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 P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3264636591873635 0.0129182150894664 0.0042733506445558 0.0 0.0181679057906054 0.0026364763327221 0.0 0.0 0.0552528311119814 0.0 0.0 0.0 0.0 0.0374474378843271 0.0037219715964158 0.0 0.4582056250832224 0.0059571214278057 0.0 0.0 0.0 0.0 0.0 0.0069083932820185 0.0746928178863111 0.0 0.1372411614740123 0.0059571214278057 0.0 0.2334283041119268 0.0 0.0 0.004819164083826 0.0 0.0 0.0 0.0119683595872952 0.0162417102318511 0.0952382706858632 0.043301714885314 0.0 0.0 0.0 1.23366139701e-09 123.456693 72.125984 11.968504 192 64 154155979477.777596541932019322
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3323671933860182 0.0128769324459736 0.0042193861198068 0.0 0.0181485200597242 0.0026225760330908 0.0 0.0 0.0560728197649894 0.0 0.0 0.0 0.0 0.0377459379587533 0.0037349534771326 0.0 0.4540487864627079 0.0059490684448568 0.0 0.0 0.0 0.0 0.0 0.0069219494174805 0.0735161672998961 0.0 0.1388778597490536 0.0059490684448568 0.0 0.2334073839239367 0.0 0.0 0.0049363783631822 0.0 0.0 0.0 0.0123658747049379 0.0165852608247448 0.0963454149900032 0.0434895878657701 0.0 0.0 0.0 1.26618080021e-09 128.405685 77.868217 11.002584 192 64 152786867379.378014459175669829
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3323337476242949 0.0127913912323805 0.0042525492026392 0.0 0.0179369302470055 0.0026410430366184 0.0 0.0 0.0562019034775068 0.0 0.0 0.0 0.0 0.038059404235577 0.0037244639112384 0.0 0.4580511223039668 0.0059093326247982 0.0 0.0 0.0 0.0 0.0 0.0069505034523476 0.0737167552149954 0.0 0.1373848159270855 0.0059093326247982 0.0 0.2323186065386599 0.0 0.0 0.0047568040750916 0.0 0.0 0.0 0.0121828398017961 0.0164353890044354 0.0949922092424952 0.0431929491667714 0.0 0.0 0.0 1.30311451991e-09 131.827848 76.005063 11.0 192 64 151254791492.625629890407718494
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3310580303319575 0.0128494301391553 0.0042225839051812 0.0 0.0178704801518552 0.0026175670730086 0.0 0.0 0.0560169558197182 0.0 0.0 0.0 0.0 0.0379798953171385 0.0037132688736636 0.0 0.452976904495086 0.0059158061285645 0.0 0.0 0.0 0.0 0.0 0.0069530836236995 0.0735209852713894 0.0 0.1378794276859786 0.0059158061285645 0.0 0.2332827437905408 0.0 0.0 0.0047766074244434 0.0 0.0 0.0 0.0122805868239455 0.0165031707291267 0.0957485591235221 0.0435856568499555 0.0 0.0 0.0 1.35178265727e-09 126.179612 73.376214 10.997573 192 64 152311346718.865277161124560253
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.331058022103254 0.0129306205842549 0.0042963166622614 0.0 0.0179290271486896 0.002647604431835 0.0 0.0 0.0560044439132978 0.0 0.0 0.0 0.0 0.0379588504368982 0.0037385735671179 0.0 0.4558435779042164 0.005959660959061 0.0 0.0 0.0 0.0 0.0 0.0070282162403139 0.0737959681886628 0.0 0.1398383404153673 0.005959660959061 0.0 0.2329725334097512 0.0 0.0 0.0048086033391083 0.0 0.0 0.0 0.0122657544996293 0.0165620711618907 0.0952707395355444 0.0433281505366892 0.0 0.0 0.0 1.3782351622e-09 134.928571 80.969048 12.97619 192 64 152286573261.539444999076370249
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3301125910350033 0.0127630574294656 0.0042826933707225 0.0 0.0183065604415545 0.002614227496655 0.0 0.0 0.0557129485174668 0.0 0.0 0.0 0.0 0.0375365072171833 0.003732571362675 0.0 0.4529150372313435 0.00590407093434 0.0 0.0 0.0 0.0 0.0 0.0070111249559859 0.0742511602028489 0.0 0.1394989244157709 0.00590407093434 0.0 0.2346997649831302 0.0 0.0 0.0049099501954234 0.0 0.0 0.0 0.0123677597186544 0.0166504530893769 0.0965096032048851 0.0435869235532607 0.0 0.0 0.0 1.4058469145e-09 132.110855 83.233256 14.018476 192 64 153866940111.991830956926000353
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3620936481893272 0.0094842778849886 0.0033845753227349 0.0 0.0237696499919775 0.002128501042766 0.0 0.0 0.0533870228288219 0.0 0.0 0.0 0.0 0.0296433666740924 0.0053108376644196 0.0 0.3614777361829171 0.0041085785503459 0.0 0.0 0.0 0.0 0.0 0.0057385224338102 0.0797184252692204 0.0 0.171755207064716 0.0041085785503459 0.0 0.2672092746785404 0.0 0.0 0.0043612358141848 0.0 0.0 0.0 0.0078104895888716 0.0111950649116065 0.1148550263828752 0.0556115154683044 0.0 0.0 0.0 1.47044191306e-09 121.842742 77.645161 10.641129 192 64 168539229464.882402486378974598
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.329231197128333 0.0129968799083634 0.0042481078544674 0.0 0.0181703999671491 0.0026234111485821 0.0 0.0 0.0557020756899499 0.0 0.0 0.0 0.0 0.0377814909952715 0.0037819446038998 0.0 0.4553768492728833 0.0060444412678413 0.0 0.0 0.0 0.0 0.0 0.0068930617246078 0.0748262575669962 0.0 0.1388256073213722 0.0060444412678413 0.0 0.2320942274646984 0.0 0.0 0.0048610632134924 0.0 0.0 0.0 0.0121326357291213 0.0163807435835887 0.0955139878646277 0.0434469061247179 0.0 0.0 0.0 1.63300070524e-09 132.117764 79.175649 10.600798 192 64 153105658924.534660172183870282
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3331204919975312 0.0128580825562926 0.0043076639820248 0.0 0.0181216597164821 0.0026285115388611 0.0 0.0 0.0563455655850948 0.0 0.0 0.0 0.0 0.0381978587685403 0.0037588945604444 0.0 0.4544374884653584 0.0059234852404299 0.0 0.0 0.0 0.0 0.0 0.0069320621462994 0.0745430382982172 0.0 0.1381208658721359 0.0059234852404299 0.0 0.2342390549962024 0.0 0.0 0.0048032154316158 0.0 0.0 0.0 0.0123395197197426 0.0166471837017673 0.0956717896586902 0.043526082100102 0.0 0.0 0.0 1.72725024298e-09 127.097514 80.361377 14.001912 192 64 151194265024.065702389645756761
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3331204919975312 0.0128580825562926 0.0043076639820248 0.0 0.0181216597164821 0.0026285115388611 0.0 0.0 0.0563455655850948 0.0 0.0 0.0 0.0 0.0381978587685403 0.0037588945604444 0.0 0.4544374884653584 0.0059234852404299 0.0 0.0 0.0 0.0 0.0 0.0069320621462994 0.0745430382982172 0.0 0.1381208658721359 0.0059234852404299 0.0 0.2342390549962024 0.0 0.0 0.0048032154316158 0.0 0.0 0.0 0.0123395197197426 0.0166471837017673 0.0956717896586902 0.043526082100102 0.0 0.0 0.0 1.72725024298e-09 127.097514 80.361377 14.001912 192 64 151194265024.065702389645756761
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3609891245243567 0.0101632895763995 0.0038765656893743 0.0 0.0235621778582025 0.0023672060282688 0.0 0.0 0.0531544968763324 0.0 0.0 0.0 0.0 0.0296521925934792 0.0054677166112949 0.0 0.4110217673361253 0.004376749520451 0.0 0.0 0.0 0.0 0.0 0.0057598691674412 0.0808602007427519 0.0 0.1713786991921111 0.004376749520451 0.0 0.2645551799006198 0.0 0.0 0.0044026748477944 0.0 0.0 0.0 0.0088058511732118 0.0126824168625862 0.1133138490739552 0.0524971970107897 0.0 0.0 0.0 1.69715382849e-09 125.930435 75.761739 13.838261 192 64 169344629918.261676477832967847
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3290357812782111 0.0129559612926375 0.0042125278945482 0.0 0.0178922462576706 0.0026351883624212 0.0 0.0 0.0556288687432379 0.0 0.0 0.0 0.0 0.0377062404457433 0.0037265944240215 0.0 0.4544376724544207 0.0059657890999998 0.0 0.0 0.0 0.0 0.0 0.006987113852202 0.0736935362281575 0.0 0.1376183922716386 0.0059657890999998 0.0 0.2317540339811728 0.0 0.0 0.0048625151328294 0.0 0.0 0.0 0.0120622891640699 0.0162748170586181 0.0947702241575708 0.0430673355268176 0.0 0.0 0.0 1.91407104427e-09 125.355556 77.782906 11.979487 192 64 153098599906.860812437611683886
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3638749158043825 0.010137903796335 0.0038227906453029 0.0 0.0234417179215713 0.0022319431548155 0.0 0.0 0.0537346633508608 0.0 0.0 0.0 0.0 0.0296943353634306 0.0077674318654843 0.0 0.3628315902741253 0.0043294531233251 0.0 0.0 0.0 0.0 0.0 0.0057447110182042 0.081296130551499 0.0 0.1638520720705109 0.0043294531233251 0.0 0.2748325236413178 0.0 0.0 0.0039166080179932 0.0 0.0 0.0 0.0087194721863359 0.0125422628316388 0.1136023709417409 0.0549789318852856 0.0 0.0 0.0 1.95912734806e-09 118.69863 70.089802 13.774734 192 64 167559684838.796104085456436472
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