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
	gtcmpi	systemg	9	3	3	Particles in Cell=50.0	2.4	gtcmpi	empirical	2.4	1	0.9482127787772788	0.0077874052800898	0.0031184376691656	0.1624043704420437	0.0362467217076868	0.0	0.0018266156612246	0.0033913477308085	0.0380715526875585	0.9990876658956735	0.0021808680813612	6.33096163869e-05	3.13824302589e-05	0.0196634947366417	0.0008913135492042	0.3060394230574101	0.3000241589008714	0.0160098986060187	0.000828668130085	0.000828668130085	0.0	0.0161908361621914	0.0008234916122637	7.91486609882e-05	0.058099484991799	0.0	0.4118374835878259	0.0076206293000947	0.0	0.9950176033299176	0.3064763954806923	0.0001778065410751	9.2589608576e-06	0.0116300931862879	0.0	5.0137084074e-06	0.0	0.0171739971231449	0.2874568970148148	0.090083760286165	4.857310597e-07	4.454479603e-07	0.0	4.220769892e-10	272.077	97.6838	87.1878	3	3	177230002852.759166716