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
HDC16 SNL Haswell Shepard 32 32 1 number of iterations=50000.0, Local data size (MB)=16.0 2.301 hdc-ins empirical 2.301 1 0.8048553661884504 0.0149876477943305 0.0098025850354629 0.0 0.0061751047797233 0.3193479812507315 0.06872934628537 0.0 0.0033492335130638 0.0 0.0112666303682674 0.0070513139744667 0.0141008806391717 0.1033312927203392 0.0569548589444484 0.0 0.0464805734974342 0.0242008328685043 0.6619333912523733 0.0152587031558812 0.0083675082944537 0.0168154639632247 0.0149052476355593 0.0072487897779704 0.0194231326078413 0.0 0.0 2.38569721714e-05 0.0 0.0 0.0 0.0849689255335051 0.0254688035264279 0.0 6.53577294482e-05 2.355661098e-07 0.0 7.4881188122e-06 0.0101858512938844 2.07993230179e-05 2.99729563939e-05 0.0 0.0017835384649002 4.4026059311e-10 341.879932 264.726772 63.439804 32 1 1596442952195.794810231