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	704	704	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.8939386823588114	0.014732496462656	0.0133413506879627	0.0	0.0066336075274533	0.3534911224871876	0.1121894437601445	0.0	0.0050775952657213	0.0	0.0157029401198651	0.0068978922033525	0.0200029939018906	0.0882726554873928	0.0518257938027944	0.0	0.0283469115619351	0.0233206572165918	0.6400321902613441	0.0141986197736498	0.0081091058047044	0.0183209927048225	0.0146084890887155	0.007051516484988	0.0179037436687078	0.0	0.0	2.53857909961e-05	0.0	0.0	0.0	0.1186724085612072	0.0238248845891839	0.0	3.30810060283e-05	6.398794419e-07	0.0	5.6409679684e-06	0.0135487546913442	2.42502803335e-05	2.66582700912e-05	0.0	0.0018501696042372	4.4058585201e-10	336.158283	256.475202	62.41298	704	1	1727117792204.387039823