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 27 27 1 number of elements per domain=38.0 2.301 lulesh2.0-ins empirical 2.301 1 2.107531526124928 0.0069502490436059 0.0022285571343036 0.0 0.0004450970478746 0.7557436651127042 0.2563445301384709 0.0 0.000531241030076 0.0 0.0065250286192266 0.0005173261347553 0.009316055699174 0.2498297768025844 0.1469296858818706 0.0 0.1011958269513034 0.0034021591330007 0.2819891576428803 0.00610051308137 0.0037117523555015 0.0028047283894584 0.0060690825120204 0.0033423215692253 0.0028606856428902 0.0 0.0 5.53027789543e-05 0.0 0.0 0.0 0.3614788515665253 0.0114588096890775 0.0 6.68569420267e-05 3.9677664516e-06 0.0 0.0001127871201806 0.0019874412959227 5.37338989626e-05 6.25014362454e-05 0.0 4.31475150266e-05 3.3144626947e-10 133.292377 95.129769 22.144163 27 1 1913877932656.642370143