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
Heat Distribution Code SNL Haswell Shepard 896 896 1 number of iterations=50000.0, Local data size (MB)=32.0 2.301 hdc-ins empirical 2.301 1 0.8559658619881914 0.0133051599662639 0.0126933919968329 0.0 0.0062761928586723 0.3497411970514494 0.1111212721002178 0.0 0.0043413843227646 0.0 0.0154292060328663 0.0065715196842875 0.0194808588529462 0.0732152699767059 0.0432446417846368 0.0 0.0145624462745901 0.0186750340987451 0.6665770482795125 0.0135602924916329 0.0079080677368943 0.0140421333888233 0.0134379406170945 0.0060487145619629 0.0153239892407777 0.0 0.0 1.7584720055e-05 0.0 0.0 0.0 0.1396439643350812 0.0233538031651989 0.0 2.4021042283e-06 3.169224914e-07 0.0 3.5267353045e-06 0.012503541891621 1.5258027911e-05 1.42485045857e-05 0.0 0.0017692735371844 4.4071122243e-10 328.420557 250.94656 61.9787 896 1 3510396786516.430892694