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 ANL Mira 4096 4096 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 0.3489818591892215 0.0 0.0 0.0001166594453494 0.0347543514719304 0.0 0.0 5.398751993e-06 0.0411637121246183 0.3837002120678671 0.0 0.0 0.0 -0.0055100577175237 0.0040395951730869 0.0205476549033192 0.4883150770471859 0.0048687457754634 0.0009634624428634 0.0 0.0 0.0 0.0 0.0013393926998339 0.0471107367102723 0.0 0.0 0.0044827538878615 0.0 0.0 0.0408248130990507 0.0 0.0 7.98055877924e-05 0.0 0.0 0.0 0.0 0.1016652515308526 0.0496311331678748 0.0 1.1979e-12 0.0 6.2581882828e-10 55.888417 34.819454 7.698024 4096 1 834409511831.378356497