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 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 1.301 testing_ftdqr.x empirical 1.301 1 1.064033115401717 0.003372776287522 0.0 0.0 0.0 0.3518714948957408 0.1297511623320961 0.0 0.0001192659971029 0.0 0.0 0.0 0.0 0.1377390344283393 0.0416142658865514 0.0 0.0955747377224265 0.0013297936290938 0.1305675133313714 0.0166477549168179 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0018770982323926 0.0 0.0 0.0 0.1856163828151921 0.0014305062217556 0.0 0.0023302307884735 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5505351409e-10 197.247458 148.027119 11.772881 1024 1 197002900091.489063637
FTLA-rSC13 ANL Theta 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 1.301 testing_ftdqr.x empirical 1.301 1 1.062296681770121 0.0031454265073097 0.0 0.0 0.0 0.3503751821104573 0.1292744780892519 0.0 0.0001490636285808 0.0 0.0 0.0 0.0 0.1348778718877845 0.0410304967265481 0.0 0.0933935863260931 0.0014510014066665 0.1316462307013051 0.014667939808364 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019676597358783 0.0 0.0 0.0 0.1832594811848373 0.0014265328179903 0.0 0.0023571299186623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4816955379e-10 197.802222 139.504444 14.966667 1024 1 302406124191.877080954
FTLA-rSC13 ANL Theta 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 1.301 testing_ftdqr.x empirical 1.301 1 1.056570647467066 0.0033817677244063 0.0 0.0 0.0 0.3491345003146399 0.1296821443348313 0.0 0.0001438622088328 0.0 0.0 0.0 0.0 0.1332487006754152 0.0407447804337841 0.0 0.0928051572526844 0.0014322255047919 0.1298783130734452 0.0165948880606473 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019659171354906 0.0 0.0 0.0 0.1841266828062117 0.0014321463839158 0.0 0.0023632255490218 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4998874515e-10 196.140187 143.11028 12.007477 1024 1 358302872860.118146268
FTLA-rSC13 ANL Theta 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 1.301 testing_ftdqr.x empirical 1.301 1 1.058326586047272 0.0033415261054573 0.0 0.0 0.0 0.3476484543891092 0.1299346087777897 0.0 0.0001482433953759 0.0 0.0 0.0 0.0 0.1341989438014317 0.041055259994422 0.0 0.092821140746759 0.0014347881217177 0.1293316046078435 0.0161628409295048 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019740706694083 0.0 0.0 0.0 0.1840541710262051 0.0014390790357354 0.0 0.0023512924832538 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4857582096e-10 196.047128 141.359352 12.421208 1024 1 455448957144.740530279
FTLA-rSC13 ANL Theta 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 1.301 testing_ftdqr.x empirical 1.301 1 1.054010539810886 0.0034193847400901 0.0 0.0 0.0 0.3470439650976633 0.1305650541871189 0.0 0.0001424267219159 0.0 0.0 0.0 0.0 0.1340674084723716 0.0410245016246672 0.0 0.0938979584495342 0.0014500728815205 0.1297879429174282 0.0157119913057094 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0020179280294286 0.0 0.0 0.0 0.1850336005630597 0.0014454579834732 0.0 0.0023913388739134 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5112529711e-10 186.11236 136.759051 11.076155 1024 1 535755929867.27332619