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 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 0.357380111719017 0.0 0.0 8.28992862388e-05 0.0387192517254636 0.0 0.0 6.6522424198e-06 0.0441273888753443 0.3892849625813787 0.0 0.0 0.0 -0.0048539809673178 0.0034740363425389 0.0263653181931018 0.4922359887416983 0.0052543361770667 0.0008625811821947 0.0 0.0 0.0 0.0 0.0011198203230286 0.0492571727670074 0.0 0.0 0.005006714701282 0.0 0.0 0.0525424864082866 0.0 0.0 6.39133752632e-05 0.0 0.0 0.0 0.0 0.1051220786014105 0.047197587480424 0.0 8.256e-13 0.0 6.2554153342e-10 54.107472 32.831726 8.042006 2048 1 1210972642949.019805471