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
	Heat Distribution Code	SNL Haswell Shepard	64	64	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.7978389685713658	0.0143831814302771	0.0135611308003904	0.0	0.0064373978137668	0.346767217274548	0.096035328829483	0.0	0.0043960579178784	0.0	0.0166315642983588	0.0071835712327627	0.0210749161348418	0.0775029508024409	0.0450895751317986	0.0	0.0312003276835817	0.0201907457678042	0.7048794399071985	0.014714867352065	0.0083884868907245	0.0157778669067744	0.0143672987893975	0.0065907609786574	0.0163839693476888	0.0	0.0	1.98675438576e-05	0.0	0.0	0.0	0.1103718584820454	0.0250543653272055	0.0	2.8207302455e-06	3.364813615e-07	0.0	9.5069876266e-06	0.0132273061488681	1.76508785739e-05	1.92317228276e-05	0.0	0.0018784261958034	4.4056164589e-10	332.334328	252.848384	64.012251	64	1	3190272928004.563570385