MuMMI

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 128 128 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 0.7501314524815855 0.0006785044637304 0.0 0.0 0.0 0.2497258536648154 0.0170047510491476 0.0 2.60537439628e-05 0.0 0.0 0.0 0.0 0.0061168685056848 0.0055001368457375 0.0 0.0006339644138042 0.0006176484602449 0.5255008439611727 0.0018424816491294 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.73221802467e-05 0.0 0.0 0.0 0.0063899852560703 0.0006164858805693 0.0 6.11534841624e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.2785760468e-10 172.233155 120.165773 11.008627 128 1 2953058208335.926677125
Nekbone-fti ANL Theta 128 128 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 0.7501793074329132 0.0006777145804903 0.0 0.0 0.0 0.2499460390236154 0.0170355304790859 0.0 2.9328658982e-05 0.0 0.0 0.0 0.0 0.0060760115022811 0.0054801840863429 0.0 0.0006140007278292 0.0006199911606948 0.5239801295223466 0.0018506331673506 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.6445610531e-05 0.0 0.0 0.0 0.0063543419959017 0.0006143716263528 0.0 9.06872816832e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.270871162e-10 172.355644 120.064366 10.940065 128 1 2956420728831.503396126
Nekbone-fti ANL Theta 128 128 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 0.750255201725396 0.0006784727491675 0.0 0.0 0.0 0.2495503588578142 0.0171172924656001 0.0 2.88470808233e-05 0.0 0.0 0.0 0.0 0.0061912041755026 0.0055267006064172 0.0 0.0006586456406164 0.0006180987619632 0.5235688680649109 0.0018588732815445 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.78614181897e-05 0.0 0.0 0.0 0.0065266161194981 0.0006190390723533 0.0 6.17651392944e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.2855407933e-10 180.594287 127.57385 10.706224 128 1 2960448584658.946047933
Nekbone-fti ANL Theta 128 128 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 0.7502720704998845 0.0006741081120442 0.0 0.0 0.0 0.249709901289269 0.0170082710351406 0.0 2.67918657324e-05 0.0 0.0 0.0 0.0 0.0061317535077677 0.0055031978344324 0.0 0.000705891130947 0.0006195083850467 0.5233278575824302 0.001852699549348 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.72093745609e-05 0.0 0.0 0.0 0.006457553718309 0.000618873792366 0.0 7.08825750932e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3026882557e-10 181.298559 122.304833 13.01789 128 1 2957103045326.42655828
Nekbone-fti ANL Theta 128 128 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 0.7525607184712739 0.0006799582284757 0.0 0.0 0.0 0.2495862535071235 0.0173814415843765 0.0 2.77360629758e-05 0.0 0.0 0.0 0.0 0.0065823334830505 0.0056454699316376 0.0 0.0008841487277893 0.0006215544410269 0.5236971092271867 0.001866790930771 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.08756946038e-05 0.0 0.0 0.0 0.007033305102993 0.0006234317479296 0.0 8.95819623418e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4209235858e-10 178.323905 127.703923 13.418339 128 1 2977043095050.057104713