MuMMI

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
nekbone ANL BGQ Mira 64 32 2 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5271014757658531 0.0 0.0 0.0262616895724537 0.0218308280059739 0.0 0.0 2.09092062233e-05 0.0275031124391775 0.5596202802417978 0.0 0.0 0.0 0.0032346534063041 0.0019456249284791 0.1872546237585127 0.2790485786154334 0.0102164655480211 0.0159087226421908 0.0 0.0 0.0 0.0 6.32842778699e-05 0.0286029019174506 0.0 0.0 0.0261108859905266 0.0 0.0 0.3403004951518631 0.0 0.0 1.49150890665e-05 0.0 0.0 0.0 0.0 0.2253069461784293 0.0404160684249311 0.0 0.0 0.0 7.7186321379e-10 51.18073 30.7295 7.408063 32 2 60675467055.930778017
nekbone ANL BGQ Mira 64 64 1 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5361093096078208 0.0 0.0 0.0270318304769018 0.021853548796666 0.0 0.0 1.09502214267e-05 0.0269441860515403 0.5667342036215333 0.0 0.0 0.0 0.0035045441127788 0.001654112673108 0.1948504698203308 0.2678227553955126 0.0105362592069675 0.0160464533362684 0.0 0.0 0.0 0.0 5.89117740052e-05 0.0277689272299609 0.0 0.0 0.0264539942573399 0.0 0.0 0.3564793305490714 0.0 0.0 8.4836263539e-06 0.0 0.0 0.0 0.0 0.2338677641003531 0.0405736990897603 0.0 0.0 0.0 6.3189850602e-10 50.371574 30.071846 7.275465 64 1 115197202250.856494279