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	640	640	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.9623690847196612	0.014049621814233	0.0131251945855499	0.0	0.0062853097861192	0.3463788062532348	0.1089922696949165	0.0	0.0043260708872645	0.0	0.0155406946197075	0.0067861303801517	0.0199963357987412	0.079139272573691	0.0466341960392156	0.0	0.0293298163253993	0.01565502774462	0.6825898675903658	0.0140828399390067	0.0081467991327694	0.0151169325321936	0.0142731869801507	0.0066453688688658	0.0159402551833766	0.0	0.0	2.62944104271e-05	0.0	0.0	0.0	0.125029351000667	0.0238970194697834	0.0	5.87855942405e-05	7.804913659e-07	0.0	5.3965092118e-06	0.0132532578998804	2.40007220082e-05	2.45157849685e-05	0.0	0.0019433742254955	4.4030558274e-10	336.057894	256.55264	62.204113	640	1	1717150937071.945425772