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 16384 16384 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 0.3359270420210166 0.0 0.0 8.18856026073e-05 0.0272754083713565 0.0 0.0 3.1016400069e-06 0.0354663898459668 0.3773182943217779 0.0 0.0 0.0 -0.0071882764727601 0.0052429079761815 0.0082931468042012 0.473903497741569 0.0039867381116398 0.001087518363467 0.0 0.0 0.0 0.0 0.0017467814720056 0.0431833349951862 0.0 0.0 0.0033073668302878 0.0 0.0 0.0163743253161463 0.0 0.0 6.51012253009e-05 0.0 0.0 0.0 0.0 0.0960545839377399 0.0554962528601303 0.0 1.8798e-12 0.0 6.2646745157e-10 55.328428 33.636185 7.985639 16384 1 529484357357.608218829