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 16384 16384 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 0.3323962790476261 0.0 0.0 8.35691733555e-05 0.0269608168088772 0.0 0.0 3.5115788118e-06 0.0348645001991207 0.3737103101005625 0.0 0.0 0.0 -0.0073812936480111 0.0051693588720758 0.0083752949642607 0.4785005512700156 0.0024085211321808 0.000798388199762 0.0 0.0 0.0 0.0 0.0001089479316463 0.0425770093582023 0.0 0.0 0.0031128380794255 0.0 0.0 0.0165474278220541 0.0 0.0 5.58738770384e-05 0.0 0.0 0.0 0.0 0.0955558417582496 0.0551658477889824 0.0 0.0 0.0 6.2697335123e-10 54.332722 34.141488 6.869321 16384 1 262210474619.824138008