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
la ANL Mira 2048 2048 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 0.357014089224064 0.0 0.0 8.51332296463e-05 0.0387663607850009 0.0 0.0 7.5285384009e-06 0.0441045401180336 0.3901615659897502 0.0 0.0 0.0 -0.0048482468640852 0.0034434916044738 0.0265498373765408 0.4937407144790341 0.004228481848408 0.0008123621712918 0.0 0.0 0.0 0.0 7.70863857169e-05 0.0491962949987063 0.0 0.0 0.0049649416386334 0.0 0.0 0.0529158461101083 0.0 0.0 6.0493377908e-05 0.0 0.0 0.0 0.0 0.1050685142521223 0.0470148529620707 0.0 0.0 0.0 6.2596454516e-10 53.758429 33.555306 6.880618 2048 1 601402817317.353891392