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	576	576	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.7946963576447807	0.0187813825494872	0.0124844071084169	0.0	0.0061490655808379	0.3378488837850625	0.1053624078579503	0.0	0.0063274946250837	0.0	0.0155523266863422	0.0066122388489437	0.0199638511354808	0.0524953052586919	0.0314891215319291	0.0	0.035372486108446	0.0239055893227387	0.6592426039548844	0.0178638834856546	0.0081241915175552	0.0154634229419887	0.0184914042691569	0.0109766804709203	0.0147756270462192	0.0	0.0	2.18517233532e-05	0.0	0.0	0.0	0.0733714729939071	0.0239663786759766	0.0	1.55648321599e-05	6.363073477e-07	0.0	4.961301939e-06	0.0122930984090705	2.15505106654e-05	2.44888189981e-05	0.0	0.0017121987624469	4.4041115237e-10	334.939811	255.781267	61.890535	576	1	1721718264670.473744207