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	832	832	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.8684102579016298	0.0138195593722529	0.0129168604474279	0.0	0.0062125077684196	0.3859465648757625	0.127038998392896	0.0	0.0041480333252974	0.0	0.0154516992136225	0.0068343248949803	0.0198549205668899	0.0794808453438116	0.0468044550245436	0.0	0.0221167128825642	0.0184358538708029	0.6810973884940061	0.0142359453793275	0.0080370183500816	0.0137790321530532	0.0139049367032563	0.0063317039835282	0.0151877424757842	0.0	0.0	2.57245306332e-05	0.0	0.0	0.0	0.1440829734236394	0.0236216730762151	0.0	6.3073558423e-06	2.700942792e-07	0.0	3.9416773602e-06	0.0130903489146013	2.1599711713e-05	2.53072723067e-05	0.0	0.001916821757235	4.4007370287e-10	334.806855	255.302255	62.243046	832	1	1743039343177.011225806