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
	HDC16	SNL Haswell Shepard	960	960	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.9225616994951796	0.0138765586519266	0.0128886191778752	0.0	0.0062609063478593	0.3445413792203273	0.1088484489608367	0.0	0.0040194598696217	0.0	0.015595220351899	0.0066957891778031	0.0198347913685308	0.0700074748665134	0.0414049088335269	0.0	0.0350929169395542	0.0223941643799354	0.6699818524342346	0.0138854994214003	0.0080726665504657	0.015975425660054	0.0141371387134188	0.00652212088841	0.0155551008947299	0.0	0.0	2.90446808464e-05	0.0	0.0	0.0	0.1848323283017458	0.0237465708821307	0.0	1.4609850683e-06	4.491549149e-07	0.0	5.8219056706e-06	0.0128912073906194	2.23423794502e-05	2.52414590222e-05	0.0	0.0018787941153479	4.4015735565e-10	333.612434	253.759094	62.621533	960	1	1773599877360.131991242