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=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2050235676507283 0.0217364783645865 0.0190497312977381 0.0 0.0101710838954374 0.0160882077324509 0.0 0.0 0.0273295531418865 0.0 0.0 0.0 0.0 0.0172495884417982 0.0018174514494212 0.0 0.21876491224442 0.0181715689519302 0.0 0.0 0.0 0.0 0.0 0.0035342577956328 0.0358134246944859 0.0 0.0945399949422522 0.0181715689519302 0.0 0.1218444395931136 0.0 0.0 0.0171180001419347 0.0 0.0 0.0 0.0142240168954175 0.0332737481931556 0.0593100001006062 0.0358486678664428 0.0 0.0 0.0 4.90992964581e-09 132.333237 75.589818 12.445473 6 64 352033533408.166144494599051013
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 12 12 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2452027431179783 0.0192571412913056 0.0144638794101359 0.0 0.0129171639292653 0.0118165720770593 0.0 0.0 0.0364075122142645 0.0 0.0 0.0 0.0 0.0236609824750339 0.0024060054139423 0.0 0.2972912922090689 0.0146323103369841 0.0 0.0 0.0 0.0 0.0 0.0045885184674514 0.0484908360529205 0.0 0.109359151290612 0.0146323103369841 0.0 0.1570477228490885 0.0 0.0 0.0131804110176534 0.0 0.0 0.0 0.0136339776833987 0.0280978570935346 0.0710850142126372 0.0381595926437545 0.0 0.0 0.0 3.91990089881e-09 129.469689 77.776872 10.928171 12 64 250402116364.211788740223516519
Horovod CANDLE P1B2 Benchmark ANL Theta 16 16 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2602005898564196 0.0177544291927378 0.0125895800213346 0.0 0.0138237271321925 0.0101376925805209 0.0 0.0 0.0398532917949538 0.0 0.0 0.0 0.0 0.0261438698630698 0.0026587794369553 0.0 0.3228452321776031 0.0127438827730555 0.0 0.0 0.0 0.0 0.0 0.0050025773463377 0.0530925490160537 0.0 0.1143784843815632 0.0127438827730555 0.0 0.1710869157916405 0.0 0.0 0.0116915917981246 0.0 0.0 0.0 0.0134913578445298 0.0260809378658644 0.075691072387513 0.0391356257636075 0.0 0.0 0.0 2.99680727061e-09 130.163084 79.970348 13.808747 16 64 225071206818.951211313779201123
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2801359668051468 0.0166647182176337 0.0102146606573425 0.0 0.0147383721375337 0.0080304249025524 0.0 0.0 0.0444037609816351 0.0 0.0 0.0 0.0 0.0295663311235469 0.0029534320400014 0.0 0.3653674768865566 0.0109864394843486 0.0 0.0 0.0 0.0 0.0 0.005557939349771 0.0584462430635233 0.0 0.1204511365971486 0.0109864394843486 0.0 0.1873052622139782 0.0 0.0 0.009747236121323 0.0 0.0 0.0 0.0130033111700245 0.023217971827367 0.0803911302758702 0.0401174870628169 0.0 0.0 0.0 2.93559368102e-09 134.768366 82.490061 12.065687 24 64 196948707083.710685320256957691
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2918010360674518 0.0156182273920482 0.0088036009077654 0.0 0.0155059554999704 0.0067728056822417 0.0 0.0 0.0470480689155586 0.0 0.0 0.0 0.0 0.0313011705306757 0.0031720560781203 0.0 0.3845558328836599 0.0097256332407524 0.0 0.0 0.0 0.0 0.0 0.0058503494415808 0.0621625623542832 0.0 0.1263889332821551 0.0097256332407524 0.0 0.198445422015232 0.0 0.0 0.0087851427123857 0.0 0.0 0.0 0.0128192805742645 0.0216228814820299 0.0836826215466611 0.0407564190461717 0.0 0.0 0.0 2.39706553521e-09 127.246652 80.732143 12.418527 32 64 186495859388.690376180463927534
Horovod CANDLE P1B2 Benchmark ANL Theta 48 48 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3065770588259986 0.0146347503421334 0.0069690562498654 0.0 0.0164371626055302 0.0052651760601071 0.0 0.0 0.0503750351318493 0.0 0.0 0.0 0.0 0.0338946326030966 0.0033493533295154 0.0 0.4089022022800495 0.0083477263614333 0.0 0.0 0.0 0.0 0.0 0.0062211311624522 0.0664399368798377 0.0 0.128781351149892 0.0083477263614333 0.0 0.2105235194146454 0.0 0.0 0.0072759960938965 0.0 0.0 0.0 0.0124539544279584 0.0194230106778237 0.0874609552087451 0.0415604864392113 0.0 0.0 0.0 2.12215047667e-09 129.708564 83.227901 11.175414 48 64 170586515414.332491789049378656
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.312521573707878 0.0141598909867049 0.0061043628251035 0.0 0.0171002768233703 0.0044593250003273 0.0 0.0 0.0517232583701721 0.0 0.0 0.0 0.0 0.0346363198136935 0.0034490547695293 0.0 0.4259258199638984 0.0076868087306366 0.0 0.0 0.0 0.0 0.0 0.0064046612443849 0.0685569518934953 0.0 0.1332708098878538 0.0076868087306366 0.0 0.2177789349343522 0.0 0.0 0.0064592844990152 0.0 0.0 0.0 0.012280013427328 0.0183843762524314 0.0903274375796187 0.0420336175498423 0.0 0.0 0.0 2.44180027386e-09 124.647853 74.209816 15.099387 64 64 166805731558.105641533782049947
Horovod CANDLE P1B2 Benchmark ANL Theta 96 96 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3226169999306774 0.0135538444123211 0.0053226929608615 0.0 0.0174341901954158 0.0035860230209175 0.0 0.0 0.0540581806641586 0.0 0.0 0.0 0.0 0.0365710052334006 0.0035743871459932 0.0 0.4398198317571561 0.0068515248369183 0.0 0.0 0.0 0.0 0.0 0.0067682971979692 0.0714998222736094 0.0 0.1343769489080301 0.0068515248369183 0.0 0.2247026436841468 0.0 0.0 0.0058251417077198 0.0 0.0 0.0 0.0123601017819805 0.017682794742842 0.0919776972991069 0.0424440926522327 0.0 0.0 0.0 1.64096556982e-09 128.572254 81.445087 10.809249 96 64 158123393794.582911866350080786
Horovod CANDLE P1B2 Benchmark ANL Theta 128 128 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3242218304497985 0.0130204281156801 0.0047282310863035 0.0 0.0179336483939485 0.0031062639682035 0.0 0.0 0.0544542982882046 0.0 0.0 0.0 0.0 0.0366334314104145 0.0036308621918978 0.0 0.4439554033107188 0.0063315606375854 0.0 0.0 0.0 0.0 0.0 0.0067873706397494 0.0723919805601651 0.0 0.1370836666051734 0.0063315606375854 0.0 0.2280913353388118 0.0 0.0 0.0053702999386 0.0 0.0 0.0 0.012262973181734 0.0169912042680375 0.0952059960003501 0.0432321329609515 0.0 0.0 0.0 1.37091041735e-09 124.210162 75.032333 11.420323 128 64 157741312826.270938249647257303
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 384 384 64 learning rate=0.001, batch size=140.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.334436866027956 0.0126051177770407 0.0036984394478726 0.0 0.0183658054871718 0.0021151240898946 0.0 0.0 0.0568618285440918 0.0 0.0 0.0 0.0 0.0386004463850764 0.0037881726261126 0.0 0.4660101996711116 0.0054872364993514 0.0 0.0 0.0 0.0 0.0 0.0069749364483984 0.0757197969216609 0.0 0.1416065801930478 0.0054872364993514 0.0 0.2422193700176356 0.0 0.0 0.0044447960611133 0.0 0.0 0.0 0.0122037931396071 0.0159022325874797 0.0954776636783708 0.0431582862256959 0.0 0.0 0.0 1.24829178863e-09 127.593583 77.727273 13.088235 384 64 149626245002.370764333271748216