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
Lulesh SNL Shepard 54 27 2 number of elements per domain=38.0 2.301 lulesh2.0-ins empirical 2.301 1 2.144459945634695 0.0056419014566464 0.0017743607677754 0.0 0.0002701959422711 0.8245605144559401 0.2699790290944762 0.0 0.0002674839138284 0.0 0.0029001298620097 0.0003170661356982 0.0043392599308253 0.2477756349089884 0.1451968023796279 0.0 0.1277420594957524 0.0018705980908061 0.2302790804728432 0.0034272588582062 0.0019607228512746 0.0015448440914594 0.0033561191648591 0.0018711351250175 0.0015486883239842 0.0 0.0 6.5841607637e-05 0.0 0.0 0.0 0.4198316587038892 0.0059973304099661 0.0 3.58019831248e-05 2.9137974434e-06 0.0 6.17145343879e-05 0.0017546626571336 9.89438477415e-05 6.61136592944e-05 0.0 4.44678210007e-05 2.9989619665e-10 139.733398 99.698727 23.898542 27 2 1331543502254.01566459