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-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=4.0, ckp L2=6.0, ckp L3=8.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.7500911117358959 0.0007016082036074 0.0 0.0 0.0 0.2501581463023 0.0176471496307416 0.0 2.73676850497e-05 0.0 0.0 0.0 0.0 0.0068990080731708 0.0057343203281654 0.0 0.0009970916649421 0.0005920694342452 0.51876249560651 0.0018441195256041 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.92159138727e-05 0.0 0.0 0.0 0.0076487370231151 0.0006293683913214 0.0 7.31160093512e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4266012509e-10 175.299252 119.038087 14.220812 1024 1 2972232373095.969150655
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=5.0, ckp L2=8.0, ckp L3=9.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.7495785631851016 0.0006923247701934 0.0 0.0 0.0 0.2501112423043568 0.0176586993050241 0.0 2.80674562052e-05 0.0 0.0 0.0 0.0 0.007076558690352 0.005781917119821 0.0 0.0010384673980631 0.000623152636421 0.5196538153815708 0.0018443466031968 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.6203373351e-05 0.0 0.0 0.0 0.0069780770320832 0.0005812948032388 0.0 7.02919994639e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4518482392e-10 170.872613 117.714446 12.988093 1024 1 2995276883469.680202019
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=2.0, ckp L2=4.0, ckp L3=6.0, ckp L4=8.0 1.301 nekbone empirical 1.301 1 0.7501602351321611 0.0007001636340357 0.0 0.0 0.0 0.2498906714610106 0.0176670301719116 0.0 2.29722930375e-05 0.0 0.0 0.0 0.0 0.0070686284721782 0.0058100922865756 0.0 0.0035012944970609 0.0006318684546631 0.5131620480980515 0.0018591974211332 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.18854029098e-05 0.0 0.0 0.0 0.0085096436392636 0.0006318220767498 0.0 9.41888337722e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5042289766e-10 168.492832 113.629928 11.122088 1024 1 2976097603050.317882274
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=3.0, ckp L2=5.0, ckp L3=7.0, ckp L4=11.0 1.301 nekbone empirical 1.301 1 0.7510763174712095 0.0007008292035757 0.0 0.0 0.0 0.2497574670111207 0.0175174493407197 0.0 2.77964076635e-05 0.0 0.0 0.0 0.0 0.0072400208200276 0.0058344836110046 0.0 0.0012459495676606 0.0006281246972357 0.5167835487188837 0.0018423834057705 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.18621030605e-05 0.0 0.0 0.0 0.0080775289808175 0.0006268292160386 0.0 8.6554102263e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5608752923e-10 178.519973 122.423879 14.004217 1024 1 2981817256390.935699496
Nekbone-fti ANL Theta 1024 1024 1 Element size=256.0, Iters=1000.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0 1.301 nekbone empirical 1.301 1 0.7527402516144794 0.0007097993293541 0.0 0.0 0.0 0.2509466085584434 0.018344755520838 0.0 2.63367180338e-05 0.0 0.0 0.0 0.0 0.0079078692895481 0.0060689991001604 0.0 0.0016412620187514 0.0005887989797019 0.5177015773278981 0.0018519806128529 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.25389959838e-05 0.0 0.0 0.0 0.0102971259934011 0.0006352706581732 0.0 0.0001252449472417 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.8319030294e-10 174.989505 128.487685 12.107732 1024 1 3000029053194.242297956