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