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 6 6 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.204273903089182 0.0217750548887675 0.018619674610653 0.0 0.0100710160047433 0.0154344849657068 0.0 0.0 0.0273118721307394 0.0 0.0 0.0 0.0 0.0173060758797941 0.001965909684553 0.0 0.2179181291963256 0.0177537292202789 0.0 0.0 0.0 0.0 0.0 0.0039584718034796 0.0360634502569279 0.0 0.0947189057274138 0.0177537292202789 0.0 0.1230549986715249 0.0 0.0 0.0166427746249804 0.0 0.0 0.0 0.0143114305529442 0.0329311051635972 0.0591399747559858 0.0354347680830425 0.0 0.0 0.0 9.30246699909e-09 136.680839 85.359625 12.723794 6 64 366625665464.185936437335300643
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 12 12 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2442582916147574 0.0189908227556169 0.0135896174862953 0.0 0.0125967707645203 0.0116920910126125 0.0 0.0 0.0363041487040236 0.0 0.0 0.0 0.0 0.0237052282564737 0.0024847434164824 0.0 0.2831284944650523 0.0140340003659616 0.0 0.0 0.0 0.0 0.0 0.0048893089051972 0.0479779399205081 0.0 0.1094833194235279 0.0140340003659616 0.0 0.1571385371094807 0.0 0.0 0.0129569396635905 0.0 0.0 0.0 0.0133759898934549 0.0269656073797502 0.0709509676091883 0.0381098327428417 0.0 0.0 0.0 7.5117686428e-09 130.446897 80.213711 12.652298 12 64 256591779466.938297169462978552
Horovod CANDLE P1B2 Benchmark ANL Theta 16 16 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2873317382347235 0.0149166973179032 0.0108400534875292 0.0 0.0177086349393645 0.0094143289658491 0.0 0.0 0.0394238533940792 0.0 0.0 0.0 0.0 0.0214717441714568 0.00584169749638 0.0 0.2734605813500107 0.0103844192119742 0.0 0.0 0.0 0.0 0.0 0.0047536875704852 0.057870529120733 0.0 0.1359262765142775 0.0103844192119742 0.0 0.1994863494931403 0.0 0.0 0.0100400365571036 0.0 0.0 0.0 0.0105915114802598 0.021431564967789 0.0886029881340588 0.0471757901881441 0.0 0.0 0.0 5.27504604588e-09 130.040961 79.903899 12.41985 16 64 240574151952.884943259573244149
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3143123512119035 0.0128870918687008 0.0088006483965844 0.0 0.0193605080034937 0.0073975356156915 0.0 0.0 0.044206954229718 0.0 0.0 0.0 0.0 0.0250366561503194 0.0064109645274124 0.0 0.3099094942968607 0.0082343799094526 0.0 0.0 0.0 0.0 0.0 0.0050387561298528 0.0660186571053156 0.0 0.1443722881079944 0.0082343799094526 0.0 0.2245670308030552 0.0 0.0 0.0082407030656171 0.0 0.0 0.0 0.0100101834548997 0.0188108318514841 0.0956105498885559 0.0457543880218315 0.0 0.0 0.0 5.1489249069e-09 129.883368 83.374949 12.821355 24 64 236399793745.06732913487152026
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3214881408242813 0.0130476504355097 0.0076008154858579 0.0 0.0206136971946904 0.0061951704900459 0.0 0.0 0.0459309855803296 0.0 0.0 0.0 0.0 0.0251758542035496 0.0048171842149415 0.0 0.346510695294263 0.007864475008764 0.0 0.0 0.0 0.0 0.0 0.0047120788070023 0.0679460266969434 0.0 0.1495168351465718 0.007864475008764 0.0 0.2312545932082281 0.0 0.0 0.0079277114426741 0.0 0.0 0.0 0.009684382334457 0.0172851978203149 0.0991115534351995 0.0503670431507767 0.0 0.0 0.0 4.27444087793e-09 129.366337 79.942924 13.937682 32 64 200802670691.204302802473877426
Horovod CANDLE P1B2 Benchmark ANL Theta 48 48 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.336344877903112 0.012075057948051 0.0062993847904081 0.0 0.021480775626711 0.0048263912527211 0.0 0.0 0.0484534839207042 0.0 0.0 0.0 0.0 0.0269522069698168 0.0070757831046148 0.0 0.3685488753207329 0.0066554922456972 0.0 0.0 0.0 0.0 0.0 0.0051209767608504 0.0739319931617227 0.0 0.1563853096847352 0.0066554922456972 0.0 0.2556804257438808 0.0 0.0 0.0060322890961313 0.0 0.0 0.0 0.0093011827899057 0.0156005675803138 0.1039313339658294 0.0478091136771568 0.0 0.0 0.0 3.8359915626e-09 126.053398 74.208738 15.869626 48 64 187819071872.950213980744379857
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.348165496796342 0.0114233063741147 0.0054876934039181 0.0 0.0222344964592776 0.0041068393042367 0.0 0.0 0.0506171227641482 0.0 0.0 0.0 0.0 0.0279492036828659 0.0071016690015227 0.0 0.3348140693035118 0.0059150377476297 0.0 0.0 0.0 0.0 0.0 0.0054851001656353 0.0742498213281203 0.0 0.1611432688276315 0.0059150377476297 0.0 0.2560445594265503 0.0 0.0 0.0053390771771836 0.0 0.0 0.0 0.0091162743462798 0.0146039677501979 0.1075499557514691 0.053110104262212 0.0 0.0 0.0 3.0276335373e-09 124.452622 75.861086 11.850046 64 64 179404392013.833965664600117786
Horovod CANDLE P1B2 Benchmark ANL Theta 96 96 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3572024249873509 0.0108067359846337 0.0047324108371372 0.0 0.0231474414128544 0.0032849685577532 0.0 0.0 0.0522075089029842 0.0 0.0 0.0 0.0 0.0290532814456494 0.0063234416274202 0.0 0.3544170311332205 0.0051583182457455 0.0 0.0 0.0 0.0 0.0 0.0053157836505422 0.076990622111334 0.0 0.16577356030662 0.0051583182457455 0.0 0.2605090823986114 0.0 0.0 0.0048430358262509 0.0 0.0 0.0 0.0087926608089761 0.0135250716461133 0.1110958092851695 0.0543616969212213 0.0 0.0 0.0 2.69219889059e-09 127.759914 79.542337 12.368703 96 64 173124607780.317627799635783818
Horovod CANDLE P1B2 Benchmark ANL Theta 128 128 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3591371591780479 0.0105091103503541 0.0043226170335418 0.0 0.0232761901016075 0.0028151970456335 0.0 0.0 0.0527217023515247 0.0 0.0 0.0 0.0 0.0293157851033618 0.0054865672904712 0.0 0.4013207863676684 0.0047783869074931 0.0 0.0 0.0 0.0 0.0 0.0056695691020122 0.0780226023361764 0.0 0.1602267751626559 0.0047783869074931 0.0 0.2607463397905581 0.0 0.0 0.0047643562500145 0.0 0.0 0.0 0.0086886229616568 0.0130112399951986 0.1114437193372071 0.0499512898717667 0.0 0.0 0.0 2.16146864255e-09 128.278378 78.725676 12.109459 128 64 171148447272.208149851236896909
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 P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3657834024104283 0.0097967802302094 0.0034337511878271 0.0 0.0236543891432029 0.0019201879496836 0.0 0.0 0.0541406875849201 0.0 0.0 0.0 0.0 0.0301395268840555 0.005542381355809 0.0 0.4147173196487487 0.0039318167223318 0.0 0.0 0.0 0.0 0.0 0.0059324603972974 0.0813213315470741 0.0 0.163686320088389 0.0039318167223318 0.0 0.2761320344792627 0.0 0.0 0.003969961820052 0.0 0.0 0.0 0.0085255136430616 0.0119592648308887 0.1140035706892097 0.0549628550329116 0.0 0.0 0.0 1.53900853819e-09 122.139216 68.188235 12.696078 384 64 165514038862.695596439951547999
Horovod CANDLE NT3 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5991310839874605 0.0180501826974004 0.0020711277912226 0.0 0.0304366550485465 0.0010202658342328 0.0 0.0 0.1118341083964543 0.0 0.0 0.0 0.0 0.0811374632999218 0.0071409907795675 0.0 0.1757411193439441 0.0058859937462033 0.0 0.0 0.0 0.0 0.0 0.012187698285996 0.1436988317394115 0.0 0.2206015319943636 0.0058859937462033 0.0 0.4251951590313489 0.0 0.0 0.0047710028357023 0.0 0.0 0.0 0.0173099739119599 0.0193811017031826 0.1594474368348209 0.0638416144252249 0.0 0.0 0.0 5.43704917649e-09 136.184888 92.673726 16.14024 384 64 161839638089.876010592838668636