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
PMLB ANL BGQ Mira 8192 1024 8 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.2054811517355423 0.0 0.0 0.0096641566932206 0.0118240025273116 0.0 0.0 1.237773729e-07 0.0184963249853317 0.2222337094635834 0.0 0.0 0.0 0.0028095731635431 0.0016494550850559 0.0373248380726502 0.6795635818029256 0.0056370528297752 0.0089074275222115 0.0 0.0 0.0 0.0 0.0002510711128372 0.0202731649807317 0.0 0.0 0.013683819122284 0.0 0.0 0.0565861163584753 0.0 0.0 3.2985074372e-06 0.0 0.0 0.0 0.0 0.0423548963986931 0.0216178507875637 0.0 0.0 0.0 6.5415544557e-10 48.245193 27.969862 7.234701 1024 8 19558910785.878149882
PMLB ANL BGQ Mira 8192 512 16 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1784619768444792 0.0 0.0 0.0071472329908451 0.0113873015475242 0.0 0.0 8.96899428e-08 0.0183076811602558 0.2027864660815047 0.0 0.0 0.0 0.0032754023965318 0.0017820659027921 0.0357608271299731 0.6777398890639841 0.0044646820538542 0.0081615908442095 0.0 0.0 0.0 0.0 0.0002720151099421 0.020719577647009 0.0 0.0 0.0123280507368224 0.0 0.0 0.0416036533438153 0.0 0.0 4.9264626988e-06 0.0 0.0 0.0 0.0 0.0388075771777378 0.0218138125299155 0.0 0.0 0.0 6.6523600995e-10 55.419082 31.948009 10.167713 512 16 26888763885.984521785
PMLB ANL BGQ Mira 8192 256 32 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.157582376152768 0.0 0.0 0.0047091031243689 0.0108282111693301 0.0 0.0 6.11479202e-08 0.0182352395430383 0.1744389743701098 0.0 0.0 0.0 0.0036303685761905 0.0020249855631265 0.0191039077755233 0.7473823992138464 0.0035609092819087 0.0079082062502388 0.0 0.0 0.0 0.0 0.0002882238755994 0.0201854218010842 0.0 0.0 0.0110746647472753 0.0 0.0 0.0273940929098906 0.0 0.0 7.5032496048e-06 0.0 0.0 0.0 0.0 0.0330124356145399 0.0206367947070605 0.0 9.871132e-09 0.0 8.3324195892e-10 58.151962 31.97624 13.368399 256 32 39950387331.845864217
PMLB ANL BGQ Mira 8192 128 64 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1746418078795401 0.0 0.0 0.0034106540100098 0.0121008162298886 0.0 0.0 4.31947614e-08 0.0224346276337043 0.1920712627398255 0.0 0.0 0.0 0.0047216223485079 0.0025886765006917 0.012467115059662 0.7303629958827329 0.0033626841741767 0.0087777217812474 0.0 0.0 0.0 0.0 0.0003994262622399 0.0246082712783909 0.0 0.0 0.0116968685200082 0.0 0.0 0.0188594647643961 0.0 0.0 5.6204021892e-06 0.0 0.0 0.0 0.0 0.0373758016351518 0.0259034716496938 0.0 2.14402958e-08 0.0 7.8402042889e-10 55.872496 32.877518 10.145471 128 64 55759993476.054690001