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
gtc_bench ANL BGQ Mira 1024 64 16 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3083360668334007 0.0 0.0 0.0252819871179203 0.013335599720906 0.0 0.0 0.0003127763927168 0.0200201797431689 0.3352477255292122 0.0 0.0 0.0 0.0016822392104279 0.0030952836674399 0.1002331687285507 0.576293508861693 0.0037568191946778 0.0100940326928371 0.0 0.0 0.0 0.0 0.000328836451667 0.0225262193704448 0.0 0.0 0.0135340347987942 0.0 0.0 0.1421544167229702 0.0 0.0 0.0002942857927625 0.0 0.0 0.0 0.0 0.0849433656695641 0.0349829894701757 0.0 6.309585e-10 0.0 6.2816596649e-10 54.529654 33.654372 7.633271 64 16 298750202989.527134832
gtc_bench ANL BGQ Mira 1024 128 8 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3167603579872212 0.0 0.0 0.0288683598245395 0.0103472500146703 0.0 0.0 0.0003533353124925 0.0163928344629413 0.3410420856395641 0.0 0.0 0.0 0.0004248619010692 0.0024295981275568 0.1109407087486514 0.5823778383271546 0.003834584211041 0.008582175640023 0.0 0.0 0.0 0.0 0.0002838673927585 0.0190382323513392 0.0 0.0 0.0121524281186824 0.0 0.0 0.1574301756683092 0.0 0.0 0.0001918980230546 0.0 0.0 0.0 0.0 0.0896486032260205 0.0338806432132531 0.0 1.097113e-10 0.0 6.2601617949e-10 53.929916 32.262613 8.281987 128 8 510158776183.997314341
gtc_bench ANL BGQ Mira 1024 256 4 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3269528608343892 0.0 0.0 0.0302931755672355 0.0095855473182083 0.0 0.0 0.0003860865357038 0.0143881734085683 0.3503422076846187 0.0 0.0 0.0 -0.0006032199128776 0.0022029351401217 0.1202479385244035 0.5778048695943487 0.0037184225994985 0.0075829241629212 0.0 0.0 0.0 0.0 0.0002294281983418 0.0171770708956021 0.0 0.0 0.0112451366410075 0.0 0.0 0.170526133245665 0.0 0.0 0.0001159924771799 0.0 0.0 0.0 0.0 0.0935666029365027 0.033680954163528 0.0 0.0 0.0 6.33322109e-10 49.038262 28.127101 8.359668 256 4 916109592188.577771568
gtc_bench ANL BGQ Mira 1024 512 2 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3405598798711759 0.0 0.0 0.032015780202999 0.0092493955288328 0.0 0.0 0.0004006118491249 0.0141552188235059 0.3646351415649399 0.0 0.0 0.0 -0.0012241899186312 0.0022130121213112 0.1242284679073785 0.562713408754013 0.0036061012054186 0.0071858943719663 0.0 0.0 0.0 0.0 0.0003053910507252 0.0171511579992941 0.0 0.0 0.0104545145619786 0.0 0.0 0.1761660812498638 0.0 0.0 6.09175950955e-05 0.0 0.0 0.0 0.0 0.0991078013736147 0.0350820524488871 0.0 0.0 0.0 6.2402919369e-10 50.905864 30.262825 7.335689 512 2 1745938746162.637082185
gtc_bench ANL BGQ Mira 1024 1024 1 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3573436443693304 0.0 0.0 0.033042585880844 0.0095683650260294 0.0 0.0 0.0004155118329166 0.0145845193101016 0.3814609277443294 0.0 0.0 0.0 -0.0016357785618405 0.0023087094244453 0.1283298289607179 0.543099555654821 0.0034757934455482 0.006959497558429 0.0 0.0 0.0 0.0 0.0004904317639224 0.0179408652898508 0.0 0.0 0.0099419555559614 0.0 0.0 0.1819716331438501 0.0 0.0 3.21622055413e-05 0.0 0.0 0.0 0.0 0.1042484745053371 0.0370787754269226 0.0 0.0 0.0 6.2485370987e-10 50.97075 31.103054 6.436014 1024 1 3354125200658.625002139