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
CG ANL Mira 512 512 1 ClassE=9000000.0, no. of iterations=100.0 1.6 cg-512-classE empirical 1.6 1 0.226936389748738 0.0 0.0 0.006682805995897 0.011515968510816 0.0 0.0 7.96336942e-08 0.011517791344666 0.227335667064678 0.0 0.0 0.0 0.0 0.0005576570059736 0.015223104548515 0.67276116468607 0.00204006086335 0.012824489037929 0.0 0.0 0.0 0.0 4.0724418067e-06 0.012311922221624 0.0 0.0 0.015015235824652 0.0 0.0 0.020456242491923 0.0 0.0 7.5597818018e-05 0.0 0.0 0.0 0.0 0.158405125409331 0.025213077176041 0.0 0.0 0.0 1.44487885726e-09 51.897233 30.895726 8.072271 512 1 876890123787.04117740119253048
CG ANL Mira 512 512 1 ClassE=9000000.0, no. of iterations=100.0 1.6 cg-512-classE empirical 1.6 1 0.226936389748738 0.0 0.0 0.006682805995897 0.011515968510816 0.0 0.0 7.96336942e-08 0.011517791344666 0.227335667064678 0.0 0.0 0.0 0.0 0.0005576570059736 0.015223104548515 0.67276116468607 0.00204006086335 0.012824489037929 0.0 0.0 0.0 0.0 4.0724418067e-06 0.012311922221624 0.0 0.0 0.015015235824652 0.0 0.0 0.020456242491923 0.0 0.0 7.5597818018e-05 0.0 0.0 0.0 0.0 0.158405125409331 0.025213077176041 0.0 0.0 0.0 1.44487885726e-09 53.580161 32.199179 7.94173 512 1 876890123787.04117740119253048
CG ANL Mira 512 512 1 ClassE=9000000.0, no. of iterations=100.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0 1.6 cg-512-classE empirical 1.6 1 0.20314741990653 0.0 0.0 0.005971158547299 0.019181943685146 0.0 0.0 8.95564535e-08 0.017268960028152 0.27167721858739 0.0 0.0 0.0 0.0 0.0007962099890663 0.01355850987377 0.059593530597739 0.0017982242241078 0.012479933663896 0.0 0.0 0.0 0.0 4.8371473553e-06 0.017830625374089 0.0 0.0 0.013131127761472 0.0 0.0 0.018087106694319 0.0 0.0 6.71679835093e-05 0.0 0.0 0.0 0.0 0.15047818047171 0.025924205095872 0.0 0.0 0.0 1.31298157899e-09 51.82876 30.512213 7.967166 512 1 990112900898.43760786607682946
CG ANL Mira 512 512 1 ClassE=9000000.0, no. of iterations=100.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0 1.6 cg-512-classE empirical 1.6 1 0.30890196339546 0.0 0.0 0.005976965228619 0.020936575479656 0.0 0.0 1.03580214e-07 0.019870995444203 0.2810521183811 0.0 0.0 0.0 0.0 0.0009261382733344 0.013524026455523 0.059744118423927 0.0017936866875969 0.011941055296752 0.0 0.0 0.0 0.0 7.5321018328e-06 0.018951616243202 0.0 0.0 0.013260372464083 0.0 0.0 0.017786089376146 0.0 0.0 6.6370041345e-05 0.0 0.0 0.0 0.0 0.1585174613867 0.028697446886831 0.0 0.0 0.0 1.33801121596e-09 51.600388 30.980901 7.342213 512 1 1002981129001.327628004018992559