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	448	448	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	1.060258087476282	0.0137753820472802	0.0134806940004175	0.0	0.006444402235713	0.2935601037806419	0.084455964067485	0.0	0.0042804048361376	0.0	0.0157281349284315	0.006916768021023	0.0201825021047881	0.0838574191336915	0.0493440210188062	0.0	0.0332277486743703	0.0187917743263121	0.6342231290180198	0.0139381275968839	0.0080686418534056	0.014869035075306	0.0138246685341552	0.0062737575307418	0.0153880474252505	0.0	0.0	1.67931956141e-05	0.0	0.0	0.0	0.1183493204864767	0.0240199507414949	0.0	9.5302297967e-06	4.778825497e-07	0.0	5.172935411e-06	0.0135890503159634	1.51962764554e-05	1.85146092334e-05	0.0	0.0017084464221426	4.4094150054e-10	329.795164	250.729521	62.843704	448	1	3354450720081.000792977