MuMMI

Create Training Set

Trainapplication_namesystem_nameprocessorsnum_mpinum_omppninputfrequencyexecutable_namescenariofrequencypapi_tot_cycpapi_tot_inspapi_l1_tcmpapi_l2_tcmpapi_fml_inspapi_br_tknpapi_l2_ldmpapi_l2_stmpapi_fdv_inspapi_br_cnpapi_tot_iispapi_ca_shrpapi_ca_clnpapi_ca_itvpapi_br_ntkpapi_br_msppapi_fp_inspapi_res_stlpapi_l1_ldmpapi_l1_stmpapi_l2_tcwpapi_l2_dcapapi_l2_dcrpapi_l2_dcwpapi_l1_icmpapi_br_inspapi_l1_dchpapi_l1_dcapapi_l1_dcmpapi_l1_tcapapi_l1_icapapi_fp_opspapi_l2_icapapi_tlb_dmpapi_vec_inspapi_l2_dcmpapi_l2_icmpapi_l2_tchpapi_l2_tcapapi_ld_inspapi_sr_inspapi_tlb_impapi_hw_intpapi_l3_tcmnruntimepower_syspower_cpupower_memnum_mpinum_omppnscaling_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
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3657676819129621 0.0 0.0 0.0001056113332626 0.0463576080587329 0.0 0.0 7.3005008224e-06 0.0547059311251844 0.3916828509373693 0.0 0.0 0.0 0.001373788237623 0.0025595147187962 0.0338496539220655 0.510160344532659 0.005467148872434 0.0007360749215628 0.0 0.0 0.0 0.0 0.0006370490785367 0.0581908327914896 0.0 0.0 0.0055695144840432 0.0 0.0 0.0674601706057753 0.0 0.0 4.78457976753e-05 0.0 0.0 0.0 0.0 0.1077133346123518 0.0400403800618966 0.0 3.497e-13 0.0 6.2534744589e-10 57.05759 35.819714 7.871412 1024 1 2859289234731.314175417
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3651294845986472 0.0 0.0 0.0001039653450674 0.0460328820101187 0.0 0.0 7.1115802675e-06 0.054403715716033 0.3913404878079647 0.0 0.0 0.0 0.0012707024986276 0.0026076850515484 0.0333791106548253 0.5096565597355746 0.0054363394619125 0.0007505423590456 0.0 0.0 0.0 0.0 0.0006514678584703 0.0579694680799271 0.0 0.0 0.0055350727967033 0.0 0.0 0.0665230010281018 0.0 0.0 5.09177244655e-05 0.0 0.0 0.0 0.0 0.1074569276819399 0.0402821449140044 0.0 2.581e-13 0.0 6.2525976204e-10 53.049791 32.24723 7.63674 1024 1 3874231268451.640342821
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3646393033702504 0.0 0.0 0.0001021785751179 0.0456491867451912 0.0 0.0 6.9865941211e-06 0.0540588794054975 0.3911498683963799 0.0 0.0 0.0 0.0011223677058315 0.002667999442371 0.0328260948134388 0.5086590536196685 0.005397384720156 0.0007588807489263 0.0 0.0 0.0 0.0 0.0006719203579782 0.0576996550225187 0.0 0.0 0.0054829401610114 0.0 0.0 0.0654267806488467 0.0 0.0 5.36106042725e-05 0.0 0.0 0.0 0.0 0.1072016338755706 0.0406043744802568 0.0 2.028e-13 0.0 6.2518446291e-10 56.120729 35.365013 7.155253 1024 1 4931396744329.882214283
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3638254990993094 0.0 0.0 0.0001010010932133 0.0453675057718309 0.0 0.0 6.9268086425e-06 0.0537892111217075 0.3905361682450686 0.0 0.0 0.0 0.0010489309369292 0.0027008636369501 0.0324581409058852 0.5086571756002811 0.0053776645271627 0.0007712867284394 0.0 0.0 0.0 0.0 0.0006776992159004 0.0574754938877808 0.0 0.0 0.0054728491365887 0.0 0.0 0.064694250314191 0.0 0.0 5.6453570299e-05 0.0 0.0 0.0 0.0 0.1069159910739444 0.0407395231647529 0.0 1.669e-13 0.0 6.2513725658e-10 53.744593 32.253818 8.001952 1024 1 5991287090278.704310079
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3631496041886311 0.0 0.0 9.94777018813e-05 0.045008658405339 0.0 0.0 6.8661390647e-06 0.0534678876318503 0.3902006332162979 0.0 0.0 0.0 0.0009219366303739 0.0027531648627287 0.0319626165735191 0.5081041692514338 0.0053479066650191 0.0007761682471543 0.0 0.0 0.0 0.0 0.000695532028982 0.0572366203306339 0.0 0.0 0.0054324697138342 0.0 0.0 0.0637005803426466 0.0 0.0 5.89629055986e-05 0.0 0.0 0.0 0.0 0.1066519951741674 0.0410005362127027 0.0 1.407e-13 0.0 6.2514778251e-10 57.743723 36.337194 7.923502 1024 1 7105402839574.090581701
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