Create Training Set

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
ftla ANL Mira 8192 8192 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3442293274162703 0.0 0.0 7.25696671867e-05 0.032225007706514 0.0 0.0 4.3719511608e-06 0.0427170959646525 0.3824712000756473 0.0 0.0 0.0 -0.0032500795981034 0.0047346193719595 0.0124624140198137 0.4792356009706978 0.0041209382227885 0.0009836516613689 0.0 0.0 0.0 0.0 0.0015345635545615 0.0495296217004652 0.0 0.0 0.0035816633516755 0.0 0.0 0.0246424910907243 0.0 0.0 4.77076772385e-05 0.0 0.0 0.0 0.0 0.0986797363327881 0.0518055761350272 0.0 1.6401e-12 0.0 6.2591130626e-10 55.135514 33.964976 7.670635 8192 1 609613709137.090480395