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 128 32 4 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5080410862984724 0.0 0.0 0.0247336761841821 0.0218142106613015 0.0 0.0 3.74536422204e-05 0.0282851593917237 0.5401739820418863 0.0 0.0 0.0 0.002735461661013 0.002454761833935 0.1728488325852938 0.2991238728490166 0.0094890457806605 0.0153567750965307 0.0 0.0 0.0 0.0 6.77785034518e-05 0.0300858381573808 0.0 0.0 0.0249060509937159 0.0 0.0 0.3104806348276664 0.0 0.0 2.69501372282e-05 0.0 0.0 0.0 0.0 0.2094208031794698 0.0403544976770698 0.0 0.0 0.0 8.8835687135e-10 51.170398 30.841774 7.272733 32 4 33813174602.175603468
nekbone ANL BGQ Mira 128 64 2 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5269631267329657 0.0 0.0 0.0261283792097377 0.0218286722975758 0.0 0.0 2.0726924713e-05 0.0274529510185292 0.5586334100189885 0.0 0.0 0.0 0.0032220403714464 0.0019548596794723 0.1864757274168234 0.2796314862269457 0.0101921125403238 0.0159110850986188 0.0 0.0 0.0 0.0 6.3917703351e-05 0.0287363355954064 0.0 0.0 0.0259577662346387 0.0 0.0 0.3387315868993946 0.0 0.0 1.64685212327e-05 0.0 0.0 0.0 0.0 0.2251349460191072 0.0406279176875689 0.0 0.0 0.0 7.7263634231e-10 50.514769 30.23671 7.245186 64 2 60878171818.026865136
nekbone ANL BGQ Mira 128 128 1 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5374768976518776 0.0 0.0 0.0270154039432111 0.021856915744474 0.0 0.0 1.09965773563e-05 0.0270129843916237 0.5673124645321576 0.0 0.0 0.0 0.0034950161098314 0.0016601867740282 0.1946222278691374 0.2675158740303971 0.0105767277154596 0.0161592716493975 0.0 0.0 0.0 0.0 5.97520633412e-05 0.0278266935397995 0.0 0.0 0.0267303481149208 0.0 0.0 0.3564980369622777 0.0 0.0 7.3394215794e-06 0.0 0.0 0.0 0.0 0.2342402366574789 0.0406813177768812 0.0 0.0 0.0 7.0320201756e-10 48.438891 28.641415 6.709656 128 1 115030918541.268469679