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 65536 1024 64 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.2913822530622001 0.0 0.0 0.0107790539155978 0.01937020110138 0.0 0.0 0.0001050015445452 0.0273411867785872 0.3365454253712995 0.0 0.0 0.0 -0.0014777350529501 0.0044454950392863 0.0528545285697665 0.5640299629601759 0.0044962336263761 0.0101737967943142 0.0 0.0 0.0 0.0 8.12371935038e-05 0.0313605204210178 0.0 0.0 0.0146019140713296 0.0 0.0 0.0796407847598063 0.0 0.0 0.0001159974452568 0.0 0.0 0.0 0.0 0.0752839253956424 0.0302279819706582 0.0 1.990504e-09 0.0 6.7128466814e-10 50.070353 27.931973 9.358277 1024 64 12195650204.083923709