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-optimized SNL Shepard 1 1 1 number of elements per domain=38.0 2.301 lulesh-v2-ins empirical 2.301 1 1.816840654522273 0.0223796162293895 0.0053914264613948 0.0 0.0014602638195437 0.6707726064792799 0.2439757822623966 0.0 0.0017113826065728 0.0 0.022904051231664 0.0014557319321886 0.0306861641836137 0.0658009705963987 0.0395521983870199 0.0 0.026348963276327 0.0114414625870475 0.4630184967274729 0.0226234513890843 0.0136184520359282 0.0104836739125803 0.0229556909967953 0.0125540575899655 0.0105063339518244 0.0 0.0 8.23855492916e-05 0.0 0.0 0.0 0.0766815811769034 0.0402811545776113 0.0 9.03729569998e-05 7.8128504178e-06 0.0 0.0012095427203986 0.0053645759079088 8.74795645902e-05 7.98881997176e-05 0.0 7.86831458931e-05 4.3806199046e-10 110.199165 74.25784 20.61415 1 1 194838677764.245668127