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	64	64	1	number of iterations=50000.0, Local data size (MB)=16.0	2.301	hdc-ins	empirical	2.301	1	0.694591103619753	0.0188132709119118	0.0113332215172254	0.0	0.0060695918329409	0.3419707805768957	0.0945622724587258	0.0	0.0055005046090392	0.0	0.0105188307857757	0.0067263761433793	0.0152679660961244	0.0593973346820044	0.0349630379325705	0.0	0.0051934260110132	0.028774006471632	0.6965834136954192	0.0190648922154142	0.0083262554528231	0.0156314445988954	0.0189452858615929	0.0112607147013895	0.0166931469128173	0.0	0.0	2.85411516789e-05	0.0	0.0	0.0	0.1123754575078017	0.0248513311685531	0.0	0.0001054714499092	1.89012671e-06	0.0	1.02736141123e-05	0.0098332310718962	2.68411375947e-05	2.70143709456e-05	0.0	0.0018978642973498	4.4039552875e-10	321.630661	243.281258	63.003753	64	1	1613594177527.171363227