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 12 12 64 learning rate=0.001, batch size=70.0, epochs=12.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5905599758973704 0.0182352415995998 0.0020665473176776 0.0 0.0302121231873295 0.0010300540371593 0.0 0.0 0.1102832132823528 0.0 0.0 0.0 0.0 0.0800115786302654 0.0070763907693718 0.0 0.1796224632393872 0.0059996603028849 0.0 0.0 0.0 0.0 0.0 0.0121975161388209 0.1427055347503005 0.0 0.2223258963930038 0.0059996603028849 0.0 0.428499066232255 0.0 0.0 0.0047591111679606 0.0 0.0 0.0 0.0169892136591827 0.0190557609768602 0.1579514213796619 0.0633427472912602 0.0 0.0 0.0 4.65994615007e-09 140.004587 88.771953 15.802097 12 64 163704527784.84160875014855856
Horovod CANDLE NT3 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=60.0, epochs=12.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5937973055920216 0.0181804919542728 0.0020780515646049 0.0 0.0306097001459567 0.0010298492397739 0.0 0.0 0.1108768884787699 0.0 0.0 0.0 0.0 0.0804011362171251 0.0070933373746833 0.0 0.1811005102118027 0.0059713096428383 0.0 0.0 0.0 0.0 0.0 0.0121749409654076 0.1446761793854808 0.0 0.2236554906695608 0.0059713096428383 0.0 0.4271194029422438 0.0 0.0 0.0047861367798119 0.0 0.0 0.0 0.017307053877765 0.0193851054423699 0.1585698057438726 0.0637245940876512 0.0 0.0 0.0 4.7167009406e-09 140.156047 91.726918 14.311443 12 64 163026337409.08411241238235735
Horovod CANDLE NT3 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=50.0, epochs=12.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5993306558809934 0.0182162479386154 0.0020776386387958 0.0 0.0303001721494604 0.0010108294186592 0.0 0.0 0.111982837167557 0.0 0.0 0.0 0.0 0.0812314832947612 0.0071252745970445 0.0 0.1792013645035724 0.0059931660193971 0.0 0.0 0.0 0.0 0.0 0.0122441774533844 0.1430579387097882 0.0 0.2237006004696862 0.0059931660193971 0.0 0.4308018362231344 0.0 0.0 0.0047512808497828 0.0 0.0 0.0 0.0170185744428895 0.0190962130816853 0.1578077290003017 0.0632735547203709 0.0 0.0 0.0 4.85662872196e-09 137.652036 87.70229 11.295165 12 64 161833623279.896532500718481173
Horovod CANDLE NT3 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=40.0, epochs=12.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5847809032141257 0.0178985733728161 0.0020838380041405 0.0 0.0302735465869405 0.0010115565634837 0.0 0.0 0.1092286669980563 0.0 0.0 0.0 0.0 0.079215704156627 0.0070327691264416 0.0 0.1782867541657459 0.0058954301016393 0.0 0.0 0.0 0.0 0.0 0.0120861034480551 0.1429936325111031 0.0 0.2203073997322404 0.0058954301016393 0.0 0.4190884398858453 0.0 0.0 0.0046290014631536 0.0 0.0 0.0 0.0172801626917311 0.0193640006958716 0.1587591121884697 0.0635721980889096 0.0 0.0 0.0 4.81866584579e-09 135.272386 86.103319 13.227301 12 64 165557884180.11983387441245809
Horovod CANDLE NT3 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=30.0, epochs=12.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5877901765698914 0.0179383903632154 0.0020140577314275 0.0 0.0306822011650852 0.001018499356914 0.0 0.0 0.1098390067033959 0.0 0.0 0.0 0.0 0.0796770522554947 0.0070537504783518 0.0 0.1813047526258809 0.0058990452433343 0.0 0.0 0.0 0.0 0.0 0.0120764058643971 0.1448379525949758 0.0 0.2248241126304125 0.0058990452433343 0.0 0.4344863480480539 0.0 0.0 0.0046638860311867 0.0 0.0 0.0 0.0175352172563291 0.0195492749877566 0.1597341887796029 0.0641146698068669 0.0 0.0 0.0 4.97501848552e-09 140.215937 89.842457 13.076642 12 64 165165713733.848333401398179254
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2466522991309138 0.0191522868795294 0.0139527946641105 0.0 0.0127564877388424 0.01188059154451 0.0 0.0 0.0366023235710256 0.0 0.0 0.0 0.0 0.023766807815555 0.0024292801572241 0.0 0.2940692369173167 0.0145651519864999 0.0 0.0 0.0 0.0 0.0 0.0045951560869996 0.0477759847249665 0.0 0.1092714000850175 0.0145651519864999 0.0 0.1580325734543523 0.0 0.0 0.0133279665957826 0.0 0.0 0.0 0.0134872304869265 0.027440025151037 0.0718263659048629 0.0385704381058741 0.0 0.0 0.0 3.41585845315e-09 132.615566 83.929245 14.894458 12 64 248126459168.236802558388820807
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2452994101265531 0.0187067003463122 0.013835451174719 0.0 0.0128473713393804 0.0118671989271622 0.0 0.0 0.0364324774503692 0.0 0.0 0.0 0.0 0.0236812374313637 0.0024117627026461 0.0 0.2948400980431861 0.0141457995189152 0.0 0.0 0.0 0.0 0.0 0.0045360216797374 0.0481682120763089 0.0 0.1090765638364904 0.0141457995189152 0.0 0.1563375632708933 0.0 0.0 0.0132231785179451 0.0 0.0 0.0 0.013374341248265 0.027209792422984 0.070690706095653 0.0379730970745324 0.0 0.0 0.0 3.69492389909e-09 130.433062 80.850407 13.997832 12 64 249598265129.93526639837997541
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 NT3 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=10.0, epochs=12.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5960266478408816 0.0183871813907884 0.0020644056771857 0.0 0.0304440813110471 0.0010168920591978 0.0 0.0 0.1112708677571296 0.0 0.0 0.0 0.0 0.0807239409622486 0.0071062392033495 0.0 0.1756131731042745 0.0060106366971864 0.0 0.0 0.0 0.0 0.0 0.0122338694944504 0.1439281205542697 0.0 0.219742651243754 0.0060106366971864 0.0 0.4300249371212961 0.0 0.0 0.0046878575512012 0.0 0.0 0.0 0.0171466179503858 0.0192110236275715 0.1589251596387447 0.0638543091944444 0.0 0.0 0.0 6.09831143431e-09 136.587437 87.952261 15.728643 12 64 163184368118.877027145797966078
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2462269486594168 0.0190869761009201 0.014297049525951 0.0 0.0128087330085742 0.0118493495337553 0.0 0.0 0.0365335297428481 0.0 0.0 0.0 0.0 0.023750568664595 0.0024202607531855 0.0 0.2938492831747153 0.0144575356989991 0.0 0.0 0.0 0.0 0.0 0.0046188464028085 0.0482773592173478 0.0 0.1090453003830282 0.0144575356989991 0.0 0.1570643402687717 0.0 0.0 0.013269396480673 0.0 0.0 0.0 0.0136341073501385 0.0279311568760894 0.0714152618179033 0.038356418150802 0.0 0.0 0.0 4.14925761054e-09 133.473404 87.689072 13.005319 12 64 249174056191.089569311366915242
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.243284849175841 0.0189649564511296 0.014267870059195 0.0 0.012589348230175 0.0116858091355433 0.0 0.0 0.0361540933699766 0.0 0.0 0.0 0.0 0.0236584221191848 0.002427091635888 0.0 0.2943414266789819 0.0143524962831608 0.0 0.0 0.0 0.0 0.0 0.0047086080097406 0.0480028049044482 0.0 0.1084582135112189 0.0143524962831608 0.0 0.1554721532931587 0.0 0.0 0.0132361946021495 0.0 0.0 0.0 0.013498534210218 0.027766404269413 0.0697026189638563 0.0377139389431488 0.0 0.0 0.0 4.28819536344e-09 124.169452 77.931755 12.710306 12 64 251052460011.145466460665074592
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.243792637215877 0.0187735971937085 0.0142701938616491 0.0 0.0127185576054081 0.0117710627779617 0.0 0.0 0.0363471318274705 0.0 0.0 0.0 0.0 0.0236848835280927 0.002457527029278 0.0 0.2967821931494653 0.0140962028861679 0.0 0.0 0.0 0.0 0.0 0.0046914716416959 0.0478456885884413 0.0 0.1086099322192579 0.0140962028861679 0.0 0.1572755700716773 0.0 0.0 0.0131568196406391 0.0 0.0 0.0 0.0135828133339841 0.0278530071956332 0.0707749183846799 0.0380472646499951 0.0 0.0 0.0 4.76196563125e-09 128.522613 80.497906 13.670854 12 64 250693723021.817115933852005791
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2465291427870224 0.0186679418127468 0.0133587343048469 0.0 0.0126770344217169 0.0118095309437032 0.0 0.0 0.036615522589318 0.0 0.0 0.0 0.0 0.0238060907364001 0.0024728288828074 0.0 0.2933175758775446 0.0139400263266888 0.0 0.0 0.0 0.0 0.0 0.0046937251580667 0.0477266731036072 0.0 0.1094720848310037 0.0139400263266888 0.0 0.1568966695421795 0.0 0.0 0.0133805331918247 0.0 0.0 0.0 0.0133095574348868 0.0266682917397337 0.0706139528834733 0.0379297090670444 0.0 0.0 0.0 5.01085624898e-09 135.347272 82.124253 13.994823 12 64 250485142186.127340018953823874
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2443794217450003 0.0190132609117094 0.0141442155025505 0.0 0.0127259904003783 0.0116686505404988 0.0 0.0 0.0362700790302659 0.0 0.0 0.0 0.0 0.0236061357646946 0.0024678531008441 0.0 0.2926779295738989 0.0142984194560405 0.0 0.0 0.0 0.0 0.0 0.0047331905991219 0.0479165035516059 0.0 0.1093476846700466 0.0142984194560405 0.0 0.1565733870740462 0.0 0.0 0.0131457792479427 0.0 0.0 0.0 0.0135040473222614 0.0276482628248119 0.0711197343455986 0.0381788835246456 0.0 0.0 0.0 5.88344123059e-09 135.187983 83.978181 12.046324 12 64 253140676625.854049839934597358
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2443794217450003 0.0190132609117094 0.0141442155025505 0.0 0.0127259904003783 0.0116686505404988 0.0 0.0 0.0362700790302659 0.0 0.0 0.0 0.0 0.0236061357646946 0.0024678531008441 0.0 0.2926779295738989 0.0142984194560405 0.0 0.0 0.0 0.0 0.0 0.0047331905991219 0.0479165035516059 0.0 0.1093476846700466 0.0142984194560405 0.0 0.1565733870740462 0.0 0.0 0.0131457792479427 0.0 0.0 0.0 0.0135040473222614 0.0276482628248119 0.0711197343455986 0.0381788835246456 0.0 0.0 0.0 5.88344123059e-09 135.187983 83.978181 12.046324 12 64 253140676625.854049839934597358
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2425519546283993 0.0185872665239634 0.0135860482339139 0.0 0.0126261612172472 0.0117049330426519 0.0 0.0 0.0360043211102189 0.0 0.0 0.0 0.0 0.0234604096824546 0.0024858024540462 0.0 0.2924945336040632 0.0137902721418616 0.0 0.0 0.0 0.0 0.0 0.0048287941556426 0.0479080830436773 0.0 0.1088824974906662 0.0137902721418616 0.0 0.1571848435569315 0.0 0.0 0.0131274586896007 0.0 0.0 0.0 0.013472661519172 0.027058709753086 0.0707750067988155 0.0380824451507888 0.0 0.0 0.0 6.10126778994e-09 127.052244 81.733654 13.299359 12 64 255683386913.810744768970162624
Horovod CANDLE P1B2 Benchmark ANL Theta 12 12 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2443629991133831 0.0189241160725971 0.0136990969933874 0.0 0.0127969968619653 0.0115821329690094 0.0 0.0 0.0362620312406124 0.0 0.0 0.0 0.0 0.0236352419955336 0.0024563388429882 0.0 0.2944767459148179 0.0141182679005761 0.0 0.0 0.0 0.0 0.0 0.0048174011110623 0.048433571967557 0.0 0.1090807511034842 0.0141182679005761 0.0 0.1558433972697846 0.0 0.0 0.0128250667684118 0.0 0.0 0.0 0.0133597010046102 0.0270587979979976 0.070384660855134 0.037832607406629 0.0 0.0 0.0 6.78961472884e-09 128.222447 78.527047 10.988429 12 64 254587447894.16371487653319458
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 12 12 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2426823994770412 0.0190495175834377 0.0141003490198952 0.0 0.0124533112081076 0.0114580524756682 0.0 0.0 0.0360253331629272 0.0 0.0 0.0 0.0 0.0235472826626525 0.0025594389885583 0.0 0.2878810057973457 0.0140170322355168 0.0 0.0 0.0 0.0 0.0 0.0050212330636835 0.0476203372983171 0.0 0.1082478928113239 0.0140170322355168 0.0 0.1583058033845296 0.0 0.0 0.0129561413878193 0.0 0.0 0.0 0.013675497734571 0.0277758467544662 0.0700876650955817 0.0376665321669854 0.0 0.0 0.0 8.80876886101e-09 120.563788 69.623411 15.267207 12 64 258914064494.876165346467618972