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 128 128 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 1.124213933743154 0.0034351580211545 0.0 0.0 0.0 0.5155924717785946 0.0989240820574683 0.0 0.0003103793179931 0.0 0.0 0.0 0.0 0.0977428956679554 0.0322084539418683 0.0 0.0663277496225295 0.0024272629519054 0.12938853774245 0.0653360655322372 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010010552861943 0.0 0.0 0.0 0.1353974436297948 0.0024545468942365 0.0 0.0026984504371839 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3948799758e-10 246.527344 174.339844 11.205078 128 1 346472375262.969984822
FTLA-rSC13 ANL Theta 128 128 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 1.116348303176214 0.0035231463405653 0.0 0.0 0.0 0.511729965634646 0.0998236003611127 0.0 0.0003173009712829 0.0 0.0 0.0 0.0 0.098536315196138 0.0324214612657938 0.0 0.0658939006348268 0.002484341827101 0.1307145456534369 0.0647759596397266 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010300365502917 0.0 0.0 0.0 0.1357432117580438 0.0024887707723832 0.0 0.0025917574228578 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3750751704e-10 247.263689 177.564841 12.108069 128 1 470720853657.646401798
FTLA-rSC13 ANL Theta 128 128 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 1.109641488161476 0.0035803351103805 0.0 0.0 0.0 0.506724840205058 0.0993661613707114 0.0 0.0003265432285186 0.0 0.0 0.0 0.0 0.0971761704384084 0.0320210801215931 0.0 0.065979256717506 0.0028780960803083 0.1268700229540454 0.0638862397499102 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010634567676526 0.0 0.0 0.0 0.1357480169109469 0.0025281345435541 0.0 0.0027012837686283 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3687500609e-10 246.104612 174.344207 11.069741 128 1 603108431317.482141851
FTLA-rSC13 ANL Theta 128 128 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 1.106202004646121 0.0036579888702638 0.0 0.0 0.0 0.5017314416907989 0.0986755279115959 0.0 0.0003290908984133 0.0 0.0 0.0 0.0 0.0981503377474366 0.0323566931558585 0.0 0.0649395949077002 0.0025498445730591 0.1269615309229561 0.063427216692206 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010846889745108 0.0 0.0 0.0 0.1357001021801694 0.002548610262225 0.0 0.0023541843402166 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3591567015e-10 246.828837 173.669767 12.368372 128 1 730843430593.580763691
FTLA-rSC13 ANL Theta 128 128 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 1.101483530228381 0.0040987301021905 0.0 0.0 0.0 0.4965111048236181 0.1004068170427689 0.0 0.0003219056816211 0.0 0.0 0.0 0.0 0.0988246274553314 0.032763440732495 0.0 0.0659940766888215 0.0025405098136526 0.1295909171769115 0.0610047855988251 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0011005905419291 0.0 0.0 0.0 0.1363286594204992 0.0025375991713907 0.0 0.0019708038290144 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3576436293e-10 250.213509 178.771739 11.641304 128 1 876370219172.120891838