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=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2041043926480712 0.0219558059387687 0.0189964187162588 0.0 0.0100600812142483 0.0160968705939519 0.0 0.0 0.0272070630791741 0.0 0.0 0.0 0.0 0.0171956763241051 0.0018382460931785 0.0 0.2197161041282268 0.0183593501490264 0.0 0.0 0.0 0.0 0.0 0.0036421460807033 0.0360354496962922 0.0 0.0944994225764213 0.0183593501490264 0.0 0.1216678693480141 0.0 0.0 0.017148717204191 0.0 0.0 0.0 0.0143150928204335 0.0333115115366922 0.0590039993383869 0.0354718010889472 0.0 0.0 0.0 5.47350560093e-09 136.646891 87.303886 13.995855 6 64 354651440690.984980477115793607
Horovod CANDLE P1B2 Benchmark ANL Theta 6 6 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2041043926480712 0.0219558059387687 0.0189964187162588 0.0 0.0100600812142483 0.0160968705939519 0.0 0.0 0.0272070630791741 0.0 0.0 0.0 0.0 0.0171956763241051 0.0018382460931785 0.0 0.2197161041282268 0.0183593501490264 0.0 0.0 0.0 0.0 0.0 0.0036421460807033 0.0360354496962922 0.0 0.0944994225764213 0.0183593501490264 0.0 0.1216678693480141 0.0 0.0 0.017148717204191 0.0 0.0 0.0 0.0143150928204335 0.0333115115366922 0.0590039993383869 0.0354718010889472 0.0 0.0 0.0 5.47350560093e-09 136.646891 87.303886 13.995855 6 64 354651440690.984980477115793607
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2221877355451121 0.0204179178980747 0.0163871233064564 0.0 0.0110688061294285 0.0142947646502614 0.0 0.0 0.0311800489716964 0.0 0.0 0.0 0.0 0.0200409568158607 0.0020699496830736 0.0 0.2517586168975034 0.0163878495819006 0.0 0.0 0.0 0.0 0.0 0.0040372440016126 0.0406197943979684 0.0 0.100278687053876 0.0163878495819006 0.0 0.1345340128893004 0.0 0.0 0.0154086808916421 0.0 0.0 0.0 0.0137021649424775 0.0300892882489339 0.0638491298337342 0.0365064156083123 0.0 0.0 0.0 4.137701662e-09 139.998391 92.802092 13.007643 8 64 300317758143.868807523513521019
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 16 16 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2592497571486569 0.0178717851992824 0.0125745199894128 0.0 0.0134976300262698 0.0101822374883228 0.0 0.0 0.0397605424320791 0.0 0.0 0.0 0.0 0.0262574102620805 0.002687309209299 0.0 0.3195786813541713 0.0127620460848054 0.0 0.0 0.0 0.0 0.0 0.0050908867241087 0.0524605536374738 0.0 0.1134924881399356 0.0127620460848054 0.0 0.1720348247321482 0.0 0.0 0.0117659173299081 0.0 0.0 0.0 0.0134752637350197 0.0260497837244326 0.0743491204130735 0.0387147667908759 0.0 0.0 0.0 3.56523749858e-09 133.785759 81.877577 11.884447 16 64 224482477904.70203419117993922
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2787768512868654 0.016531995136601 0.0098505131670565 0.0 0.0148917145645231 0.0080390900028202 0.0 0.0 0.0442010553806239 0.0 0.0 0.0 0.0 0.0294470285305828 0.0029607637107434 0.0 0.361124391704248 0.0109453007439745 0.0 0.0 0.0 0.0 0.0 0.0055709182750175 0.0590962113401558 0.0 0.1197726581576347 0.0109453007439745 0.0 0.1891834349684934 0.0 0.0 0.009814815629732 0.0 0.0 0.0 0.012839438591321 0.0226899517583775 0.0798360491733642 0.0397371577426086 0.0 0.0 0.0 3.44170617995e-09 132.147253 80.597802 13.022711 24 64 198194009114.952892479551419647
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2892896405228226 0.015508137187591 0.008811577432281 0.0 0.0156300657313667 0.0067579359421379 0.0 0.0 0.0467060728028261 0.0 0.0 0.0 0.0 0.0312758356128172 0.0031338288797157 0.0 0.3849506551888187 0.0096459954578039 0.0 0.0 0.0 0.0 0.0 0.0059154020463164 0.0627577864015502 0.0 0.1252688293678044 0.0096459954578039 0.0 0.1993361398892291 0.0 0.0 0.0087070577659085 0.0 0.0 0.0 0.0128198269425966 0.0216314043748776 0.0832769362236684 0.0405612840145393 0.0 0.0 0.0 3.22090361932e-09 127.518734 77.027477 11.991674 32 64 186353486766.77272665532458687
Horovod CANDLE P1B2 Benchmark ANL Theta 48 48 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3056761822696445 0.0146728321975184 0.0069826149148928 0.0 0.0164292848166617 0.0052395494964612 0.0 0.0 0.0502439413937407 0.0 0.0 0.0 0.0 0.0338259414891006 0.0033387284524743 0.0 0.4117096851745656 0.0084349038173201 0.0 0.0 0.0 0.0 0.0 0.0062557400671794 0.0664788516057086 0.0 0.1298911562491885 0.0084349038173201 0.0 0.2111411257696675 0.0 0.0 0.0072966083233416 0.0 0.0 0.0 0.0125360150946239 0.0195186300095167 0.0879075430422089 0.0417851982345791 0.0 0.0 0.0 2.2848802739e-09 126.572519 78.103053 12.992366 48 64 171861440393.872534276772899055
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 96 96 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3233857401659851 0.0135312176769873 0.0053419165088077 0.0 0.0173514536414738 0.0035825498708691 0.0 0.0 0.0541947189383666 0.0 0.0 0.0 0.0 0.036673047213583 0.0035958614214209 0.0 0.4363561662245155 0.0068161828021841 0.0 0.0 0.0 0.0 0.0 0.006717488671164 0.071028118980822 0.0 0.1331782822757257 0.0068161828021841 0.0 0.2238804042125187 0.0 0.0 0.0057368870520811 0.0 0.0 0.0 0.0122478279340605 0.0175897444428681 0.0922920724896276 0.0425939988082061 0.0 0.0 0.0 1.85978332562e-09 117.348639 73.277211 12.960884 96 64 158104790998.690683271295475441
Horovod CANDLE P1B2 Benchmark ANL Theta 128 128 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3236979652087738 0.0131512098546944 0.0047190417914497 0.0 0.0178543103436087 0.0031275335115326 0.0 0.0 0.0543401893744202 0.0 0.0 0.0 0.0 0.0365264168404698 0.0036352328779352 0.0 0.4492143582590077 0.0063604545485186 0.0 0.0 0.0 0.0 0.0 0.0067661289834074 0.0722392863249865 0.0 0.1366324748859639 0.0063604545485186 0.0 0.2286208660629281 0.0 0.0 0.0053826778757128 0.0 0.0 0.0 0.0122794672599474 0.0169985090513971 0.0947688982259065 0.043122105203621 0.0 0.0 0.0 1.48728778021e-09 128.770878 77.561028 15.012848 128 64 157777769119.347345464599364525
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=120.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3301125910350033 0.0127630574294656 0.0042826933707225 0.0 0.0183065604415545 0.002614227496655 0.0 0.0 0.0557129485174668 0.0 0.0 0.0 0.0 0.0375365072171833 0.003732571362675 0.0 0.4529150372313435 0.00590407093434 0.0 0.0 0.0 0.0 0.0 0.0070111249559859 0.0742511602028489 0.0 0.1394989244157709 0.00590407093434 0.0 0.2346997649831302 0.0 0.0 0.0049099501954234 0.0 0.0 0.0 0.0123677597186544 0.0166504530893769 0.0965096032048851 0.0435869235532607 0.0 0.0 0.0 1.4058469145e-09 132.110855 83.233256 14.018476 192 64 153866940111.991830956926000353
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