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 108 27 4 number of elements per domain=38.0 2.301 lulesh-v2-ins empirical 2.301 1 1.77512357045143 0.0189529487078537 0.0049486053608684 0.0 0.0014278943022819 0.8582874966331141 0.2770381605029 0.0 0.0013939831600241 0.0 0.0073105818536072 0.0010447552245505 0.0100905777060419 0.2678162458062545 0.1553520218595054 0.0 0.1297131420487988 0.0020553135586663 0.2233426101821798 0.0037261235947254 0.0022460456707056 0.0018436519684675 0.0035926037525709 0.0018420013542923 0.0016923704479017 0.0 0.0 7.07664921317e-05 0.0 0.0 0.0 0.4576805238080212 0.0058686443109644 0.0 2.22160573019e-05 3.7568121594e-06 0.0 9.63826460978e-05 0.0010593181122842 6.18359521972e-05 6.94322320895e-05 0.0 0.0001686750478234 4.5719307975e-10 118.379727 81.540645 21.563875 27 4 264384951027.903217076