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 8192 8192 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 0.3437483354286161 0.0 0.0 7.33163182838e-05 0.0319140083987021 0.0 0.0 4.9404155406e-06 0.0424728586508486 0.3838450954796413 0.0 0.0 0.0 -0.0033743084492308 0.0047355936241595 0.0125322139346835 0.4803727740238898 0.002634798024178 0.0007922259712738 0.0 0.0 0.0 0.0 4.73240978172e-05 0.0493037074656146 0.0 0.0 0.0033319852150473 0.0 0.0 0.0248853301528838 0.0 0.0 4.20677441332e-05 0.0 0.0 0.0 0.0 0.0986500442248078 0.0517411999800525 0.0 0.0 0.0 6.2836007416e-10 55.350196 33.606226 8.038403 8192 1 303037544602.991425683