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=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2047356044269056 0.0220817080157057 0.0188090020146231 0.0 0.0100721540636418 0.0159314514330536 0.0 0.0 0.0273236909433659 0.0 0.0 0.0 0.0 0.0172188243224821 0.0018710979532643 0.0 0.2184217023007829 0.0183123554826116 0.0 0.0 0.0 0.0 0.0 0.0037583422687083 0.0356252004866355 0.0 0.0950423619187756 0.0183123554826116 0.0 0.1219491215510307 0.0 0.0 0.0169423948250876 0.0 0.0 0.0 0.0143184151817756 0.0331274171963987 0.0596306714504236 0.0355554279118486 0.0 0.0 0.0 6.75047711989e-09 128.613056 78.325371 12.687191 6 64 359676881186.075993533693861226
Horovod CANDLE P1B2 Benchmark ANL Theta 6 6 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2047356044269056 0.0220817080157057 0.0188090020146231 0.0 0.0100721540636418 0.0159314514330536 0.0 0.0 0.0273236909433659 0.0 0.0 0.0 0.0 0.0172188243224821 0.0018710979532643 0.0 0.2184217023007829 0.0183123554826116 0.0 0.0 0.0 0.0 0.0 0.0037583422687083 0.0356252004866355 0.0 0.0950423619187756 0.0183123554826116 0.0 0.1219491215510307 0.0 0.0 0.0169423948250876 0.0 0.0 0.0 0.0143184151817756 0.0331274171963987 0.0596306714504236 0.0355554279118486 0.0 0.0 0.0 6.75047711989e-09 128.613056 78.325371 12.687191 6 64 359676881186.075993533693861226
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2209041478814428 0.0205142110589658 0.0168306770696424 0.0 0.0112109739874864 0.0140871908014008 0.0 0.0 0.0309772087906819 0.0 0.0 0.0 0.0 0.0198180450782204 0.0021398651922074 0.0 0.2482396570975335 0.0163598544542661 0.0 0.0 0.0 0.0 0.0 0.0041356683549774 0.0411394773312093 0.0 0.1006247998222642 0.0163598544542661 0.0 0.1364791227199473 0.0 0.0 0.0152622490546388 0.0 0.0 0.0 0.01393924752398 0.0307699245936224 0.0643841487720443 0.03679892536811 0.0 0.0 0.0 5.18154828632e-09 138.058972 89.968464 13.124251 8 64 305998030585.964635013823224806
Horovod CANDLE P1B2 Benchmark ANL Theta 8 8 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2209041478814428 0.0205142110589658 0.0168306770696424 0.0 0.0112109739874864 0.0140871908014008 0.0 0.0 0.0309772087906819 0.0 0.0 0.0 0.0 0.0198180450782204 0.0021398651922074 0.0 0.2482396570975335 0.0163598544542661 0.0 0.0 0.0 0.0 0.0 0.0041356683549774 0.0411394773312093 0.0 0.1006247998222642 0.0163598544542661 0.0 0.1364791227199473 0.0 0.0 0.0152622490546388 0.0 0.0 0.0 0.01393924752398 0.0307699245936224 0.0643841487720443 0.03679892536811 0.0 0.0 0.0 5.18154828632e-09 138.058972 89.968464 13.124251 8 64 305998030585.964635013823224806
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 16 16 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.261743810765099 0.0177903983732519 0.0125265182881844 0.0 0.0137231650340398 0.0101258865122129 0.0 0.0 0.0400659769969249 0.0 0.0 0.0 0.0 0.0263150734722347 0.0026898462218768 0.0 0.3243189974012199 0.0125991781446386 0.0 0.0 0.0 0.0 0.0 0.0051149583549191 0.0526580375785681 0.0 0.1148952382766908 0.0125991781446386 0.0 0.1711807431096292 0.0 0.0 0.0116992113872332 0.0 0.0 0.0 0.013529742874523 0.0260562611627074 0.0750766649843537 0.0388657510447226 0.0 0.0 0.0 4.30548879294e-09 131.797521 81.992769 13.512913 16 64 224804675740.213517853282404554
Horovod CANDLE P1B2 Benchmark ANL Theta 16 16 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.261743810765099 0.0177903983732519 0.0125265182881844 0.0 0.0137231650340398 0.0101258865122129 0.0 0.0 0.0400659769969249 0.0 0.0 0.0 0.0 0.0263150734722347 0.0026898462218768 0.0 0.3243189974012199 0.0125991781446386 0.0 0.0 0.0 0.0 0.0 0.0051149583549191 0.0526580375785681 0.0 0.1148952382766908 0.0125991781446386 0.0 0.1711807431096292 0.0 0.0 0.0116992113872332 0.0 0.0 0.0 0.013529742874523 0.0260562611627074 0.0750766649843537 0.0388657510447226 0.0 0.0 0.0 4.30548879294e-09 131.797521 81.992769 13.512913 16 64 224804675740.213517853282404554
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 P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2910219149872771 0.0156488318362056 0.0087522584733897 0.0 0.0157057520954325 0.0067141813539082 0.0 0.0 0.0468430893374472 0.0 0.0 0.0 0.0 0.0311474103904523 0.0031526215292547 0.0 0.3821997463779932 0.0096698429212612 0.0 0.0 0.0 0.0 0.0 0.0059123346245174 0.0620349107029751 0.0 0.1255550897383861 0.0096698429212612 0.0 0.1987023284865896 0.0 0.0 0.0085240732170095 0.0 0.0 0.0 0.0128157344767501 0.0215679929501397 0.084610849208096 0.0408921082038279 0.0 0.0 0.0 2.84424512997e-09 131.809972 85.867357 10.990593 32 64 186722927431.223794632263891348
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2910219149872771 0.0156488318362056 0.0087522584733897 0.0 0.0157057520954325 0.0067141813539082 0.0 0.0 0.0468430893374472 0.0 0.0 0.0 0.0 0.0311474103904523 0.0031526215292547 0.0 0.3821997463779932 0.0096698429212612 0.0 0.0 0.0 0.0 0.0 0.0059123346245174 0.0620349107029751 0.0 0.1255550897383861 0.0096698429212612 0.0 0.1987023284865896 0.0 0.0 0.0085240732170095 0.0 0.0 0.0 0.0128157344767501 0.0215679929501397 0.084610849208096 0.0408921082038279 0.0 0.0 0.0 2.84424512997e-09 131.809972 85.867357 10.990593 32 64 186722927431.223794632263891348
Horovod CANDLE P1B2 Benchmark ANL Theta 32 32 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.2907532442099804 0.0157640948691236 0.0087074114757953 0.0 0.0155756033308626 0.006643911817552 0.0 0.0 0.0468705235064047 0.0 0.0 0.0 0.0 0.0312499711274323 0.0031735354964812 0.0 0.3730577081415943 0.0096414140116357 0.0 0.0 0.0 0.0 0.0 0.0060620435622044 0.0618850032758349 0.0 0.126019231460971 0.0096414140116357 0.0 0.198252601454383 0.0 0.0 0.0084565806500225 0.0 0.0 0.0 0.0128574331542868 0.0215648446300821 0.0841241162335619 0.0407082078945661 0.0 0.0 0.0 4.53201505315e-09 133.71697 82.342924 12.473282 32 64 187859980608.016970527215381343
Horovod CANDLE P1B2 Benchmark ANL Theta 48 48 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3057189839487132 0.0145458836265891 0.0071558663354763 0.0 0.0165243898117563 0.0052375842275023 0.0 0.0 0.0501524135144005 0.0 0.0 0.0 0.0 0.0335241701046903 0.0033305933945193 0.0 0.4104566988995668 0.008277989190639 0.0 0.0 0.0 0.0 0.0 0.0062515213697161 0.0659005224489801 0.0 0.1298187901458583 0.008277989190639 0.0 0.2096330851559405 0.0 0.0 0.0071629735460291 0.0 0.0 0.0 0.0125359283471411 0.0196917946826174 0.0879082556563212 0.0414134991922271 0.0 0.0 0.0 2.98044540859e-09 129.666667 75.823188 13.069565 48 64 173488019444.925215864747059524
Horovod CANDLE P1B2 Benchmark ANL Theta 48 48 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3057189839487132 0.0145458836265891 0.0071558663354763 0.0 0.0165243898117563 0.0052375842275023 0.0 0.0 0.0501524135144005 0.0 0.0 0.0 0.0 0.0335241701046903 0.0033305933945193 0.0 0.4104566988995668 0.008277989190639 0.0 0.0 0.0 0.0 0.0 0.0062515213697161 0.0659005224489801 0.0 0.1298187901458583 0.008277989190639 0.0 0.2096330851559405 0.0 0.0 0.0071629735460291 0.0 0.0 0.0 0.0125359283471411 0.0196917946826174 0.0879082556563212 0.0414134991922271 0.0 0.0 0.0 2.98044540859e-09 129.666667 75.823188 13.069565 48 64 173488019444.925215864747059524
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 96 96 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3180924697246394 0.0135361946295102 0.0051894519623996 0.0 0.0177900121092141 0.0035731538051261 0.0 0.0 0.0531938085306901 0.0 0.0 0.0 0.0 0.0357340267911936 0.0036104593700157 0.0 0.4406006886674184 0.0067854237750533 0.0 0.0 0.0 0.0 0.0 0.0066638071749532 0.0717255484789489 0.0 0.1356394568636466 0.0067854237750533 0.0 0.2234464533340514 0.0 0.0 0.0056998334955014 0.0 0.0 0.0 0.0122776704405079 0.0174671224029075 0.0934817026884073 0.0428940260515751 0.0 0.0 0.0 2.1966179095e-09 128.022504 76.365682 13.075949 96 64 161813311938.673328931082358545
Horovod CANDLE P1B2 Benchmark ANL Theta 96 96 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3180924697246394 0.0135361946295102 0.0051894519623996 0.0 0.0177900121092141 0.0035731538051261 0.0 0.0 0.0531938085306901 0.0 0.0 0.0 0.0 0.0357340267911936 0.0036104593700157 0.0 0.4406006886674184 0.0067854237750533 0.0 0.0 0.0 0.0 0.0 0.0066638071749532 0.0717255484789489 0.0 0.1356394568636466 0.0067854237750533 0.0 0.2234464533340514 0.0 0.0 0.0056998334955014 0.0 0.0 0.0 0.0122776704405079 0.0174671224029075 0.0934817026884073 0.0428940260515751 0.0 0.0 0.0 2.1966179095e-09 128.022504 76.365682 13.075949 96 64 161813311938.673328931082358545
Horovod CANDLE P1B2 Benchmark ANL Theta 128 128 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3263710862308098 0.0132682545430009 0.0048297133414434 0.0 0.0179204461397311 0.0030959116908776 0.0 0.0 0.0548148465372684 0.0 0.0 0.0 0.0 0.0368965920871234 0.0036986104734028 0.0 0.4472858664187635 0.0063908683201855 0.0 0.0 0.0 0.0 0.0 0.0068219849633412 0.072432868081752 0.0 0.1361496589766882 0.0063908683201855 0.0 0.2319674643145147 0.0 0.0 0.0053380396967777 0.0 0.0 0.0 0.0123549640869159 0.0171846774283593 0.094051862944273 0.0428123406953861 0.0 0.0 0.0 1.7870870462e-09 125.448214 74.5125 13.008929 128 64 156737397652.566566961443178974
Horovod CANDLE P1B2 Benchmark ANL Theta 128 128 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3263710862308098 0.0132682545430009 0.0048297133414434 0.0 0.0179204461397311 0.0030959116908776 0.0 0.0 0.0548148465372684 0.0 0.0 0.0 0.0 0.0368965920871234 0.0036986104734028 0.0 0.4472858664187635 0.0063908683201855 0.0 0.0 0.0 0.0 0.0 0.0068219849633412 0.072432868081752 0.0 0.1361496589766882 0.0063908683201855 0.0 0.2319674643145147 0.0 0.0 0.0053380396967777 0.0 0.0 0.0 0.0123549640869159 0.0171846774283593 0.094051862944273 0.0428123406953861 0.0 0.0 0.0 1.7870870462e-09 125.448214 74.5125 13.008929 128 64 156737397652.566566961443178974
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3331204919975312 0.0128580825562926 0.0043076639820248 0.0 0.0181216597164821 0.0026285115388611 0.0 0.0 0.0563455655850948 0.0 0.0 0.0 0.0 0.0381978587685403 0.0037588945604444 0.0 0.4544374884653584 0.0059234852404299 0.0 0.0 0.0 0.0 0.0 0.0069320621462994 0.0745430382982172 0.0 0.1381208658721359 0.0059234852404299 0.0 0.2342390549962024 0.0 0.0 0.0048032154316158 0.0 0.0 0.0 0.0123395197197426 0.0166471837017673 0.0956717896586902 0.043526082100102 0.0 0.0 0.0 1.72725024298e-09 127.097514 80.361377 14.001912 192 64 151194265024.065702389645756761
Horovod CANDLE P1B2 Benchmark ANL Theta 192 192 64 learning rate=0.001, batch size=90.0, epochs=384.0 1.301 p1b2-hybrid.py empirical 1.301 1 0.3331204919975312 0.0128580825562926 0.0043076639820248 0.0 0.0181216597164821 0.0026285115388611 0.0 0.0 0.0563455655850948 0.0 0.0 0.0 0.0 0.0381978587685403 0.0037588945604444 0.0 0.4544374884653584 0.0059234852404299 0.0 0.0 0.0 0.0 0.0 0.0069320621462994 0.0745430382982172 0.0 0.1381208658721359 0.0059234852404299 0.0 0.2342390549962024 0.0 0.0 0.0048032154316158 0.0 0.0 0.0 0.0123395197197426 0.0166471837017673 0.0956717896586902 0.043526082100102 0.0 0.0 0.0 1.72725024298e-09 127.097514 80.361377 14.001912 192 64 151194265024.065702389645756761
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