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
Nekbone-ori-cache ANL Theta 64 64 1 Element size=256.0, Iters=1000.0 1.301 nekbone empirical 1.301 1 0.7485990692510628 0.000575029634724 0.0 0.0 0.0 0.2498597241559101 0.0167760839542024 0.0 2.70792723263e-05 0.0 0.0 0.0 0.0 0.0059054746379531 0.0054302684063508 0.0 0.0004762474448007 0.0005261901539824 0.5247768981656391 0.0018279694988125 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.03297766304e-05 0.0 0.0 0.0 0.0061583773917884 0.000522937456257 0.0 3.19269417386e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.1900221832e-10 174.201468 123.480114 13.954309 64 1 2937397457458.23667767