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 8 8 64 learning rate=0.001, batch size=70.0, epochs=8.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5865728383576915 0.0181238807586422 0.0021063577491397 0.0 0.0299850570709074 0.0010243900374038 0.0 0.0 0.1095455494633736 0.0 0.0 0.0 0.0 0.0794289782621785 0.0070137370280357 0.0 0.1762074056889654 0.0059988387214728 0.0 0.0 0.0 0.0 0.0 0.012131803056078 0.1416401380949018 0.0 0.2233039597162136 0.0059988387214728 0.0 0.4283765617740316 0.0 0.0 0.0047341640383901 0.0 0.0 0.0 0.0171123878532477 0.0192187456023873 0.1586333135249496 0.0635508576823305 0.0 0.0 0.0 4.50374073938e-09 138.947721 87.232574 12.22319 8 64 165561233238.893756705923114295
Horovod CANDLE NT3 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=60.0, epochs=8.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5843289657892179 0.0180368521242723 0.0020276832340809 0.0 0.0302390787905344 0.0010185469367107 0.0 0.0 0.1089805321081254 0.0 0.0 0.0 0.0 0.0790207462291949 0.0070422897213285 0.0 0.1755557633775722 0.0059510488872261 0.0 0.0 0.0 0.0 0.0 0.012001069086742 0.1427674635933407 0.0 0.2216335156403962 0.0059510488872261 0.0 0.4289415684473353 0.0 0.0 0.0047283788580254 0.0 0.0 0.0 0.0173951349909652 0.0194228182250461 0.1599595790891253 0.0640808617782744 0.0 0.0 0.0 4.56158214697e-09 149.838838 96.074637 11.351387 8 64 165874140292.003432424158008476
Horovod CANDLE NT3 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=50.0, epochs=8.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5945493387252277 0.0186867960744913 0.0020642418581543 0.0 0.0301328696907343 0.0010355156149993 0.0 0.0 0.1110230649347236 0.0 0.0 0.0 0.0 0.0805150483288327 0.007021185215304 0.0 0.1819794862469819 0.0064566293956137 0.0 0.0 0.0 0.0 0.0 0.0121211822430051 0.1422906258956313 0.0 0.224538229812467 0.0064566293956137 0.0 0.4253911727737478 0.0 0.0 0.0047153844758772 0.0 0.0 0.0 0.0172062275875747 0.0192704694457289 0.1647594378768366 0.0661002459066736 0.0 0.0 0.0 4.71292748448e-09 141.435179 84.696417 12.48013 8 64 162758538620.84925333470128954
Horovod CANDLE NT3 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=40.0, epochs=8.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5853535770997174 0.0180286602480425 0.0020684561425005 0.0 0.0304384511313821 0.0010086074923475 0.0 0.0 0.109352558416638 0.0 0.0 0.0 0.0 0.0793387714589063 0.0070366627444883 0.0 0.1815859556217758 0.0059306673410105 0.0 0.0 0.0 0.0 0.0 0.0120926094537625 0.1436145095472503 0.0 0.2208983825436993 0.0059306673410105 0.0 0.4299171605891068 0.0 0.0 0.004779175019018 0.0 0.0 0.0 0.0172895811894797 0.0193580373319801 0.1579267831719402 0.0631934571826501 0.0 0.0 0.0 4.69178964106e-09 146.530547 98.811576 13.388424 8 64 165591469447.141079067225711379
Horovod CANDLE NT3 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=30.0, epochs=8.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5883977465771791 0.0185392127445565 0.0020224457040855 0.0 0.0297309048983493 0.0009813073582168 0.0 0.0 0.1098567530416189 0.0 0.0 0.0 0.0 0.0796845270178404 0.0073370099202001 0.0 0.1548449819164836 0.0063719829894863 0.0 0.0 0.0 0.0 0.0 0.0126518238030866 0.1405183188432872 0.0 0.2159087942008302 0.0063719829894863 0.0 0.4285773273654466 0.0 0.0 0.0049016412044487 0.0 0.0 0.0 0.0173422793211202 0.0193647250252057 0.158797005422505 0.0637545646396757 0.0 0.0 0.0 4.87922439587e-09 141.024269 92.473553 12.102676 8 64 164590249360.074058052567916277
Horovod CANDLE NT3 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=10.0, epochs=8.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5893684496693916 0.0184796685675343 0.0021317590848209 0.0 0.0305260140071032 0.0010280321057641 0.0 0.0 0.110050243467334 0.0 0.0 0.0 0.0 0.0798231656087956 0.0070100246129276 0.0 0.174363994899656 0.0061838647881095 0.0 0.0 0.0 0.0 0.0 0.0121562749136298 0.1440045352513995 0.0 0.224409274457544 0.0061838647881095 0.0 0.4476338894380935 0.0 0.0 0.0047260236307033 0.0 0.0 0.0 0.016906712326088 0.0190384714109089 0.1609109664765326 0.0645958369598749 0.0 0.0 0.0 5.78847535132e-09 140.90804 84.623226 12.278508 8 64 164309427832.859572471121495635
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2212393335866278 0.0204473480090567 0.0172183923963894 0.0 0.0112489606290578 0.0143108805534762 0.0 0.0 0.0312027971420372 0.0 0.0 0.0 0.0 0.0199539425638313 0.0020430537295729 0.0 0.2508964615715636 0.0165764944537755 0.0 0.0 0.0 0.0 0.0 0.0038698809288771 0.0406295984421886 0.0 0.101139447748431 0.0165764944537755 0.0 0.1352664740013812 0.0 0.0 0.0154198066699525 0.0 0.0 0.0 0.0141038970840561 0.0313222894804455 0.0637294290976108 0.036382946774541 0.0 0.0 0.0 3.28931146767e-09 131.00305 78.299949 14.016777 8 64 298939403174.406225931643532202
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2219708547082186 0.0206121872085637 0.0164431155697629 0.0 0.0113046043577714 0.0143456790869732 0.0 0.0 0.0311367106859699 0.0 0.0 0.0 0.0 0.0198544997529672 0.0020279079404601 0.0 0.2521825133434191 0.0166853967023989 0.0 0.0 0.0 0.0 0.0 0.0039260843018128 0.0408741265711314 0.0 0.1009142812834748 0.0166853967023989 0.0 0.1359696704739794 0.0 0.0 0.0154899723493739 0.0 0.0 0.0 0.0136161291703044 0.0300592447400673 0.0643063875196815 0.0365897765894432 0.0 0.0 0.0 3.42723437867e-09 140.370029 88.277401 10.943744 8 64 300793626901.01618430261881451
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2230645265847197 0.0206968637727171 0.0165047132115006 0.0 0.0111521961320454 0.0144315261782835 0.0 0.0 0.0312834369472072 0.0 0.0 0.0 0.0 0.0201061256093781 0.0020692380510793 0.0 0.2514467551296147 0.0167153620656039 0.0 0.0 0.0 0.0 0.0 0.0039694884085413 0.0408997037870155 0.0 0.1008795529942553 0.0167153620656039 0.0 0.1364053960781686 0.0 0.0 0.0155991906804372 0.0 0.0 0.0 0.0137456141858641 0.0302503273973647 0.0639053116499937 0.0367910114389059 0.0 0.0 0.0 3.75541842791e-09 134.703886 82.368468 11.022331 8 64 298060252801.961652075105743366
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2233355765281244 0.0206766644557466 0.0169493603146797 0.0 0.0112417881899342 0.0142005617863166 0.0 0.0 0.0313613247238078 0.0 0.0 0.0 0.0 0.020032503136457 0.0020622187212225 0.0 0.2498119923958055 0.0166937154106718 0.0 0.0 0.0 0.0 0.0 0.0039913932555736 0.0409264908005863 0.0 0.1009190863684081 0.0166937154106718 0.0 0.1364875225845416 0.0 0.0 0.0154082717063539 0.0 0.0 0.0 0.0139755200136474 0.0309248803283271 0.064795304111153 0.0370550366781835 0.0 0.0 0.0 3.82354249834e-09 135.615485 87.54415 14.127012 8 64 300662156494.690245964622024812
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2221877355451121 0.0204179178980747 0.0163871233064564 0.0 0.0110688061294285 0.0142947646502614 0.0 0.0 0.0311800489716964 0.0 0.0 0.0 0.0 0.0200409568158607 0.0020699496830736 0.0 0.2517586168975034 0.0163878495819006 0.0 0.0 0.0 0.0 0.0 0.0040372440016126 0.0406197943979684 0.0 0.100278687053876 0.0163878495819006 0.0 0.1345340128893004 0.0 0.0 0.0154086808916421 0.0 0.0 0.0 0.0137021649424775 0.0300892882489339 0.0638491298337342 0.0365064156083123 0.0 0.0 0.0 4.137701662e-09 139.998391 92.802092 13.007643 8 64 300317758143.868807523513521019
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2233478998774277 0.020249358683229 0.0163616537815388 0.0 0.0111764922123974 0.0142786412341027 0.0 0.0 0.0313405688547653 0.0 0.0 0.0 0.0 0.0200393828072754 0.0020823682832036 0.0 0.2511890458708429 0.0161486848258321 0.0 0.0 0.0 0.0 0.0 0.0040380680259006 0.0408492516843034 0.0 0.1000764448202048 0.0161486848258321 0.0 0.1366759921157087 0.0 0.0 0.0153745054010716 0.0 0.0 0.0 0.0136910773987809 0.0300527311803197 0.064166229967825 0.0363257675327003 0.0 0.0 0.0 4.43091901564e-09 138.372145 86.345189 12.887683 8 64 301317541866.008754665933427586
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2419187275558892 0.0186056161151962 0.0151124801681663 0.0 0.014570860039508 0.0136895465666357 0.0 0.0 0.0310229317576585 0.0 0.0 0.0 0.0 0.0165588509037223 0.0038620292322006 0.0 0.2353868118546378 0.0148375453571761 0.0 0.0 0.0 0.0 0.0 0.0037668408376146 0.0456144014315463 0.0 0.1173419829885066 0.0148375453571761 0.0 0.1729764502619179 0.0 0.0 0.0143118301980837 0.0 0.0 0.0 0.0116449754788827 0.026757455647049 0.0748564675550852 0.0428679241452764 0.0 0.0 0.0 4.63906372471e-09 141.087594 88.591343 10.005112 8 64 316193401307.867588384826854395
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2209041478814428 0.0205142110589658 0.0168306770696424 0.0 0.0112109739874864 0.0140871908014008 0.0 0.0 0.0309772087906819 0.0 0.0 0.0 0.0 0.0198180450782204 0.0021398651922074 0.0 0.2482396570975335 0.0163598544542661 0.0 0.0 0.0 0.0 0.0 0.0041356683549774 0.0411394773312093 0.0 0.1006247998222642 0.0163598544542661 0.0 0.1364791227199473 0.0 0.0 0.0152622490546388 0.0 0.0 0.0 0.01393924752398 0.0307699245936224 0.0643841487720443 0.03679892536811 0.0 0.0 0.0 5.18154828632e-09 138.058972 89.968464 13.124251 8 64 305998030585.964635013823224806
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2209041478814428 0.0205142110589658 0.0168306770696424 0.0 0.0112109739874864 0.0140871908014008 0.0 0.0 0.0309772087906819 0.0 0.0 0.0 0.0 0.0198180450782204 0.0021398651922074 0.0 0.2482396570975335 0.0163598544542661 0.0 0.0 0.0 0.0 0.0 0.0041356683549774 0.0411394773312093 0.0 0.1006247998222642 0.0163598544542661 0.0 0.1364791227199473 0.0 0.0 0.0152622490546388 0.0 0.0 0.0 0.01393924752398 0.0307699245936224 0.0643841487720443 0.03679892536811 0.0 0.0 0.0 5.18154828632e-09 138.058972 89.968464 13.124251 8 64 305998030585.964635013823224806
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2472672645905496 0.0186811042647468 0.0143868268979073 0.0 0.0147670458605194 0.0127295218494208 0.0 0.0 0.0321506487674928 0.0 0.0 0.0 0.0 0.0171757681060505 0.0032577945769925 0.0 0.2186495122765723 0.0147536469542787 0.0 0.0 0.0 0.0 0.0 0.0039157404714987 0.0459137071599901 0.0 0.1174840621569059 0.0147536469542787 0.0 0.162867480302325 0.0 0.0 0.014657396847617 0.0 0.0 0.0 0.0111758166480914 0.0255626435459987 0.0746827571827822 0.0427762321871438 0.0 0.0 0.0 5.38200687976e-09 132.314925 82.020108 11.133673 8 64 328068358411.079624264370897613
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2208298877372866 0.020329415166653 0.016338730169771 0.0 0.0110993912661857 0.0140958759439688 0.0 0.0 0.0312099817782487 0.0 0.0 0.0 0.0 0.0201028528061499 0.0021913209513519 0.0 0.2526591747280428 0.0160474564117183 0.0 0.0 0.0 0.0 0.0 0.0043004345965007 0.0406990686006769 0.0 0.1005493331310384 0.0160474564117183 0.0 0.1372666353652731 0.0 0.0 0.015255952352812 0.0 0.0 0.0 0.0138115141582892 0.0301502443280602 0.0640102264623323 0.0364222193819091 0.0 0.0 0.0 6.53628349973e-09 129.933948 74.613908 12.334497 8 64 306860228917.985620086377238292
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.251725938677258 0.0187858922263127 0.0147058328480106 0.0 0.0145779139354695 0.0129256658660339 0.0 0.0 0.0329911082092534 0.0 0.0 0.0 0.0 0.0177672180396624 0.0032592325823529 0.0 0.2262191351613915 0.0146104921352332 0.0 0.0 0.0 0.0 0.0 0.0041670782249331 0.0456451012381068 0.0 0.1169264954687753 0.0146104921352332 0.0 0.161452929837368 0.0 0.0 0.0145178712711531 0.0 0.0 0.0 0.0115457941430259 0.0262516269910364 0.0746466179132639 0.0428235784213536 0.0 0.0 0.0 6.82939994456e-09 139.648422 89.544752 10.939901 8 64 341081787845.136368953987216272
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2194627787663067 0.0207273512644837 0.0166780991114403 0.0 0.0109096782919339 0.0138327175341051 0.0 0.0 0.0310046503788925 0.0 0.0 0.0 0.0 0.0200330020614886 0.002276267319605 0.0 0.2449978516098871 0.0162141134855922 0.0 0.0 0.0 0.0 0.0 0.0044790134573959 0.0408182334252496 0.0 0.1003401148749862 0.0162141134855922 0.0 0.1380417823731509 0.0 0.0 0.0150030205929445 0.0 0.0 0.0 0.0141343332338468 0.0308124323452871 0.0638833856054952 0.0364241607858809 0.0 0.0 0.0 8.75919882492e-09 133.426874 85.98702 14.300914 8 64 312171455820.900802130801279553