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 64 64 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 1.227106832446063 0.00369160987638 0.0 0.0 0.0 0.6842047971327385 0.0965621519398948 0.0 0.0004054620788673 0.0 0.0 0.0 0.0 0.1136871567201535 0.0450656198133403 0.0 0.070110240605264 0.0028508537332509 0.0669808054391033 0.0987820544610247 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0008056641854867 0.0 0.0 0.0 0.1741590011101005 0.0028440825294113 0.0 0.0033478066767935 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.598748486e-10 275.469242 199.13877 12.223176 64 1 460341971634.511604494
FTLA-rSC13 ANL Theta 64 64 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 1.246952439138894 0.0037482134352128 0.0 0.0 0.0 0.6759299761999872 0.095860089306258 0.0 0.0004161312806968 0.0 0.0 0.0 0.0 0.1129766658644095 0.0448233496253749 0.0 0.0682278508823203 0.0029299791541768 0.0647374194345187 0.0977096997374107 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0008250364881707 0.0 0.0 0.0 0.1691951700003565 0.0029061436196249 0.0 0.0032197526472517 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4252941494e-10 264.207568 185.556757 13.301622 64 1 623113461488.103885675
FTLA-rSC13 ANL Theta 64 64 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 1.233559201780855 0.0047758664037207 0.0 0.0 0.0 0.6748737184906527 0.096329804269016 0.0 0.0004230567670351 0.0 0.0 0.0 0.0 0.1144416129859262 0.0454416361362265 0.0 0.0693989713843855 0.0029628125471617 0.0648186906716608 0.0972570232727923 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0008426735937464 0.0 0.0 0.0 0.1697434991836619 0.0029465162348323 0.0 0.0032961793518128 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4963059019e-10 276.584667 194.508003 11.203875 64 1 791823771291.875220106
FTLA-rSC13 ANL Theta 64 64 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 1.236510227993194 0.0039217574976696 0.0 0.0 0.0 0.6649561718107355 0.0943304774022043 0.0 0.0004170701924729 0.0 0.0 0.0 0.0 0.1173290667501607 0.0468062842062296 0.0 0.0692057441731718 0.0040129334866465 0.0659870287317359 0.0955523615504617 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0009171851305636 0.0 0.0 0.0 0.1666365254719064 0.002998371606828 0.0 0.0033109203376888 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5035603683e-10 277.697982 194.829506 12.961726 64 1 958398868939.769465358
FTLA-rSC13 ANL Theta 64 64 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 1.230830488519688 0.0040261175838814 0.0 0.0 0.0 0.6630370899336885 0.094634930723387 0.0 0.0004492678197217 0.0 0.0 0.0 0.0 0.1146798707233487 0.0455843827251276 0.0 0.0687218247747749 0.0030543436998054 0.0655651469600193 0.095655598138233 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0009410854085397 0.0 0.0 0.0 0.1669707637331048 0.003086115374916 0.0 0.0033154916311918 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5221069568e-10 278.923439 198.308598 12.260895 64 1 1129183732534.080842704