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 ANL BGQ Mira 16384 256 64 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.3080407410564707 0.0 0.0 0.011806088608557 0.0200123015652008 0.0 0.0 0.0001125530150178 0.0282011161587331 0.3544581030276698 0.0 0.0 0.0 -0.0015575856273385 0.0046355203393778 0.0594016430156473 0.536931177598255 0.0048409193069219 0.0103538591111241 0.0 0.0 0.0 0.0 9.14688979217e-05 0.0331165296568135 0.0 0.0 0.0152629947268261 0.0 0.0 0.0816432207241686 0.0 0.0 0.0001323578939246 0.0 0.0 0.0 0.0 0.0825930803285681 0.0331257757304214 0.0 2.4269255e-09 0.0 7.0345377426e-10 52.259669 31.084688 8.086061 256 64 11199067072.015228909
nekbone ANL BGQ Mira 16384 512 32 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.3512738256381078 0.0 0.0 0.0142718730497791 0.0206051627696927 0.0 0.0 0.000101095665922 0.0285830225078869 0.3869858470343736 0.0 0.0 0.0 -0.0009727672052035 0.0043630418527569 0.0806965007314488 0.4960140195652913 0.0063835980557702 0.0119629854339502 0.0 0.0 0.0 0.0 9.05606187022e-05 0.0339366850260647 0.0 0.0 0.018331167442968 0.0 0.0 0.128558833886856 0.0 0.0 9.11876755942e-05 0.0 0.0 0.0 0.0 0.1055877242395521 0.0347027593102679 0.0 8.003504e-10 0.0 6.8004055352e-10 51.26687 28.692836 9.578642 512 32 12519956281.915473846
nekbone ANL BGQ Mira 16384 1024 16 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.4123384450519206 0.0 0.0 0.0177216347264751 0.0209887750933446 0.0 0.0 8.27901062438e-05 0.0295868484610676 0.2275214470120223 0.0 0.0 0.0 0.0009467217570213 0.0038047433526839 0.111247952654734 0.4064271438414599 0.0066418070852751 0.0135987749096202 0.0 0.0 0.0 0.0 8.08746972658e-05 0.0322452518349269 0.0 0.0 0.0186899357517184 0.0 0.0 0.188868617745765 0.0 0.0 9.28381599681e-05 0.0 0.0 0.0 0.0 0.1424452561630042 0.0379313502850256 0.0 0.0 0.0 6.5325131785e-10 52.609515 30.943841 8.781435 1024 16 15268820326.039239693