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 128 128 1 number of iterations=50000.0, Local data size (MB)=16.0 2.301 hdc-ins empirical 2.301 1 0.8270864954385504 0.0143416484097087 0.0131166221047391 0.0 0.0064939874961034 0.3045169953096155 0.0784002202041578 0.0 0.0044362781977551 0.0 0.0162247029081074 0.0069725911304271 0.0207396945547068 0.0561337493352711 0.0332308409401013 0.0 0.0234231187027267 0.0172489123564726 0.7244632041391041 0.015021990076525 0.0083467504783197 0.0163397293717909 0.0143760812009793 0.0065491034158401 0.0164254290344794 0.0 0.0 2.66408137385e-05 0.0 0.0 0.0 0.0820844241270791 0.0250285024909686 0.0 2.22360530872e-05 1.0869824302e-06 0.0 1.03158255419e-05 0.0133529484968619 3.08012735461e-05 2.81843710213e-05 0.0 0.00177470604348 4.4030002577e-10 327.811673 249.895918 62.584626 128 1 1638074555500.383158653