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 512 512 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 0.7499296101054563 0.0007022464375247 0.0 0.0 0.0 0.2499632335554041 0.0174857861596472 0.0 2.83934272442e-05 0.0 0.0 0.0 0.0 0.0067431625962486 0.0056925404339374 0.0 0.0009883461621709 0.0006316110563422 0.5209813320660917 0.0018427128782157 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.8171255662e-05 0.0 0.0 0.0 0.0077164459662724 0.000631029942633 0.0 7.50664276894e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3590352738e-10 166.735866 111.78027 13.179904 512 1 2970245688021.150955228
Nekbone-fti ANL Theta 512 512 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 0.7498731224727129 0.0006989182798513 0.0 0.0 0.0 0.2499147087068596 0.0174023247281298 0.0 2.92116917461e-05 0.0 0.0 0.0 0.0 0.0066208776824912 0.0056515393349844 0.0 0.0010304822779874 0.0006309454914267 0.5207659277946435 0.0018375028880624 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.60448171419e-05 0.0 0.0 0.0 0.00727943456386 0.0006264647887372 0.0 0.0001106432502106 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3659325744e-10 167.057261 114.550847 13.53344 512 1 2970750725583.779924207
Nekbone-fti ANL Theta 512 512 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 0.750477349482267 0.0007029712841857 0.0 0.0 0.0 0.2499646163716599 0.0175346476304052 0.0 2.68368297398e-05 0.0 0.0 0.0 0.0 0.0072712377152928 0.005934444394886 0.0 0.0010807871884673 0.000635780788784 0.5202712873507104 0.0018401499550856 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.73630062759e-05 0.0 0.0 0.0 0.0070672496026348 0.0006343379503872 0.0 7.85537486061e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4001163106e-10 170.486013 121.304981 11.330225 512 1 2979864993258.745280997
Nekbone-fti ANL Theta 512 512 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 0.7504571337021874 0.0007054923761907 0.0 0.0 0.0 0.2498673895087899 0.0175612394655146 0.0 2.63592670612e-05 0.0 0.0 0.0 0.0 0.0072656509224789 0.0058631962715521 0.0 0.0011014200322823 0.0006304989954785 0.5139455260611823 0.0018258401339465 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.08623383658e-05 0.0 0.0 0.0 0.0076973196189758 0.0006339781590801 0.0 8.47742004014e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4400090781e-10 178.199368 127.536238 12.126439 512 1 2978098285554.563697193
Nekbone-fti ANL Theta 512 512 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 0.7552905749054726 0.0007199648709362 0.0 0.0 0.0 0.2501115590453452 0.0184467412191686 0.0 2.63134276148e-05 0.0 0.0 0.0 0.0 0.0077463600117896 0.0059997562161826 0.0 0.0015823671310032 0.0006332767032729 0.5166326178730601 0.001854227784606 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.72630363676e-05 0.0 0.0 0.0 0.0088803385068906 0.0006376859449662 0.0 0.000171964669217 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.6121928938e-10 176.19987 131.887546 15.527088 512 1 3043588656150.614584154