Create Training Set

Model Title

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
	Qbox	ANL BGQ Mira	64	32	2	number of atoms=1024.0	1.6	qb-bgq-inst	empirical	1.6	1	0.4425458879918768	0.0	0.0	0.0014820320565173	0.0113771331015985	0.0	0.0	1.55764425e-06	0.0128283233470652	0.4920236555840312	0.0	0.0	0.0	1.82714847477e-05	0.0008089202908025	0.2914142790531253	0.3431562205576431	0.0255529214601184	0.0129593690728566	0.0	0.0	0.0	0.0	0.0002004087735829	0.0136237953762965	0.0	0.0	0.0383294690814254	0.0	0.0	2.267392016668286	0.0	0.0	0.3567865654464953	0.0	0.0	0.0	0.0	0.0906822488549522	0.0214077946366309	0.0	1.006e-13	0.0	6.260198296e-10	51.899364	30.706836	7.723968	32	2	9899818981708.498902796
	Qbox	ANL BGQ Mira	64	64	1	number of atoms=1024.0	1.6	qb-bgq-inst	empirical	1.6	1	0.4234992655003089	0.0	0.0	0.0011305780336805	0.0121612887737862	0.0	0.0	9.295689521e-07	0.0150213675965414	0.482393009884899	0.0	0.0	0.0	9.50088291877e-05	0.0011697805324104	0.2536263101320622	0.3685286052321615	0.0234200608930938	0.0148535975657617	0.0	0.0	0.0	0.0	0.0002759711769477	0.0164198611002016	0.0	0.0	0.0379993246918181	0.0	0.0	1.972245158824147	0.0	0.0	0.3111733133343819	0.0	0.0	0.0	0.0	0.0928684384721363	0.02828588300615	0.0	8.65e-14	0.0	6.2507957031e-10	50.892962	30.727774	6.890187	64	1	11566120494730.779069669