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 4096 4096 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 0.3466495880293063 0.0 0.0 0.0001114311954317 0.0342089887891912 0.0 0.0 5.0411861045e-06 0.0407659918000373 0.3830966173177504 0.0 0.0 0.0 -0.0054873187073711 0.0041008298539456 0.0196456042768431 0.4891028054905256 0.0046562679448726 0.0010328989454589 0.0 0.0 0.0 0.0 0.0011916274549625 0.0467664249919147 0.0 0.0 0.0044827479723679 0.0 0.0 0.0390251315515313 0.0 0.0 8.34772092504e-05 0.0 0.0 0.0 0.0 0.1005979970939893 0.0496196856962057 0.0 2.2883e-12 0.0 6.2543437902e-10 56.163937 36.056543 6.833261 4096 1 1310660639225.568998047
ftla-rSC13 ANL Mira 4096 4096 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 0.3459958662322602 0.0 0.0 0.0001056907021843 0.0337401395478432 0.0 0.0 4.7855165853e-06 0.0404292172119766 0.3830321481759613 0.0 0.0 0.0 -0.005541576313968 0.0042065771625592 0.0186578201117273 0.4874177810940533 0.004565201533015 0.0010331592331146 0.0 0.0 0.0 0.0 0.0012132709238442 0.0466130443718118 0.0 0.0 0.0043832880546177 0.0 0.0 0.0370137772554864 0.0 0.0 8.5976589583e-05 0.0 0.0 0.0 0.0 0.1003615074565153 0.0501446453185949 0.0 4.8858e-12 0.0 6.2551034223e-10 54.338845 33.64639 7.265612 4096 1 1841708093735.094692393
ftla-rSC13 ANL Mira 4096 4096 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 0.345339866460257 0.0 0.0 0.0001004093413325 0.0332868336659427 0.0 0.0 4.5950620101e-06 0.0402328288548733 0.3827778101959167 0.0 0.0 0.0 -0.0055886481201143 0.0043004423834677 0.0177348533089204 0.4862987745817358 0.004498346296943 0.0010433133746599 0.0 0.0 0.0 0.0 0.0012375385566295 0.0464628942184012 0.0 0.0 0.0042949268355925 0.0 0.0 0.0352365806354754 0.0 0.0 8.79916082816e-05 0.0 0.0 0.0 0.0 0.0999349745932297 0.0505091295317087 0.0 3.7124e-12 0.0 6.2539394062e-10 57.560491 36.663242 7.511358 4096 1 2424462689064.165112921
ftla-rSC13 ANL Mira 4096 4096 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 0.3447107095564305 0.0 0.0 9.62578490467e-05 0.0329713717718907 0.0 0.0 4.4607681363e-06 0.0400777734155968 0.3823745042467199 0.0 0.0 0.0 -0.0055959930771198 0.0043653457112488 0.017006803561482 0.4857183683793628 0.0044364038376506 0.0010591356482661 0.0 0.0 0.0 0.0 0.0012477659820071 0.0463836897715034 0.0 0.0 0.0042486660250707 0.0 0.0 0.0337847224968146 0.0 0.0 9.03733179237e-05 0.0 0.0 0.0 0.0 0.0995931077776306 0.0507681552093661 0.0 4.9388e-12 0.0 6.2529090465e-10 55.140905 34.054581 7.873468 4096 1 3037023465202.901380472
ftla-rSC13 ANL Mira 4096 4096 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 0.3439963376278127 0.0 0.0 9.23876454817e-05 0.032665575697525 0.0 0.0 4.3491522223e-06 0.0398442109772068 0.3819091989832635 0.0 0.0 0.0 -0.0056101743442842 0.0044334169552357 0.0163223520383888 0.4854227781386703 0.0043782790547969 0.0010834103331821 0.0 0.0 0.0 0.0 0.0012604678123686 0.046247684348324 0.0 0.0 0.0042034998975326 0.0 0.0 0.0324195256518034 0.0 0.0 9.24494367488e-05 0.0 0.0 0.0 0.0 0.0992085987368216 0.0509645085151611 0.0 5.681e-12 0.0 6.2527047158e-10 58.329725 37.267646 7.561051 4096 1 3695746829625.138076955