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 640 640 1 number of iterations=50000.0, Local data size (MB)=32.0 2.301 hdc-ins empirical 2.301 1 0.3656870982715876 0.0148690855881446 0.0140979656652279 0.0 0.0063049466638402 0.3156378553773871 0.0950937410395358 0.0 0.0044437606976288 0.0 0.0156587578698649 0.0067293514982778 0.0198214616439082 0.0135276539008861 0.0093489304285018 0.0 0.0210667584131675 0.0232101128703733 0.6578253472987189 0.0139178528964834 0.0079368284295187 0.0160371677353136 0.013875165282472 0.0064358475586065 0.0155695067499279 0.0 0.0 1.74074859365e-05 0.0 0.0 0.0 0.1104209027202397 0.0236538041185903 0.0 3.0767091522e-06 3.353477043e-07 0.0 4.1299129266e-06 0.0137330498744028 1.35605998582e-05 1.77800147317e-05 0.0 0.0018258641609825 4.4097570559e-10 329.041447 251.687252 61.851212 640 1 3439441687543.147993492