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
la ANL Mira 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3667017905835661 0.0 0.0 0.0001097842861038 0.0467893183946881 0.0 0.0 8.8057575062e-06 0.0550440005368018 0.392582514638165 0.0 0.0 0.0 0.001456719110448 0.0024951793707717 0.034504235725334 0.5109504119339435 0.0049190240328925 0.0006898394190583 0.0 0.0 0.0 0.0 2.62990775954e-05 0.058439349480281 0.0 0.0 0.005578622380448 0.0 0.0 0.0687560524190122 0.0 0.0 4.04735869659e-05 0.0 0.0 0.0 0.0 0.107884102541727 0.0396554648551054 0.0 0.0 0.0 6.2567026579e-10 54.143773 33.723042 7.097374 1024 1 922313067365.240182513
ftla ANL Mira 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3668818316168043 0.0 0.0 0.00010765760267 0.0467500525986032 0.0 0.0 7.6903367863e-06 0.0550640862529404 0.3919521836043637 0.0 0.0 0.0 0.001473005546205 0.0025177264581758 0.0343468108916858 0.5102088639423895 0.0056225220329655 0.0007089190841466 0.0 0.0 0.0 0.0 0.0007382002119083 0.0584896708672609 0.0 0.0 0.0055984379455644 0.0 0.0 0.0684560458989461 0.0 0.0 4.43542014732e-05 0.0 0.0 0.0 0.0 0.1081236692973156 0.0398640811749723 0.0 5.343e-13 0.0 6.2553602608e-10 55.670692 34.577299 7.988949 1024 1 1872092503350.450673695
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3657676819129621 0.0 0.0 0.0001056113332626 0.0463576080587329 0.0 0.0 7.3005008224e-06 0.0547059311251844 0.3916828509373693 0.0 0.0 0.0 0.001373788237623 0.0025595147187962 0.0338496539220655 0.510160344532659 0.005467148872434 0.0007360749215628 0.0 0.0 0.0 0.0 0.0006370490785367 0.0581908327914896 0.0 0.0 0.0055695144840432 0.0 0.0 0.0674601706057753 0.0 0.0 4.78457976753e-05 0.0 0.0 0.0 0.0 0.1077133346123518 0.0400403800618966 0.0 3.497e-13 0.0 6.2534744589e-10 57.05759 35.819714 7.871412 1024 1 2859289234731.314175417
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3651294845986472 0.0 0.0 0.0001039653450674 0.0460328820101187 0.0 0.0 7.1115802675e-06 0.054403715716033 0.3913404878079647 0.0 0.0 0.0 0.0012707024986276 0.0026076850515484 0.0333791106548253 0.5096565597355746 0.0054363394619125 0.0007505423590456 0.0 0.0 0.0 0.0 0.0006514678584703 0.0579694680799271 0.0 0.0 0.0055350727967033 0.0 0.0 0.0665230010281018 0.0 0.0 5.09177244655e-05 0.0 0.0 0.0 0.0 0.1074569276819399 0.0402821449140044 0.0 2.581e-13 0.0 6.2525976204e-10 53.049791 32.24723 7.63674 1024 1 3874231268451.640342821
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3646393033702504 0.0 0.0 0.0001021785751179 0.0456491867451912 0.0 0.0 6.9865941211e-06 0.0540588794054975 0.3911498683963799 0.0 0.0 0.0 0.0011223677058315 0.002667999442371 0.0328260948134388 0.5086590536196685 0.005397384720156 0.0007588807489263 0.0 0.0 0.0 0.0 0.0006719203579782 0.0576996550225187 0.0 0.0 0.0054829401610114 0.0 0.0 0.0654267806488467 0.0 0.0 5.36106042725e-05 0.0 0.0 0.0 0.0 0.1072016338755706 0.0406043744802568 0.0 2.028e-13 0.0 6.2518446291e-10 56.120729 35.365013 7.155253 1024 1 4931396744329.882214283
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3638254990993094 0.0 0.0 0.0001010010932133 0.0453675057718309 0.0 0.0 6.9268086425e-06 0.0537892111217075 0.3905361682450686 0.0 0.0 0.0 0.0010489309369292 0.0027008636369501 0.0324581409058852 0.5086571756002811 0.0053776645271627 0.0007712867284394 0.0 0.0 0.0 0.0 0.0006776992159004 0.0574754938877808 0.0 0.0 0.0054728491365887 0.0 0.0 0.064694250314191 0.0 0.0 5.6453570299e-05 0.0 0.0 0.0 0.0 0.1069159910739444 0.0407395231647529 0.0 1.669e-13 0.0 6.2513725658e-10 53.744593 32.253818 8.001952 1024 1 5991287090278.704310079
ftla-rSC13 ANL Mira 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 1.6 testing_ftdqr.x empirical 1.6 1 0.3631496041886311 0.0 0.0 9.94777018813e-05 0.045008658405339 0.0 0.0 6.8661390647e-06 0.0534678876318503 0.3902006332162979 0.0 0.0 0.0 0.0009219366303739 0.0027531648627287 0.0319626165735191 0.5081041692514338 0.0053479066650191 0.0007761682471543 0.0 0.0 0.0 0.0 0.000695532028982 0.0572366203306339 0.0 0.0 0.0054324697138342 0.0 0.0 0.0637005803426466 0.0 0.0 5.89629055986e-05 0.0 0.0 0.0 0.0 0.1066519951741674 0.0410005362127027 0.0 1.407e-13 0.0 6.2514778251e-10 57.743723 36.337194 7.923502 1024 1 7105402839574.090581701