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	512	512	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.9093158353232254	0.0147840349387696	0.0132398127025719	0.0	0.0063863546008331	0.3534961541682491	0.0923514468039652	0.0	0.0048198185193283	0.0	0.0159173007582798	0.0068857258992403	0.0200294221856848	0.0700883364107682	0.0413342615806749	0.0	0.028558446020896	0.0231290474868224	0.7026258766842726	0.0145105927398019	0.0080718861429621	0.017349226518727	0.0148171635424389	0.0072431293089039	0.0181736136774788	0.0	0.0	3.08801975787e-05	0.0	0.0	0.0	0.101616715993434	0.0241012717008856	0.0	2.93575555775e-05	4.360946233e-07	0.0	8.6726320656e-06	0.0131441797572439	3.04998555577e-05	3.13403892864e-05	0.0	0.0017692394807968	4.4042611885e-10	335.764304	255.917007	62.551553	512	1	1708683524412.643948262