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 Theta 256 256 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 1.094983744434788 0.0039149096194462 0.0 0.0 0.0 0.462813716806685 0.1087242285722188 0.0 0.000310171177616 0.0 0.0 0.0 0.0 0.1093220900507672 0.0355976026816607 0.0 0.0736438190763748 0.0025691659427565 0.1288105789094515 0.0507519370573754 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013578952598684 0.0 0.0 0.0 0.1493456578443103 0.0025598148895305 0.0 0.0023032503635016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3871202596e-10 235.285303 172.498559 11.878963 256 1 234993692940.636853417
FTLA-rSC13 ANL Theta 256 256 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 1.088125691166884 0.0040052974503017 0.0 0.0 0.0 0.4579188249962827 0.1075663672634662 0.0 0.0003248869395158 0.0 0.0 0.0 0.0 0.1088775457973493 0.0354826624620677 0.0 0.0738980611595373 0.0025765504326377 0.1284241126830082 0.050108388522404 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014048306062571 0.0 0.0 0.0 0.1493394423432439 0.0025906482258602 0.0 0.0023949265984138 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3971689963e-10 233.397872 165.940426 12.23617 256 1 318424087806.858154097
FTLA-rSC13 ANL Theta 256 256 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 1.105005396588748 0.003441347518423 0.0 0.0 0.0 0.4557028763018656 0.1097908745922832 0.0 0.0002700517683747 0.0 0.0 0.0 0.0 0.1080558867114913 0.03525687381064 0.0 0.0740204089621256 0.002444303379008 0.1371340258707349 0.0338270799653677 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00105662779713 0.0 0.0 0.0 0.1712942411561812 0.0026051504897944 0.0 0.0025670900303097 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3478973344e-10 226.223629 165.445851 11.860759 256 1 484416425272.58443999
FTLA-rSC13 ANL Theta 256 256 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 1.076156571393546 0.0040435183294445 0.0 0.0 0.0 0.4542773556090484 0.1098876783638403 0.0 0.0003219889269696 0.0 0.0 0.0 0.0 0.1100289926390722 0.0358120976139183 0.0 0.0745307444110584 0.0026413967562216 0.1291152159487163 0.0487275027140913 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014223330535923 0.0 0.0 0.0 0.1499593495302829 0.0026501609645822 0.0 0.0023208437579453 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3592769161e-10 228.68984 163.510695 12.602941 256 1 508728087376.285269717
FTLA-rSC13 ANL Theta 256 256 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 1.080096788950049 0.0041891479688045 0.0 0.0 0.0 0.4478982874037598 0.1100407155824324 0.0 0.0003119305578448 0.0 0.0 0.0 0.0 0.1114648827302315 0.0362665407672511 0.0 0.0738639605368346 0.0025763734104455 0.1277678194970641 0.0476979806331329 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014537077961329 0.0 0.0 0.0 0.1513125483960533 0.0025853332727881 0.0 0.0020885185408181 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3716128125e-10 236.756322 172.786207 11.77931 256 1 590506389947.484779132