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
Horovod CANDLE NT3 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=70.0, epochs=192.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5890088682772266 0.0183844718308708 0.0020712756949669 0.0 0.0302122318168121 0.0010172263032631 0.0 0.0 0.1100083535677717 0.0 0.0 0.0 0.0 0.0797612858594855 0.0071501558152187 0.0 0.1804776633991912 0.0059760501666444 0.0 0.0 0.0 0.0 0.0 0.0123011371991325 0.1425819239561803 0.0 0.2232284836002971 0.0059760501666444 0.0 0.4305183641731808 0.0 0.0 0.0047110767812858 0.0 0.0 0.0 0.0171404766160938 0.0192117523110606 0.1574371285563737 0.0629176446896887 0.0 0.0 0.0 5.0520244514e-09 137.118001 87.387116 14.164359 192 64 164307887062.971153694998523775
Horovod CANDLE NT3 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=60.0, epochs=192.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5883025553150266 0.0180483059876406 0.0020291562407539 0.0 0.0302358877373937 0.0010339888843167 0.0 0.0 0.1098598014231081 0.0 0.0 0.0 0.0 0.0796966606920753 0.0070563772815145 0.0 0.1734558982672594 0.0058811245440714 0.0 0.0 0.0 0.0 0.0 0.0121600404062217 0.1428283212960695 0.0 0.2194738381635986 0.0058811245440714 0.0 0.4181442955232089 0.0 0.0 0.0046810094111741 0.0 0.0 0.0 0.0173370208516331 0.0193661770923871 0.1581741331905564 0.0632612727108559 0.0 0.0 0.0 5.11958895716e-09 136.040213 84.392076 13.054406 192 64 164887381401.861637575936770267
Horovod CANDLE NT3 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=50.0, epochs=192.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5951429986781389 0.0181392388328279 0.0020425208121598 0.0 0.0304737134691884 0.0010179970570243 0.0 0.0 0.1111935740517013 0.0 0.0 0.0 0.0 0.0806990695622221 0.0069677412724954 0.0 0.1765786637388806 0.0059346318704699 0.0 0.0 0.0 0.0 0.0 0.0122696947506905 0.143806961035541 0.0 0.2229455281873003 0.0059346318704699 0.0 0.4313758934719648 0.0 0.0 0.0046184246027885 0.0 0.0 0.0 0.0173459071885543 0.0193884280007141 0.1598373114524573 0.0639192532827492 0.0 0.0 0.0 5.21774188312e-09 134.944803 82.914269 13.523194 192 64 162939538030.890221296961226751
Horovod CANDLE NT3 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=40.0, epochs=192.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5958244281288763 0.0180411637433469 0.0020210131150708 0.0 0.0304233487053847 0.0010212970767795 0.0 0.0 0.1112566731750016 0.0 0.0 0.0 0.0 0.080669848223879 0.0071086459147302 0.0 0.1722810991959351 0.0058574880976781 0.0 0.0 0.0 0.0 0.0 0.0123180527071441 0.1435814713022369 0.0 0.2228636740369765 0.0058574880976781 0.0 0.4261610814074024 0.0 0.0 0.0046813173403322 0.0 0.0 0.0 0.0173976720662797 0.0194186851813505 0.159916946914061 0.0639771591166721 0.0 0.0 0.0 5.25010073156e-09 141.019253 89.401984 12.039673 192 64 162740500361.052085840028967614
Horovod CANDLE NT3 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=30.0, epochs=192.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5876634441803954 0.0181701556924425 0.0020925800476272 0.0 0.0302540471892613 0.0010193058617109 0.0 0.0 0.1097725479867248 0.0 0.0 0.0 0.0 0.0796410510331543 0.0070983857954342 0.0 0.1802077228971548 0.0059410091657275 0.0 0.0 0.0 0.0 0.0 0.0122648365485617 0.1428700753088612 0.0 0.2238546563226117 0.0059410091657275 0.0 0.4304531944595956 0.0 0.0 0.0047019060076796 0.0 0.0 0.0 0.0170212283127206 0.0191138083603477 0.1587496400594836 0.0635207333733367 0.0 0.0 0.0 5.40166245736e-09 142.232493 96.443697 13.004482 192 64 165161423365.951333006118919755
Horovod CANDLE NT3 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=10.0, epochs=192.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5841035019440456 0.0179914698244791 0.0020409850023394 0.0 0.0302226756988424 0.0010267781720128 0.0 0.0 0.109060863427912 0.0 0.0 0.0 0.0 0.0791408949389494 0.0069563244863794 0.0 0.1672199812748371 0.0059113982654295 0.0 0.0 0.0 0.0 0.0 0.0121895008730723 0.1426658794939812 0.0 0.2231632979395483 0.0059113982654295 0.0 0.4256370779515855 0.0 0.0 0.0046895763716443 0.0 0.0 0.0 0.0174622992541944 0.0195032842565339 0.1570435320867716 0.0629756236572057 0.0 0.0 0.0 9.57251528801e-09 133.026084 82.289441 11.711816 192 64 166177846170.95074014556021387