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
Nekbone-fti ANL Theta 64 64 1 Element size=256.0, Iters=1000.0, ckp L1=4.0, ckp L2=6.0, ckp L3=8.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.750206341095098 0.0006367760776599 0.0 0.0 0.0 0.2499445234483618 0.0168377519369588 0.0 2.66658752725e-05 0.0 0.0 0.0 0.0 0.0059069942104697 0.0054255840056233 0.0 0.0004877445270359 0.0005880609519448 0.5239981572369675 0.0018475044703858 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.151140729e-05 0.0 0.0 0.0 0.0061555966570586 0.0005895946044706 0.0 3.53622236663e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.2814974556e-10 186.783942 134.116807 10.628277 64 1 2945273646083.123682469
Nekbone-fti ANL Theta 64 64 1 Element size=256.0, Iters=1000.0, ckp L1=5.0, ckp L2=8.0, ckp L3=9.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.75054562302324 0.0006378539850736 0.0 0.0 0.0 0.2498050162656132 0.0168271854495508 0.0 2.73239125287e-05 0.0 0.0 0.0 0.0 0.0059164195808613 0.0054303303938226 0.0 0.0004840106065419 0.0005849475267371 0.5275838905667551 0.0018381573354192 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.13843508782e-05 0.0 0.0 0.0 0.0061990171203378 0.0005866874806865 0.0 3.69069256956e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.2902650967e-10 185.853801 133.629942 10.470409 64 1 2942985325693.005536217
Nekbone-fti ANL Theta 64 64 1 Element size=256.0, Iters=1000.0, ckp L1=3.0, ckp L2=5.0, ckp L3=7.0, ckp L4=11.0 1.301 nekbone empirical 1.301 1 0.750426451393797 0.0006425172655217 0.0 0.0 0.0 0.2498085036415945 0.016873009237574 0.0 2.76309074247e-05 0.0 0.0 0.0 0.0 0.005902864256796 0.0054211319337367 0.0 0.0005160660753027 0.0005900016356713 0.5245328604915093 0.0018547190085089 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.15063474149e-05 0.0 0.0 0.0 0.0061706783515541 0.0005869851354047 0.0 3.9944159075e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.2973385501e-10 172.081006 121.474162 12.014665 64 1 2950601903992.09857265
Nekbone-fti ANL Theta 64 64 1 Element size=256.0, Iters=1000.0, ckp L1=2.0, ckp L2=4.0, ckp L3=6.0, ckp L4=8.0 1.301 nekbone empirical 1.301 1 0.7500931727142721 0.000640129302771 0.0 0.0 0.0 0.2497821784583865 0.0168446858662214 0.0 2.77892632455e-05 0.0 0.0 0.0 0.0 0.0059110572667523 0.0054264614952404 0.0 0.0004806504895227 0.0005895571452206 0.5232592415724022 0.001849420721196 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.13820553866e-05 0.0 0.0 0.0 0.0061634558780106 0.0005897527699927 0.0 4.05625591871e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3137473658e-10 182.640476 127.109349 14.101422 64 1 2947926682676.939669471
Nekbone-fti ANL Theta 64 64 1 Element size=256.0, Iters=1000.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0 1.301 nekbone empirical 1.301 1 0.7522051958834667 0.0006430075728076 0.0 0.0 0.0 0.2495374958714266 0.016978468657025 0.0 2.72925445957e-05 0.0 0.0 0.0 0.0 0.0059834465345857 0.0054468953662785 0.0 0.0005536102933016 0.000589583835886 0.5224283413587711 0.0018728584620765 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.39828063111e-05 0.0 0.0 0.0 0.0063133045762612 0.0005905907425148 0.0 4.48787969044e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4328526042e-10 167.956132 120.675241 13.472898 64 1 2959576153517.39655852