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 512 512 1 number of iterations=50000.0, Local data size (MB)=32.0 2.301 hdc-ins empirical 2.301 1 0.4712699154715093 0.0194800420261503 0.0131859053789791 0.0 0.0060650944189764 0.3994391020387393 0.1081230874229625 0.0 0.0064351421535272 0.0 0.0156936711604289 0.0067010802383392 0.0198964476024355 0.0894536471657576 0.0522911917617793 0.0 0.0357817843809155 0.0275025128820294 0.6786488505244826 0.0183942433139063 0.0080187831156292 0.0146461299587073 0.0181876040424421 0.0107448906901537 0.0152460139944745 0.0 0.0 2.55590757202e-05 0.0 0.0 0.0 0.1606738130601655 0.0238688808323308 0.0 1.06589566838e-05 7.596687114e-07 0.0 3.9945834508e-06 0.0128501986693175 1.44454327892e-05 1.98440112403e-05 0.0 0.0016850288498375 4.4118508482e-10 324.862389 248.046073 61.297717 512 1 3453614320669.182589707