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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 NT3 Benchmark	ANL Theta	1	1	64	learning rate=0.001, batch size=70.0, epochs=1.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.582286312051227	0.0179704983834312	0.0020320735857674	0.0	0.0293737249146774	0.0010240379096625	0.0	0.0	0.1087730903078058	0.0	0.0	0.0	0.0	0.0788892462162832	0.0070504592703676	0.0	0.1792316276104873	0.0059477105692028	0.0	0.0	0.0	0.0	0.0	0.0119572170081376	0.1385249573329849	0.0	0.2256236280527519	0.0059477105692028	0.0	0.4198748257376382	0.0	0.0	0.00476242460384	0.0	0.0	0.0	0.0172655141159139	0.0192975877016813	0.1593857565998441	0.0638704394655448	0.0	0.0	0.0	4.30282641863e-09	146.943396	91.2355	12.059399	1	64	166303553845.854620547026582157
	Horovod CANDLE NT3 Benchmark	ANL Theta	1	1	64	learning rate=0.001, batch size=60.0, epochs=1.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5905191931095894	0.0180556004771686	0.0020792586771222	0.0	0.0303029465792299	0.0010106751753623	0.0	0.0	0.1102931759636633	0.0	0.0	0.0	0.0	0.0799900830237433	0.0071893027428857	0.0	0.1720423061343029	0.0059630260311498	0.0	0.0	0.0	0.0	0.0	0.0119632435755542	0.1429466779129282	0.0	0.2197268019788191	0.0059630260311498	0.0	0.4237690520722726	0.0	0.0	0.0048420671287342	0.0	0.0	0.0	0.0173052940716864	0.0193845527488087	0.1590015378609209	0.0637570367708507	0.0	0.0	0.0	4.40723656514e-09	145.714979	94.794036	11.427184	1	64	163557890833.822734742006030061
	Horovod CANDLE NT3 Benchmark	ANL Theta	1	1	64	learning rate=0.001, batch size=40.0, epochs=1.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5912430975970558	0.0178707967930161	0.0020627512363979	0.0	0.0300252461332219	0.0010450478298329	0.0	0.0	0.1104154655746371	0.0	0.0	0.0	0.0	0.0800887861384308	0.0070081208597305	0.0	0.1940996418897976	0.0058622449936605	0.0	0.0	0.0	0.0	0.0	0.0121650576938255	0.1416140816916263	0.0	0.2238872690675379	0.0058622449936605	0.0	0.4291478423500387	0.0	0.0	0.0047517435365904	0.0	0.0	0.0	0.0173286817733064	0.0193914330097043	0.1595575737881965	0.0638855698361373	0.0	0.0	0.0	4.4456010508e-09	137.95261	86.898352	12.028846	1	64	163764669766.979712267797001304
	Horovod CANDLE NT3 Benchmark	ANL Theta	1	1	64	learning rate=0.001, batch size=50.0, epochs=1.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5762193315614776	0.0178520605009973	0.0020569250237943	0.0	0.0302711818849966	0.0010158662523703	0.0	0.0	0.1076005532487588	0.0	0.0	0.0	0.0	0.0780770955738321	0.0071445968457678	0.0	0.1764034992481779	0.0058763053971837	0.0	0.0	0.0	0.0	0.0	0.0121818082122152	0.1429848574658738	0.0	0.2251109462259494	0.0058763053971837	0.0	0.423299724624442	0.0	0.0	0.0046981201946244	0.0	0.0	0.0	0.0173849351653208	0.0194418601891152	0.155444202631881	0.06238632903835	0.0	0.0	0.0	4.36004572593e-09	141.183618	89.095563	12.438908	1	64	167978508262.956344870775546574
	Horovod CANDLE NT3 Benchmark	ANL Theta	1	1	64	learning rate=0.001, batch size=30.0, epochs=1.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5708730841898051	0.0181418266773017	0.0020338909120244	0.0	0.0307949289483849	0.0010210217049928	0.0	0.0	0.1066248187231654	0.0	0.0	0.0	0.0	0.0773395351591316	0.0067811235077194	0.0	0.1735064128665565	0.0059300938484133	0.0	0.0	0.0	0.0	0.0	0.0119515594572774	0.1453828841989529	0.0	0.2248964740111899	0.0059300938484133	0.0	0.4316489870583715	0.0	0.0	0.0046282280731935	0.0	0.0	0.0	0.0176087537740032	0.0196426446860275	0.1581469254043014	0.0634304238232024	0.0	0.0	0.0	4.43702767215e-09	146.118937	90.87309	11.348173	1	64	169518124423.942578768845824135
	Horovod CANDLE NT3 Benchmark	ANL Theta	1	1	64	learning rate=0.001, batch size=10.0, epochs=1.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5724642731321576	0.0180291364302085	0.0020655872971725	0.0	0.0306322110504576	0.0010190894837428	0.0	0.0	0.1069005417424301	0.0	0.0	0.0	0.0	0.0775541260398652	0.0069994305554708	0.0	0.1843113297867667	0.0059283699408027	0.0	0.0	0.0	0.0	0.0	0.0122657050724662	0.1445020709061231	0.0	0.2202537021393871	0.0059283699408027	0.0	0.4229048238542879	0.0	0.0	0.0047499274772021	0.0	0.0	0.0	0.0173892061853834	0.0194547934825559	0.1545133814031391	0.0619342521468321	0.0	0.0	0.0	5.32551501177e-09	144.530522	88.99667	11.046615	1	64	169133154260.067387728512049339
	Horovod CANDLE NT3 Benchmark	ANL Theta	2	2	64	learning rate=0.001, batch size=70.0, epochs=2.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5933089095689126	0.0182918735109577	0.0020811722133773	0.0	0.0300530240388353	0.0010242182730947	0.0	0.0	0.1108055733082197	0.0	0.0	0.0	0.0	0.0804114451570653	0.0069542953214643	0.0	0.1778893597189587	0.0060703813003564	0.0	0.0	0.0	0.0	0.0	0.0122087137639322	0.1419143467836369	0.0	0.2170894874302511	0.0060703813003564	0.0	0.4308530311272061	0.0	0.0	0.0046903364231472	0.0	0.0	0.0	0.0170656187446911	0.0191467909580684	0.1591829922191528	0.0639139308563158	0.0	0.0	0.0	4.43435838271e-09	144.831724	92.817931	11.311034	2	64	163630662516.853431359178326272
	Horovod CANDLE NT3 Benchmark	ANL Theta	2	2	64	learning rate=0.001, batch size=60.0, epochs=2.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5937890330576944	0.0179808649565451	0.0020550851745009	0.0	0.0303238012983609	0.0010394537698039	0.0	0.0	0.1109027307452538	0.0	0.0	0.0	0.0	0.0804457721963184	0.0069962298157857	0.0	0.1717692034266843	0.0059393173976361	0.0	0.0	0.0	0.0	0.0	0.0120067586396306	0.1434235262886118	0.0	0.225492749904214	0.0059393173976361	0.0	0.4279955781099293	0.0	0.0	0.0047277006610068	0.0	0.0	0.0	0.0172758043339088	0.0193308895084097	0.1601519525308599	0.0642652248067337	0.0	0.0	0.0	4.4871900131e-09	147.017747	89.729693	12.301706	2	64	163132145254.149901646829371706
	Horovod CANDLE NT3 Benchmark	ANL Theta	2	2	64	learning rate=0.001, batch size=50.0, epochs=2.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5887377452109142	0.0182207190341103	0.0020712445481611	0.0	0.0300072322577823	0.0010119464601488	0.0	0.0	0.1099470096102978	0.0	0.0	0.0	0.0	0.0797418997433747	0.0071336611392575	0.0	0.1706681114288826	0.0059528944751342	0.0	0.0	0.0	0.0	0.0	0.0121988783212738	0.1416780462907861	0.0	0.224341992643827	0.0059528944751342	0.0	0.422631907349759	0.0	0.0	0.004781774405265	0.0	0.0	0.0	0.0173573677377399	0.019428612285901	0.1578644494303785	0.0633939151804322	0.0	0.0	0.0	4.49355665828e-09	147.410014	94.64885	9.966171	2	64	164423118964.924271060525527283
	Horovod CANDLE NT3 Benchmark	ANL Theta	2	2	64	learning rate=0.001, batch size=40.0, epochs=2.0	1.301	nt3-hybrid-opt.py	empirical	1.301	1	0.5875655824206287	0.017656809137457	0.0020111609142144	0.0	0.0301631520839049	0.0010398630881675	0.0	0.0	0.1097315336382338	0.0	0.0	0.0	0.0	0.0796065774471679	0.0070013518478146	0.0	0.1766366302121883	0.0058150415875536	0.0	0.0	0.0	0.0	0.0	0.0120857612324704	0.1423241046277838	0.0	0.226366469002164	0.0058150415875536	0.0	0.4262478661926403	0.0	0.0	0.004646672744658	0.0	0.0	0.0	0.0175913902627004	0.0196025511769148	0.1619307697732199	0.0650308204582004	0.0	0.0	0.0	4.51206193881e-09	139.679435	88.729839	12.387097	2	64	164898499420.029950721340417006

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