MuMMI

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
ftla-rSC13 ANL Mira 512 512 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 1.6 testing_ftdqr.x empirical 1.6 1 0.364887069898135 0.0 0.0 6.31961459546e-05 0.0475453136194125 0.0 0.0 7.941634447e-06 0.0531609622597936 0.3883794787546629 0.0 0.0 0.0 -0.0002104465480693 0.0020688285696197 0.038255636340994 0.521802637207541 0.0064445205273445 0.0005971684133968 0.0 0.0 0.0 0.0 0.0002193270046998 0.0560363341227374 0.0 0.0 0.0066382335134245 0.0 0.0 0.0763175437709606 0.0 0.0 3.62533524709e-05 0.0 0.0 0.0 0.0 0.1086875655491181 0.0383979072510544 0.0 1.996e-13 0.0 6.2521882588e-10 56.616004 35.29842 7.95761 512 1 5002839006962.884832959
ftla-rSC13 ANL Mira 512 512 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 1.6 testing_ftdqr.x empirical 1.6 1 0.363984457864712 0.0 0.0 6.22426199954e-05 0.0472291406271791 0.0 0.0 7.7564260705e-06 0.0528665058419007 0.3875975580805596 0.0 0.0 0.0 -0.0002838828978629 0.0021066343373495 0.0378173857120107 0.5217937537579772 0.0065114169552751 0.0006107705032515 0.0 0.0 0.0 0.0 0.0005144444758714 0.0558175020362834 0.0 0.0 0.0065930525912504 0.0 0.0 0.0754746711575934 0.0 0.0 3.87033784861e-05 0.0 0.0 0.0 0.0 0.1084063249837498 0.0385852412122171 0.0 1.478e-13 0.0 6.2509469996e-10 55.281903 34.761952 6.953898 512 1 6764506538402.229712612
ftla-rSC13 ANL Mira 512 512 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3636587699324732 0.0 0.0 6.12804874042e-05 0.0468888226299199 0.0 0.0 7.6389243132e-06 0.052583827042527 0.3876920350134385 0.0 0.0 0.0 -0.0003957357772517 0.0021668838004495 0.0372779988331875 0.5207172642264423 0.0064538922012389 0.0006127183534111 0.0 0.0 0.0 0.0 0.0005316977298153 0.0556418913799413 0.0 0.0 0.0065408096122119 0.0 0.0 0.0744559797888955 0.0 0.0 4.08269057221e-05 0.0 0.0 0.0 0.0 0.1081848597717068 0.0388790270087315 0.0 1.164e-13 0.0 6.2512966521e-10 55.325874 35.281933 6.584107 512 1 8591063895833.317367646
ftla-rSC13 ANL Mira 512 512 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3631367357778393 0.0 0.0 6.06669048758e-05 0.0466444528552244 0.0 0.0 7.5926099122e-06 0.0523886949644081 0.3873494727393388 0.0 0.0 0.0 -0.0004585645969605 0.0022004299648643 0.0369204355197808 0.5204023280080705 0.0064300996491107 0.0006251154953476 0.0 0.0 0.0 0.0 0.0005445709878424 0.0554891901970327 0.0 0.0 0.0065092368222877 0.0 0.0 0.0737509386834065 0.0 0.0 4.30253783403e-05 0.0 0.0 0.0 0.0 0.1079823541137134 0.0390337234185576 0.0 9.6e-14 0.0 6.2507929619e-10 53.413215 33.682494 6.567832 512 1 10420408970032.695332935
ftla-rSC13 ANL Mira 512 512 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3624820936560605 0.0 0.0 5.98964946384e-05 0.0463125139905979 0.0 0.0 7.5464837605e-06 0.052091198293099 0.3869894863950689 0.0 0.0 0.0 -0.0005500009351673 0.0022469862726028 0.0364461483220126 0.5199280600776716 0.0063868845554463 0.0006345972984932 0.0 0.0 0.0 0.0 0.0005606501467557 0.0552556819530733 0.0 0.0 0.0064623377768383 0.0 0.0 0.0727539420133102 0.0 0.0 4.49986682712e-05 0.0 0.0 0.0 0.0 0.1076910207769861 0.0392544899623744 0.0 8.11e-14 0.0 6.2507654273e-10 57.615635 36.133032 7.920038 512 1 12329998386020.221469462