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
HDC1 ANL BGQ Mira 512 512 1 number of iterations=50000.0, Local data size (MB)=1.0 1.6 hdc-ins empirical 1.6 1 0.2979488706267799 0.0 0.0 0.0036666114358205 0.0119147621191457 0.0 0.0 0.0 0.012456267760378 0.3012035750435698 0.0 0.0 0.0 0.0001924835600631 0.0002828072573657 0.0257350850588081 0.6875219506551448 0.0020353757213834 0.0081270967920126 0.0 0.0 0.0 0.0 4.56763272666e-05 0.0126293463278489 0.0 0.0 0.0101171562107762 0.0 0.0 0.0257360351394968 0.0 0.0 0.0001533791898075 0.0 0.0 0.0 0.0 0.1106335630084639 0.0174701782201857 0.0 0.0 0.0 6.258701374e-10 54.154739 32.713152 8.076653 512 1 945297106613.478120549