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 24 24 64 learning rate=0.001, batch size=160.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2800900239179746 0.0164856972071774 0.0097917496353221 0.0 0.0148977931035701 0.0079917604605481 0.0 0.0 0.0444527121614962 0.0 0.0 0.0 0.0 0.0294419301741472 0.0028901870900609 0.0 0.3610426229317433 0.0109556404645645 0.0 0.0 0.0 0.0 0.0 0.0054679097806255 0.0582010209233354 0.0 0.1196998826957486 0.0109556404645645 0.0 0.1882068386687804 0.0 0.0 0.0096805096006589 0.0 0.0 0.0 0.0127405749587506 0.0225323245940727 0.0811375421125342 0.0400029681495994 0.0 0.0 0.0 2.63270471228e-09 123.174832 76.786744 14.204611 24 64 197657624333.167473430918183217
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=150.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2792299259250157 0.016485411001795 0.009949425888544 0.0 0.0150396873251766 0.0080145100096343 0.0 0.0 0.0443041037998606 0.0 0.0 0.0 0.0 0.0293429271265505 0.0029563985685463 0.0 0.3584684662022631 0.0109343016486794 0.0 0.0 0.0 0.0 0.0 0.0055490886529216 0.0588419887197392 0.0 0.1220192860554018 0.0109343016486794 0.0 0.1869268224825588 0.0 0.0 0.0096960718403771 0.0 0.0 0.0 0.0130375347481531 0.0229869606366971 0.0810681427764755 0.0400851838856619 0.0 0.0 0.0 2.83609647175e-09 129.450266 83.194494 14.703375 24 64 198434958615.04979850832184584
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 24 24 64 learning rate=0.001, batch size=130.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.28108477690608 0.0162908629690463 0.0101545794160336 0.0 0.0150082513892762 0.0080322954285523 0.0 0.0 0.0445067320837095 0.0 0.0 0.0 0.0 0.0294567477879688 0.0029405573815194 0.0 0.3603899893371647 0.0107796630712298 0.0 0.0 0.0 0.0 0.0 0.0055785348831755 0.0585702501832942 0.0 0.1210615943620828 0.0107796630712298 0.0 0.1901146789346241 0.0 0.0 0.0097182407299052 0.0 0.0 0.0 0.0130218124429692 0.0231763918590027 0.0811632453765828 0.0401228366224299 0.0 0.0 0.0 3.3809522538e-09 124.908955 79.756716 12.680597 24 64 198168623128.871232094534703364
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 24 24 64 learning rate=0.001, batch size=100.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3090525105094654 0.0126731365746937 0.0088488184684984 0.0 0.0198406230415854 0.0067977870318316 0.0 0.0 0.0435250996069222 0.0 0.0 0.0 0.0 0.0238310088137852 0.0053977024721017 0.0 0.3276213525352649 0.0082553710359102 0.0 0.0 0.0 0.0 0.0 0.0046276254534201 0.0670858049104066 0.0 0.1446458653260953 0.0082553710359102 0.0 0.2305421241676046 0.0 0.0 0.0086191436453932 0.0 0.0 0.0 0.009856231424445 0.0187050498929434 0.09603180844695 0.0495592070258713 0.0 0.0 0.0 3.67565757753e-09 126.042921 76.519539 12.319667 24 64 212258554705.816375344562549567
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=110.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2783391569451484 0.0163160576904416 0.0101620550586857 0.0 0.0150155585646693 0.0079551287577226 0.0 0.0 0.0440750948165517 0.0 0.0 0.0 0.0 0.0291961690466003 0.0029150070685682 0.0 0.3596303339751669 0.0107868306120864 0.0 0.0 0.0 0.0 0.0 0.0055436215492505 0.0588191043778061 0.0 0.120789781062346 0.0107868306120864 0.0 0.1878512556301289 0.0 0.0 0.0095972543373147 0.0 0.0 0.0 0.0130263585149267 0.0231884135736123 0.0805316865378059 0.0397578462295293 0.0 0.0 0.0 3.89689498505e-09 122.782886 79.091315 13.41507 24 64 200892264483.220449620568612146
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2803709279825753 0.0164727241456062 0.0101129203594818 0.0 0.0148916531745776 0.0079633423781636 0.0 0.0 0.0444778836179596 0.0 0.0 0.0 0.0 0.0294877237891882 0.0029606513642559 0.0 0.3598244001128892 0.0108093195820851 0.0 0.0 0.0 0.0 0.0 0.0056099326686788 0.0582408638041032 0.0 0.1206600505003548 0.0108093195820851 0.0 0.1876971219447584 0.0 0.0 0.0096827671405283 0.0 0.0 0.0 0.0129552316550739 0.0230681520145557 0.0809682462151511 0.0401852473912574 0.0 0.0 0.0 3.96080328378e-09 130.304514 83.033694 12.021615 24 64 198507791644.133496977202912594
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2803709279825753 0.0164727241456062 0.0101129203594818 0.0 0.0148916531745776 0.0079633423781636 0.0 0.0 0.0444778836179596 0.0 0.0 0.0 0.0 0.0294877237891882 0.0029606513642559 0.0 0.3598244001128892 0.0108093195820851 0.0 0.0 0.0 0.0 0.0 0.0056099326686788 0.0582408638041032 0.0 0.1206600505003548 0.0108093195820851 0.0 0.1876971219447584 0.0 0.0 0.0096827671405283 0.0 0.0 0.0 0.0129552316550739 0.0230681520145557 0.0809682462151511 0.0401852473912574 0.0 0.0 0.0 3.96080328378e-09 130.304514 83.033694 12.021615 24 64 198507791644.133496977202912594
Horovod CANDLE NT3 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=60.0, epochs=24.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5905696369405977 0.0183196573409144 0.0020066548681068 0.0 0.0302834668789588 0.0010248021656386 0.0 0.0 0.1102837611807162 0.0 0.0 0.0 0.0 0.0799836693098817 0.0070488489708714 0.0 0.1779992093509856 0.0060377436739552 0.0 0.0 0.0 0.0 0.0 0.0123066176750544 0.142925646002961 0.0 0.2241739944407496 0.0060377436739552 0.0 0.4309611505142707 0.0 0.0 0.0047405366354621 0.0 0.0 0.0 0.0174927442101862 0.019499399078293 0.1594671219518183 0.0639111825600766 0.0 0.0 0.0 4.79257833379e-09 134.162008 80.878653 14.675349 24 64 164176799668.033788663846823546
Horovod CANDLE NT3 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=50.0, epochs=24.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5933102305700378 0.0180615708043187 0.0020852682000698 0.0 0.0303738016053014 0.0010208848360736 0.0 0.0 0.1107614763579251 0.0 0.0 0.0 0.0 0.0803019286732581 0.0070216144961227 0.0 0.1812415175444181 0.0060133032313259 0.0 0.0 0.0 0.0 0.0 0.0120958172720236 0.1433484670499131 0.0 0.2233748389119663 0.0060133032313259 0.0 0.4258481611188983 0.0 0.0 0.0046975182457557 0.0 0.0 0.0 0.0173395085204018 0.0194247767204716 0.1596069042646069 0.0638499001962934 0.0 0.0 0.0 4.93826486965e-09 136.67205 87.024224 12.020497 24 64 162997305783.852994710741092377
Horovod CANDLE NT3 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=40.0, epochs=24.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5842742256472907 0.0182996962238048 0.0020730358412446 0.0 0.0302057007923636 0.0010208396428486 0.0 0.0 0.1091984233152396 0.0 0.0 0.0 0.0 0.0791799690386209 0.007100684210565 0.0 0.1795500560903828 0.0060200343148798 0.0 0.0 0.0 0.0 0.0 0.0119407805960876 0.1427321088079718 0.0 0.2202436584471433 0.0060200343148798 0.0 0.4316928178846588 0.0 0.0 0.0046830867955294 0.0 0.0 0.0 0.0172593399283905 0.0193323757696351 0.1589381536512135 0.063818306586668 0.0 0.0 0.0 4.84478578769e-09 135.44052 81.218711 10.099133 24 64 166427890588.83208688989366457
Horovod CANDLE NT3 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=70.0, epochs=24.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.583771671409029 0.0179276754018809 0.0020607417916687 0.0 0.0301771657375992 0.0010310682243878 0.0 0.0 0.1090269877962271 0.0 0.0 0.0 0.0 0.0790890118033824 0.0069819968805544 0.0 0.179949561157999 0.0058893770971119 0.0 0.0 0.0 0.0 0.0 0.0121058454288734 0.142494504381162 0.0 0.2230951388452581 0.0058893770971119 0.0 0.4301304689070348 0.0 0.0 0.0046970524047557 0.0 0.0 0.0 0.0171369432522241 0.0191976850438927 0.1599789973490535 0.0643080236122764 0.0 0.0 0.0 4.90286462362e-09 137.420664 92.038745 12.108856 24 64 165702422841.966464354890019181
Horovod CANDLE NT3 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=30.0, epochs=24.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5849038640526565 0.0180607447984097 0.002065088994094 0.0 0.0302158332427239 0.0010220044392165 0.0 0.0 0.1093098552755647 0.0 0.0 0.0 0.0 0.0792704490673442 0.0070769921515533 0.0 0.1771674725933533 0.0059449873183444 0.0 0.0 0.0 0.0 0.0 0.0119605332202767 0.1426513525163674 0.0 0.2223583283734444 0.0059449873183444 0.0 0.4289691735251547 0.0 0.0 0.0047310002150733 0.0 0.0 0.0 0.0170773770405158 0.0191424660346098 0.1614431339797705 0.0647009823712008 0.0 0.0 0.0 5.05950347562e-09 140.709178 87.622765 13.358164 24 64 165738368011.940581152105412811
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=80.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3150583436829628 0.0139595615396349 0.0088644187247866 0.0 0.0193057426124348 0.0074061974130833 0.0 0.0 0.044528178812326 0.0 0.0 0.0 0.0 0.0248753363491525 0.0062641059782783 0.0 0.3277752099873936 0.0090235854630235 0.0 0.0 0.0 0.0 0.0 0.0048815287375535 0.0636411671248673 0.0 0.1454246169090614 0.0090235854630235 0.0 0.2274957210424202 0.0 0.0 0.0082083546969378 0.0 0.0 0.0 0.0099395195145975 0.018803938239384 0.0954462612145896 0.0492788556425731 0.0 0.0 0.0 4.0985859912e-09 128.469579 82.73843 11.781071 24 64 234465033322.051139889232538008
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=70.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2806442156300225 0.0163517706036278 0.0101129368676716 0.0 0.0148289610997726 0.0079839746668699 0.0 0.0 0.0444985051448779 0.0 0.0 0.0 0.0 0.0295090139744927 0.0029940999929126 0.0 0.3605953720422623 0.0106559258739614 0.0 0.0 0.0 0.0 0.0 0.0057146947242998 0.0582738472921894 0.0 0.121416254211023 0.0106559258739614 0.0 0.1907658371833254 0.0 0.0 0.0096774569816068 0.0 0.0 0.0 0.0131205580403702 0.0232334949080418 0.0817371800693135 0.0404686968385023 0.0 0.0 0.0 4.91995264762e-09 130.946912 78.896376 12.995406 24 64 199006696431.039013659180816001
Horovod CANDLE NT3 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=10.0, epochs=24.0 1.301 nt3-hybrid-opt.py empirical 1.301 1 0.5907113665931677 0.0179740955647888 0.0020393984443926 0.0 0.03045971027018 0.0010201448012209 0.0 0.0 0.1102765185050558 0.0 0.0 0.0 0.0 0.0800002396059138 0.0070800743528792 0.0 0.1760419788108951 0.0058989017627038 0.0 0.0 0.0 0.0 0.0 0.0121729480638372 0.1437602540455177 0.0 0.2222677989681615 0.0058989017627038 0.0 0.4298171479069975 0.0 0.0 0.0046523924531452 0.0 0.0 0.0 0.0176509038328068 0.0196903022771994 0.1587528802678953 0.0636947206546379 0.0 0.0 0.0 6.71461841986e-09 133.842915 81.291082 13.007243 24 64 164359716217.948593461624108655
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=60.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3143123512119035 0.0128870918687008 0.0088006483965844 0.0 0.0193605080034937 0.0073975356156915 0.0 0.0 0.044206954229718 0.0 0.0 0.0 0.0 0.0250366561503194 0.0064109645274124 0.0 0.3099094942968607 0.0082343799094526 0.0 0.0 0.0 0.0 0.0 0.0050387561298528 0.0660186571053156 0.0 0.1443722881079944 0.0082343799094526 0.0 0.2245670308030552 0.0 0.0 0.0082407030656171 0.0 0.0 0.0 0.0100101834548997 0.0188108318514841 0.0956105498885559 0.0457543880218315 0.0 0.0 0.0 5.1489249069e-09 129.883368 83.374949 12.821355 24 64 236399793745.06732913487152026
Horovod CANDLE P1B2 Benchmark ANL Theta 24 24 64 learning rate=0.001, batch size=50.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2770970885649838 0.016329998566187 0.0100490081333866 0.0 0.0146815912078139 0.0078359177418873 0.0 0.0 0.0438325302586155 0.0 0.0 0.0 0.0 0.02911226582378 0.0030505707586547 0.0 0.3558659169088086 0.0105395597713707 0.0 0.0 0.0 0.0 0.0 0.0057105170954645 0.0577790424133318 0.0 0.120154831615424 0.0105395597713707 0.0 0.1867475414739725 0.0 0.0 0.0095103036336559 0.0 0.0 0.0 0.0130221923913283 0.0230712005247149 0.0801906421687345 0.0398246193646737 0.0 0.0 0.0 6.28143152986e-09 128.276845 77.819211 13.641156 24 64 203799921548.859418836463910104