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 256 32 8 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3177407739400168 0.0 0.0 0.0292945320500897 0.0098129056350392 0.0 0.0 0.0003663333064042 0.0146941158142031 0.3424201226104702 0.0 0.0 0.0 -0.0004376719566524 0.0023397915311418 0.1146173415347301 0.5824042657550057 0.0039253400842937 0.0072068525485559 0.0 0.0 0.0 0.0 0.0002857878908527 0.0173424409287525 0.0 0.0 0.0108695025756027 0.0 0.0 0.1628513112273631 0.0 0.0 0.0001811807566426 0.0 0.0 0.0 0.0 0.0910610616225833 0.0330995330565641 0.0 1.139484e-10 0.0 6.2727955366e-10 55.330662 34.074439 7.81448 32 8 492064656338.698364709
gtc_bench ANL BGQ Mira 256 64 4 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3160216169785465 0.0 0.0 0.0298239836610906 0.0091711165177439 0.0 0.0 0.0003744103677114 0.0137614480911492 0.3398774690972631 0.0 0.0 0.0 -0.0007518968373596 0.0022468136154204 0.1162777358947923 0.588564474445747 0.0040005867279451 0.0074629139126302 0.0 0.0 0.0 0.0 0.0002645350616346 0.0164550835352815 0.0 0.0 0.0112181346807023 0.0 0.0 0.1647333007183723 0.0 0.0 9.47415235698e-05 0.0 0.0 0.0 0.0 0.0909050261906299 0.0324917430979843 0.0 0.0 0.0 6.259053812e-10 52.560433 31.312498 7.909584 64 4 945683201932.503212676
gtc_bench ANL BGQ Mira 256 128 2 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3209928946345248 0.0 0.0 0.0311813599483444 0.0083316663904146 0.0 0.0 0.0003930746997932 0.0125738102778846 0.3455656791904048 0.0 0.0 0.0 -0.0011961011528916 0.0019997492284394 0.1214651037602122 0.5863340408792935 0.0039832308343622 0.0069788775952064 0.0 0.0 0.0 0.0 0.000201771015068 0.015306157146902 0.0 0.0 0.0107821066899238 0.0 0.0 0.1727977808906635 0.0 0.0 5.63103628153e-05 0.0 0.0 0.0 0.0 0.0935028046880498 0.0322845252443838 0.0 0.0 0.0 6.2736524711e-10 48.277259 27.645019 8.081295 128 2 1787199053764.940384219
gtc_bench ANL BGQ Mira 256 256 1 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3300325654805531 0.0 0.0 0.0321408719964205 0.0082696837494363 0.0 0.0 0.0004026419816725 0.0125276258033191 0.3532889355782697 0.0 0.0 0.0 -0.001549620538557 0.0019811779261267 0.1247694060249565 0.5770126167381061 0.003999265918284 0.0067355762030414 0.0 0.0 0.0 0.0 0.0002168878705506 0.0153652176188743 0.0 0.0 0.0103445097589732 0.0 0.0 0.1759195383263283 0.0 0.0 3.15265961926e-05 0.0 0.0 0.0 0.0 0.0965066541883791 0.0331587802040898 0.0 0.0 0.0 6.2465926414e-10 48.260923 28.465573 7.259571 256 1 3467688172338.5817838