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 64 64 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.31533247360248 0.0140572460929654 0.0061525301675735 0.0 0.0172871300552722 0.004456287878609 0.0 0.0 0.0522086728244718 0.0 0.0 0.0 0.0 0.0349969075741756 0.0035078776170928 0.0 0.426654038946201 0.007611246963937 0.0 0.0 0.0 0.0 0.0 0.0064550502673007 0.0693281095204778 0.0 0.1329676450743938 0.007611246963937 0.0 0.2188865437038083 0.0 0.0 0.0066618434398477 0.0 0.0 0.0 0.0123903322722495 0.018542862439823 0.0911127509084542 0.0423810163980757 0.0 0.0 0.0 1.62805473961e-09 133.001855 81.183673 15.014842 64 64 165356253969.991782369858641931
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3157746007698132 0.0142852098480289 0.0062585193658656 0.0 0.0170479947809991 0.0044542257862391 0.0 0.0 0.0522974771898006 0.0 0.0 0.0 0.0 0.0350203524699828 0.0034325007264653 0.0 0.4266338519018991 0.0077517205607116 0.0 0.0 0.0 0.0 0.0 0.0065354671568116 0.0684021989884879 0.0 0.1342630551788369 0.0077517205607116 0.0 0.2185508155039685 0.0 0.0 0.0064417165147053 0.0 0.0 0.0 0.0125157808712941 0.0187743002371597 0.0904313874226531 0.0420279897628536 0.0 0.0 0.0 1.71080538188e-09 131.85689 80.984099 10.431095 64 64 165371591647.146566550640877039
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3158434422763148 0.0139941372334343 0.0061381542391867 0.0 0.0171869858834463 0.0044952840526669 0.0 0.0 0.0523476986354994 0.0 0.0 0.0 0.0 0.0351180631211027 0.0034355975325895 0.0 0.4241845548537718 0.0075696274824482 0.0 0.0 0.0 0.0 0.0 0.0064340052781084 0.0689722154411177 0.0 0.1329685536859564 0.0075696274824482 0.0 0.2177368352148825 0.0 0.0 0.0065407641821135 0.0 0.0 0.0 0.0124499615684907 0.0185881158076774 0.0906805909611046 0.0421790343691215 0.0 0.0 0.0 1.75541961972e-09 128.299484 80.361446 14.027539 64 64 165286646987.732916621135416417
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3147935705167196 0.0141719536538864 0.0062983874151065 0.0 0.0167709881097303 0.0044988151194192 0.0 0.0 0.0522123444172797 0.0 0.0 0.0 0.0 0.0352153949695444 0.0034946085599842 0.0 0.4220345046272421 0.0076870516476653 0.0 0.0 0.0 0.0 0.0 0.0064618665352412 0.0683707479830895 0.0 0.1326387815742118 0.0076870516476653 0.0 0.2178228869962771 0.0 0.0 0.006692321349053 0.0 0.0 0.0 0.0124765690377618 0.0187749564528683 0.0898267250772838 0.0420791199281516 0.0 0.0 0.0 1.81736226112e-09 129.207705 78.941374 10.018425 64 64 164078122111.016272141395615425
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3121209177772766 0.0142904925375594 0.0062780628232514 0.0 0.0171939767555174 0.0044499005300195 0.0 0.0 0.0516802418245666 0.0 0.0 0.0 0.0 0.0346449669071318 0.0034606872021227 0.0 0.4232438247862424 0.0077019035168919 0.0 0.0 0.0 0.0 0.0 0.0064775815959037 0.0688878475651563 0.0 0.1338107425299316 0.0077019035168919 0.0 0.2189755770594075 0.0 0.0 0.0063866584846898 0.0 0.0 0.0 0.0125480262967623 0.0188260891200137 0.0915070675051974 0.0425492287688412 0.0 0.0 0.0 2.14941250559e-09 124.940361 73.779473 9.993065 64 64 167738238733.767131938723596547
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3462859716617258 0.0102564324961405 0.0055688797599261 0.0 0.0227654359558329 0.0040915606430092 0.0 0.0 0.0502191903349865 0.0 0.0 0.0 0.0 0.0279064515528683 0.0072521555934725 0.0 0.3848718538959477 0.0053651737102131 0.0 0.0 0.0 0.0 0.0 0.0054146949329299 0.0753137482206006 0.0 0.1626924122435308 0.0053651737102131 0.0 0.2494732250654959 0.0 0.0 0.0053244551933939 0.0 0.0 0.0 0.009029170574919 0.0145980503348451 0.1066502075127205 0.0485861162607341 0.0 0.0 0.0 2.0671824118e-09 131.425503 79.022819 13.208054 64 64 180093618190.10035367794144658
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 64 64 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3151993542644434 0.0141075763386954 0.0062704249087616 0.0 0.0171717372548223 0.0044356812127644 0.0 0.0 0.0521636333220299 0.0 0.0 0.0 0.0 0.0349372891589209 0.0034417485113958 0.0 0.4228287175593127 0.0076181772699951 0.0 0.0 0.0 0.0 0.0 0.0064593366892563 0.0689231621646792 0.0 0.1327804659215832 0.0076181772699951 0.0 0.219483458099642 0.0 0.0 0.0064710919397778 0.0 0.0 0.0 0.0124728505823312 0.0187432754910928 0.0910421227681715 0.042286725874297 0.0 0.0 0.0 2.54361458715e-09 126.126928 73.916963 14.151839 64 64 165647573389.683845208876144576
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3151993542644434 0.0141075763386954 0.0062704249087616 0.0 0.0171717372548223 0.0044356812127644 0.0 0.0 0.0521636333220299 0.0 0.0 0.0 0.0 0.0349372891589209 0.0034417485113958 0.0 0.4228287175593127 0.0076181772699951 0.0 0.0 0.0 0.0 0.0 0.0064593366892563 0.0689231621646792 0.0 0.1327804659215832 0.0076181772699951 0.0 0.219483458099642 0.0 0.0 0.0064710919397778 0.0 0.0 0.0 0.0124728505823312 0.0187432754910928 0.0910421227681715 0.042286725874297 0.0 0.0 0.0 2.54361458715e-09 126.126928 73.916963 14.151839 64 64 165647573389.683845208876144576
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3122045011509488 0.0139730194912238 0.0061505480828883 0.0 0.0170947357804363 0.0044616235256856 0.0 0.0 0.0517326713766362 0.0 0.0 0.0 0.0 0.0346932012785197 0.0034689616259145 0.0 0.4232235240776687 0.0074841464882163 0.0 0.0 0.0 0.0 0.0 0.0064515952138498 0.0686118009607224 0.0 0.1324093961413865 0.0074841464882163 0.0 0.2173914883006724 0.0 0.0 0.0064311489644731 0.0 0.0 0.0 0.012414925827632 0.0185654739105203 0.0910190930265526 0.0423161526791905 0.0 0.0 0.0 2.61719288866e-09 130.029647 81.034208 11.599772 64 64 167450610117.003572310936847646
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3427091407373674 0.0102481470671437 0.0055540644496662 0.0 0.0222577718323936 0.0040682277878959 0.0 0.0 0.0498622077890282 0.0 0.0 0.0 0.0 0.0276535558161283 0.0052185555120071 0.0 0.3816836401286956 0.0053343880639223 0.0 0.0 0.0 0.0 0.0 0.0053948029225554 0.0764075547959899 0.0 0.1600766564132098 0.0053343880639223 0.0 0.2532155576119445 0.0 0.0 0.0059127848340082 0.0 0.0 0.0 0.0091372041038681 0.0146912685535343 0.1074891990523014 0.0488742411325869 0.0 0.0 0.0 2.80982077279e-09 124.765336 78.209348 14.63778 64 64 182650083937.704776028758473047
Horovod CANDLE P1B2 Benchmark ANL Theta 64 64 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3136173202944304 0.0140552650971639 0.0062472144840848 0.0 0.0171222423808436 0.0044298453831607 0.0 0.0 0.0519681382619688 0.0 0.0 0.0 0.0 0.0349281389798281 0.0035100362140579 0.0 0.422394599411545 0.0075448783723362 0.0 0.0 0.0 0.0 0.0 0.0065512144162128 0.0687579883432039 0.0 0.1338183511672328 0.0075448783723362 0.0 0.2180319560413266 0.0 0.0 0.0064761724151607 0.0 0.0 0.0 0.0125116516947119 0.0187588661787966 0.0905559280775366 0.0421284645847172 0.0 0.0 0.0 3.25832178503e-09 128.341328 75.860701 13.804428 64 64 166272373554.109183477523452919
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