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 16384 16384 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 0.3347703564571047 0.0 0.0 7.33071098678e-05 0.02728092831827 0.0 0.0 2.7418058072e-06 0.0359401386418766 0.3781722498744131 0.0 0.0 0.0 -0.0067471962317064 0.0052967388788073 0.0074447248591886 0.4752773288996268 0.0037644282952717 0.0013074526443527 0.0 0.0 0.0 0.0 0.001574025753667 0.0436143300796793 0.0 0.0 0.0034855630950047 0.0 0.0 0.0146926882028074 0.0 0.0 7.5072292375e-05 0.0 0.0 0.0 0.0 0.0950683481375696 0.0551939187205331 0.0 1.0148e-11 0.0 6.2611048278e-10 55.794413 34.705417 7.691092 16384 1 887060760481.075298185
ftla-rSC13 ANL Mira 16384 16384 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 0.3354362618359316 0.0 0.0 6.64051389673e-05 0.0275344896046965 0.0 0.0 2.5073956512e-06 0.0366446291985244 0.3786255315769433 0.0 0.0 0.0 -0.0063756654529615 0.0053620322170049 0.006765351003644 0.4744602770166441 0.0036757844963517 0.0014326771996326 0.0 0.0 0.0 0.0 0.0015526788231368 0.0442222997874086 0.0 0.0 0.0035297376351255 0.0 0.0 0.0133431335822835 0.0 0.0 8.39683163961e-05 0.0 0.0 0.0 0.0 0.0947269704479264 0.0550462510276638 0.0 6.131e-12 0.0 6.2570367878e-10 55.809714 34.715516 7.699588 16384 1 1306484121355.831929987
ftla-rSC13 ANL Mira 16384 16384 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 0.3350950681034454 0.0 0.0 6.07655857393e-05 0.0276152712233531 0.0 0.0 2.3316314391e-06 0.0370505580866202 0.3782140290288628 0.0 0.0 0.0 -0.0060412889280016 0.005402222116352 0.0062057315336968 0.475168850978879 0.0036285752802271 0.0015111671973202 0.0 0.0 0.0 0.0 0.001534610093946 0.0446522988463845 0.0 0.0 0.0036133490223544 0.0 0.0 0.0122250597612691 0.0 0.0 9.15603583839e-05 0.0 0.0 0.0 0.0 0.0941554600881496 0.0548289111426076 0.0 1.00895e-11 0.0 6.2540424008e-10 56.222749 36.387282 6.356348 16384 1 1785016605991.028573009
ftla-rSC13 ANL Mira 16384 16384 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 0.3347536013561282 0.0 0.0 5.60235871155e-05 0.0278827006513975 0.0 0.0 2.1910216812e-06 0.0374049223377294 0.3779641854043576 0.0 0.0 0.0 -0.0057377228831908 0.0054312185201146 0.0057287359936472 0.4760692905711101 0.0035842309618008 0.0031508461544251 0.0 0.0 0.0 0.0 0.0015104334799373 0.045005003735967 0.0 0.0 0.003653760369528 0.0 0.0 0.0112845865823179 0.0 0.0 9.80876007184e-05 0.0 0.0 0.0 0.0 0.0940428992969126 0.0547893840086546 0.0 1.29027e-11 0.0 6.2541284957e-10 54.99897 33.836969 7.984814 16384 1 2327767816092.905927532
ftla-rSC13 ANL Mira 16384 16384 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 0.3357917120059697 0.0 0.0 5.20753200331e-05 0.0281942843781437 0.0 0.0 2.0806239029e-06 0.0379014163833981 0.3787820687687077 0.0 0.0 0.0 -0.0054846663508604 0.0054513318629205 0.0053341797298055 0.4751621306498114 0.0035173194783071 0.0016306945474954 0.0 0.0 0.0 0.0 0.0015005845737985 0.0457262581312609 0.0 0.0 0.0036410099162027 0.0 0.0 0.0104980732342438 0.0 0.0 0.000103887354821 0.0 0.0 0.0 0.0 0.09366545000466 0.0542844575007314 0.0 1.30029e-11 0.0 6.252381221e-10 55.779335 34.762133 7.636146 16384 1 2925873727685.805804451