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 384 384 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3370367441958344 0.0124603629018645 0.0037248979544878 0.0 0.0183284974666035 0.0021164109294467 0.0 0.0 0.0572648308578357 0.0 0.0 0.0 0.0 0.0388282833758558 0.0038613198636761 0.0 0.4677566842306096 0.0054591189739672 0.0 0.0 0.0 0.0 0.0 0.0069966602966517 0.0757213823404941 0.0 0.1386511034630408 0.0054591189739672 0.0 0.2379978889810618 0.0 0.0 0.0044752770732932 0.0 0.0 0.0 0.011969915434707 0.0156948133891948 0.0956532985751683 0.0432334553350304 0.0 0.0 0.0 1.12366797667e-09 128.351351 78.774775 12.936937 384 64 147929990398.593424391532544359
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.33256696611911 0.0126396486554368 0.0037213244630615 0.0 0.0183283287843219 0.0021321917189747 0.0 0.0 0.0566111796593278 0.0 0.0 0.0 0.0 0.0384290076811552 0.0038347268164551 0.0 0.4653050022501307 0.005517302797907 0.0 0.0 0.0 0.0 0.0 0.0071897282190942 0.0756098424044998 0.0 0.1410896098695167 0.005517302797907 0.0 0.2378575684780049 0.0 0.0 0.0044518417442649 0.0 0.0 0.0 0.0120531530893661 0.0157744775524276 0.0962695645987183 0.0434185846693448 0.0 0.0 0.0 1.142767635e-09 130.134111 77.186589 14.037901 384 64 150946465157.809618925723250817
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3327393898203289 0.0125693434574713 0.0037207531303922 0.0 0.0183894642805914 0.0021338466950243 0.0 0.0 0.0565712453610734 0.0 0.0 0.0 0.0 0.0383829685287737 0.0037808292596232 0.0 0.4631587333394393 0.0054527041612954 0.0 0.0 0.0 0.0 0.0 0.0070198938421792 0.0758791921702816 0.0 0.1407298374009207 0.0054527041612954 0.0 0.2367357240635015 0.0 0.0 0.0044030768993365 0.0 0.0 0.0 0.0121783029675418 0.015899056097934 0.0963120907555112 0.0433362507453007 0.0 0.0 0.0 1.16681051474e-09 129.951567 80.156695 10.985755 384 64 150401551737.048241677555110854
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3327393898203289 0.0125693434574713 0.0037207531303922 0.0 0.0183894642805914 0.0021338466950243 0.0 0.0 0.0565712453610734 0.0 0.0 0.0 0.0 0.0383829685287737 0.0037808292596232 0.0 0.4631587333394393 0.0054527041612954 0.0 0.0 0.0 0.0 0.0 0.0070198938421792 0.0758791921702816 0.0 0.1407298374009207 0.0054527041612954 0.0 0.2367357240635015 0.0 0.0 0.0044030768993365 0.0 0.0 0.0 0.0121783029675418 0.015899056097934 0.0963120907555112 0.0433362507453007 0.0 0.0 0.0 1.16681051474e-09 129.951567 80.156695 10.985755 384 64 150401551737.048241677555110854
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3370946993932244 0.0125914651347113 0.0036938606207531 0.0 0.0183390299049714 0.0021225358526417 0.0 0.0 0.0573358248216039 0.0 0.0 0.0 0.0 0.0389032966510602 0.0038145043776822 0.0 0.4637662913493542 0.0054892403759862 0.0 0.0 0.0 0.0 0.0 0.0069658530787127 0.0757468176152682 0.0 0.1386074407911189 0.0054892403759862 0.0 0.2363827212020153 0.0 0.0 0.0044665619597023 0.0 0.0 0.0 0.012066373515087 0.0157602341358401 0.0967616576007966 0.0436058003435662 0.0 0.0 0.0 1.2261980117e-09 126.126374 79.365385 13.255495 384 64 148567514595.32643115930767742
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
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3357242965858507 0.0125439963895873 0.0037386843382602 0.0 0.0182896342835101 0.0021188925454508 0.0 0.0 0.0570285856524003 0.0 0.0 0.0 0.0 0.0386818416894924 0.003816921222622 0.0 0.4621252085297728 0.0054776064422315 0.0 0.0 0.0 0.0 0.0 0.0070511012055781 0.0755453233980705 0.0 0.1396711754103914 0.0054776064422315 0.0 0.2382796548772592 0.0 0.0 0.0044736364469808 0.0 0.0 0.0 0.0121352513870776 0.0158739357253378 0.0968545855952048 0.0437342529557428 0.0 0.0 0.0 1.27348871304e-09 132.652632 78.392105 12.834211 384 64 148958974710.631487953811759054
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3338309668774496 0.0125371884867362 0.0037211126922886 0.0 0.0184456306835775 0.002126734446995 0.0 0.0 0.0567861671720478 0.0 0.0 0.0 0.0 0.0385301091965953 0.0038546996054424 0.0 0.4662349024663743 0.0054617947843988 0.0 0.0 0.0 0.0 0.0 0.0069841292037966 0.0760472721656297 0.0 0.1391213905632288 0.0054617947843988 0.0 0.2372615297023522 0.0 0.0 0.0044212840123445 0.0 0.0 0.0 0.0119839138932641 0.0157050265855527 0.0961684369416418 0.0433096776199938 0.0 0.0 0.0 1.3932524815e-09 123.681055 74.47482 13.745803 384 64 150119363702.708754156272428646
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3726601587463638 0.0098650237173515 0.0033854197178795 0.0 0.0242220608854557 0.0019195378222662 0.0 0.0 0.0549234325157131 0.0 0.0 0.0 0.0 0.0311297080392065 0.0074537906902711 0.0 0.4139762243036018 0.0039904461855737 0.0 0.0 0.0 0.0 0.0 0.0059331438388186 0.0829950038020847 0.0 0.1749230378943704 0.0039904461855737 0.0 0.2778342158823151 0.0 0.0 0.0034861189216787 0.0 0.0 0.0 0.0088641581351608 0.0122495778530402 0.1130866567910006 0.0502354130902125 0.0 0.0 0.0 1.25175758874e-09 121.845977 75.105747 10.505747 384 64 173473632557.384195307578751001
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3361076173932567 0.0125017532924612 0.0036738878510564 0.0 0.0183564863053179 0.0021003448180001 0.0 0.0 0.0571315603028314 0.0 0.0 0.0 0.0 0.0387910155453061 0.0037776004986345 0.0 0.4636452692729721 0.0054775732095498 0.0 0.0 0.0 0.0 0.0 0.0070077810883509 0.0757816673306391 0.0 0.1393444786688896 0.0054775732095498 0.0 0.2366689302807423 0.0 0.0 0.0044026872017172 0.0 0.0 0.0 0.0121440095665371 0.0158178974175935 0.096671875743128 0.0435689522321691 0.0 0.0 0.0 1.47410483914e-09 128.191781 79.926941 14.013699 384 64 148808670303.243462968881764308
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3312805160334313 0.0124356582896457 0.0037224548378301 0.0 0.018171400649179 0.0021246283006387 0.0 0.0 0.0563044916065636 0.0 0.0 0.0 0.0 0.0382209389044284 0.0038297986958417 0.0 0.4678319735742594 0.0054046969440388 0.0 0.0 0.0 0.0 0.0 0.0070743142803516 0.0750986316751332 0.0 0.1398920746013438 0.0054046969440388 0.0 0.2358841807094143 0.0 0.0 0.0044629450521462 0.0 0.0 0.0 0.0120248004285654 0.0157472552663955 0.0963966269540223 0.0434952754863205 0.0 0.0 0.0 1.54237240351e-09 129.045064 82.553648 12.783262 384 64 151094234744.902875625491552206
Horovod CANDLE P1B2 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3686346055076746 0.0086611326037056 0.0034159463829085 0.0 0.023913606106999 0.0019241508215707 0.0 0.0 0.0545915062216633 0.0 0.0 0.0 0.0 0.0303103176328404 0.0077288111864725 0.0 0.3707797137752536 0.0034777053341421 0.0 0.0 0.0 0.0 0.0 0.0059416900258789 0.0809339645092237 0.0 0.1692342256356898 0.0034777053341421 0.0 0.272287222290831 0.0 0.0 0.0035042151946599 0.0 0.0 0.0 0.0085777750651921 0.0119937214481006 0.1170778037772526 0.0565927784793661 0.0 0.0 0.0 1.44677434731e-09 121.930526 72.269474 13.292632 384 64 163915178922.636989867765835595
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=70.0, epochs=384.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5767456860818951 0.0183700419065774 0.0020767278749708 0.0 0.0304216885634371 0.0010302305296566 0.0 0.0 0.10769736892067 0.0 0.0 0.0 0.0 0.0780935341571011 0.0070712765751572 0.0 0.1779157947300316 0.0059640515220533 0.0 0.0 0.0 0.0 0.0 0.012127565463727 0.1434831448938046 0.0 0.2215717657066732 0.0059640515220533 0.0 0.4255432228848478 0.0 0.0 0.0046925226223873 0.0 0.0 0.0 0.0170370645694796 0.0191137924444504 0.1593113595598412 0.0637317243062886 0.0 0.0 0.0 5.14253393999e-09 138.822441 88.492192 14.046848 384 64 168162901420.08895113178404993
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
Horovod CANDLE NT3 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5910871717690319 0.0178937654802443 0.0020975717407637 0.0 0.030682610847263 0.0010272888803993 0.0 0.0 0.110392145622044 0.0 0.0 0.0 0.0 0.0800583262575179 0.0071515790766937 0.0 0.1764468402944107 0.0057967142148636 0.0 0.0 0.0 0.0 0.0 0.0121627583805013 0.1447813328487712 0.0 0.2212100251910452 0.0057967142148636 0.0 0.4281874228340115 0.0 0.0 0.0048193398960884 0.0 0.0 0.0 0.0169993471464469 0.0190969188872106 0.1590961677406637 0.0637155141931279 0.0 0.0 0.0 5.46627931064e-09 144.953553 93.303302 11.016228 384 64 163968105737.915615645285056974
Horovod CANDLE NT3 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=40.0, epochs=384.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5972636467758045 0.0181526332626914 0.002090877363758 0.0 0.0302041189251558 0.0010247902939581 0.0 0.0 0.1115095748482728 0.0 0.0 0.0 0.0 0.0808372586278756 0.0070908773590087 0.0 0.175276675238516 0.0059350913749328 0.0 0.0 0.0 0.0 0.0 0.0122287607917344 0.1425558274923084 0.0 0.2226827270513131 0.0059350913749328 0.0 0.4291277735480372 0.0 0.0 0.0048116955855283 0.0 0.0 0.0 0.0172709688201709 0.019361846183929 0.1605633076400427 0.0643796308956279 0.0 0.0 0.0 5.54169469927e-09 140.827298 89.754875 12.004457 384 64 162137051707.009418571202934647
Horovod CANDLE NT3 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=30.0, epochs=384.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5919246921207357 0.0183342214572128 0.0020433611508855 0.0 0.030109288626777 0.0010358984375537 0.0 0.0 0.1105676513393149 0.0 0.0 0.0 0.0 0.0802071257334332 0.0071855838199463 0.0 0.1747392499546604 0.0059841953232036 0.0 0.0 0.0 0.0 0.0 0.0122365931486786 0.1419964914879005 0.0 0.2253706259640952 0.0059841953232036 0.0 0.4323424323720279 0.0 0.0 0.0047442107476366 0.0 0.0 0.0 0.0172520493453521 0.0192954104962376 0.1586580351008943 0.063456431317947 0.0 0.0 0.0 5.67288425109e-09 134.156926 87.358766 14.97132 384 64 163687640343.019597487135162107
Horovod CANDLE NT3 Benchmark ANL Theta 384 384 64 learning rate=0.001, batch size=10.0, epochs=384.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5868832862079264 0.018090518535481 0.0020827238141784 0.0 0.0300251241235378 0.0010082566627619 0.0 0.0 0.1095581977334403 0.0 0.0 0.0 0.0 0.0794531104534876 0.0070110713883852 0.0 0.1826634608200495 0.0058341476018203 0.0 0.0 0.0 0.0 0.0 0.0122939435250822 0.1418596558592256 0.0 0.2219559228938106 0.0058341476018203 0.0 0.4235183788919247 0.0 0.0 0.0046015191673394 0.0 0.0 0.0 0.017278931362591 0.0193616551767694 0.1608631335369455 0.0644198998886053 0.0 0.0 0.0 1.009097595628e-08 128.908518 76.35093 12.361428 384 64 165109501719.019787100429640506