone-ori-cache ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0 1.301 nekbone empirical 1.301 1 0.7493779149743469 0.0006195996408039 0.0 0.0 0.0 0.2500929328420631 0.0170694208865189 0.0 2.84382906938e-05 0.0 0.0 0.0 0.0 0.0063695976903577 0.005541882960415 0.0 0.0008886720446733 0.0005646463017058 0.5225655536124094 0.0018329547215879 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.85415623565e-05 0.0 0.0 0.0 0.0066561173709937 0.0005655642083708 0.0 4.20638576669e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.1996628257e-10 174.683628 121.73616 12.154535 1024 1 2951342425946.740124158
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=4.0, ckp L2=6.0, ckp L3=8.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.7500911117358959 0.0007016082036074 0.0 0.0 0.0 0.2501581463023 0.0176471496307416 0.0 2.73676850497e-05 0.0 0.0 0.0 0.0 0.0068990080731708 0.0057343203281654 0.0 0.0009970916649421 0.0005920694342452 0.51876249560651 0.0018441195256041 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.92159138727e-05 0.0 0.0 0.0 0.0076487370231151 0.0006293683913214 0.0 7.31160093512e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4266012509e-10 175.299252 119.038087 14.220812 1024 1 2972232373095.969150655
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=5.0, ckp L2=8.0, ckp L3=9.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.7495785631851016 0.0006923247701934 0.0 0.0 0.0 0.2501112423043568 0.0176586993050241 0.0 2.80674562052e-05 0.0 0.0 0.0 0.0 0.007076558690352 0.005781917119821 0.0 0.0010384673980631 0.000623152636421 0.5196538153815708 0.0018443466031968 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.6203373351e-05 0.0 0.0 0.0 0.0069780770320832 0.0005812948032388 0.0 7.02919994639e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4518482392e-10 170.872613 117.714446 12.988093 1024 1 2995276883469.680202019
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=2.0, ckp L2=4.0, ckp L3=6.0, ckp L4=8.0 1.301 nekbone empirical 1.301 1 0.7501602351321611 0.0007001636340357 0.0 0.0 0.0 0.2498906714610106 0.0176670301719116 0.0 2.29722930375e-05 0.0 0.0 0.0 0.0 0.0070686284721782 0.0058100922865756 0.0 0.0035012944970609 0.0006318684546631 0.5131620480980515 0.0018591974211332 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.18854029098e-05 0.0 0.0 0.0 0.0085096436392636 0.0006318220767498 0.0 9.41888337722e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5042289766e-10 168.492832 113.629928 11.122088 1024 1 2976097603050.317882274
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=3.0, ckp L2=5.0, ckp L3=7.0, ckp L4=11.0 1.301 nekbone empirical 1.301 1 0.7510763174712095 0.0007008292035757 0.0 0.0 0.0 0.2497574670111207 0.0175174493407197 0.0 2.77964076635e-05 0.0 0.0 0.0 0.0 0.0072400208200276 0.0058344836110046 0.0 0.0012459495676606 0.0006281246972357 0.5167835487188837 0.0018423834057705 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.18621030605e-05 0.0 0.0 0.0 0.0080775289808175 0.0006268292160386 0.0 8.6554102263e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5608752923e-10 178.519973 122.423879 14.004217 1024 1 2981817256390.935699496
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0 1.301 nekbone empirical 1.301 1 0.7527402516144794 0.0007097993293541 0.0 0.0 0.0 0.2509466085584434 0.018344755520838 0.0 2.63367180338e-05 0.0 0.0 0.0 0.0 0.0079078692895481 0.0060689991001604 0.0 0.0016412620187514 0.0005887989797019 0.5177015773278981 0.0018519806128529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.25389959838e-05 0.0 0.0 0.0 0.0102971259934011 0.0006352706581732 0.0 0.0001252449472417 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.8319030294e-10 174.989505 128.487685 12.107732 1024 1 3000029053194.242297956