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 32 32 1 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5376668946350438 0.0 0.0 0.0271519991933566 0.0218539329324037 0.0 0.0 1.10431669651e-05 0.0269281188033673 0.5680509324439129 0.0 0.0 0.0 0.0035175147923461 0.001639771400342 0.1960788202776055 0.2657022016386834 0.0106428506270127 0.0161971407120255 0.0 0.0 0.0 0.0 5.68643201357e-05 0.0277842523796001 0.0 0.0 0.0267845149542867 0.0 0.0 0.3567503465150012 0.0 0.0 7.7190523088e-06 0.0 0.0 0.0 0.0 0.2352951115410938 0.0405568449059644 0.0 0.0 0.0 7.0200270726e-10 50.320861 29.882553 7.346024 32 1 114565287524.187602946