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
PMLB ANL BGQ Mira 256 32 8 Each size of 3D mesh=128.0 1.6 hybrid-p empirical 1.6 1 0.2511564860871894 0.0 0.0 0.0130964005369468 0.0125742217019051 0.0 0.0 3.27414858e-07 0.0209267486178544 0.2700205642579767 0.0 0.0 0.0 0.0043485341058589 0.0024421005583812 0.0524046874295524 0.6188298375998444 0.0065952268653771 0.0112807805419939 0.0 0.0 0.0 0.0 0.0003352574239265 0.0231130520609583 0.0 0.0 0.0188194550502065 0.0 0.0 0.0724504356365082 0.0 0.0 8.8095779564e-06 0.0 0.0 0.0 0.0 0.0505841293989101 0.0273144997521017 0.0 0.0 0.0 1.8390279427e-09 56.229631 33.382481 9.782497 32 8 7256535200.007540374824126375
PMLB ANL BGQ Mira 256 256 1 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1884135800464352 0.0 0.0 0.018452197597659 0.0032155743899257 0.0 0.0 7.293856e-09 0.0045722379085163 0.1995652482767966 0.0 0.0 0.0 0.0008264240690171 0.0002888615314821 0.0694876178574756 0.7506667635787015 0.0075704798377044 0.0058882295890556 0.0 0.0 0.0 0.0 4.03332223052e-05 0.0049204280788669 0.0 0.0 0.0134138113794579 0.0 0.0 0.1025135726729002 0.0 0.0 3.725302074e-07 0.0 0.0 0.0 0.0 0.0415871783819213 0.0155932375739022 0.0 0.0 0.0 6.5098078121e-10 50.589799 30.465763 7.296367 256 1 329734133780.450012865
PMLB ANL BGQ Mira 256 128 2 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1806830728434036 0.0 0.0 0.0168737576535828 0.003651196025699 0.0 0.0 6.6926833e-09 0.0054935547497218 0.1909100185523823 0.0 0.0 0.0 0.0009279019985915 0.0004430669081311 0.0634560882366882 0.7593840786707485 0.0070491598771496 0.0059298884881217 0.0 0.0 0.0 0.0 7.581778754e-05 0.0058585485350099 0.0 0.0 0.0129473008075356 0.0 0.0 0.0936549578978965 0.0 0.0 2.085087278e-07 0.0 0.0 0.0 0.0 0.0397816497322362 0.0158510140111376 0.0 0.0 0.0 6.5012258904e-10 51.471623 30.73032 7.913324 128 2 356769204624.159324227
PMLB ANL BGQ Mira 256 64 4 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1763758475298199 0.0 0.0 0.0160104170114007 0.0040486957102408 0.0 0.0 6.3835526e-09 0.0060823924416563 0.1868431214595437 0.0 0.0 0.0 0.0010693259157716 0.0005196046632993 0.0603970332270876 0.7639080469608378 0.0067859353921135 0.0061499883560808 0.0 0.0 0.0 0.0 6.60620717957e-05 0.0065376284477002 0.0 0.0 0.012862479656602 0.0 0.0 0.088991785056853 0.0 0.0 2.170771224e-07 0.0 0.0 0.0 0.0 0.0388365309633288 0.0159449443449059 0.0 0.0 0.0 6.4844202793e-10 52.215445 30.744176 8.938264 64 4 376462151565.463228441
PMLB ANL BGQ Mira 256 32 8 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1396475191342179 0.0 0.0 0.0109838989808194 0.0053221410892805 0.0 0.0 4.4304032e-09 0.0075608146390538 0.1580722620097406 0.0 0.0 0.0 0.0010037692751578 0.0005158816600253 0.0420293923286656 0.7942524161815536 0.0048392833200595 0.0050040932952249 0.0 0.0 0.0 0.0 3.20362453417e-05 0.0074391495439281 0.0 0.0 0.009752030961183 0.0 0.0 0.0617852413754004 0.0 0.0 2.5241384115e-06 0.0 0.0 0.0 0.0 0.0311748628725181 0.0130694310029112 0.0 0.0 0.0 6.2669792733e-10 52.165768 31.137607 7.986375 32 8 538987273245.175741309