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 32 32 1 Each size of 3D mesh=128.0 1.6 hybrid-p empirical 1.6 1 0.2479325515906733 0.0 0.0 0.0224084165321664 0.0050197086303301 0.0 0.0 6.89628284e-08 0.0078888693400853 0.2619653499735515 0.0 0.0 0.0 0.0018608926809339 0.0006614813089169 0.0840790971935919 0.672050563624537 0.0084605653391835 0.006108573229765 0.0 0.0 0.0 0.0 8.21897818625e-05 0.0083422236501336 0.0 0.0 0.0145222287340285 0.0 0.0 0.1246917571984701 0.0 0.0 1.5969186628e-06 0.0 0.0 0.0 0.0 0.0541654380618418 0.0209490242726677 0.0 0.0 0.0 8.8412644209e-10 51.519895 31.190101 7.37941 32 1 34626960061.990288935
PMLB ANL BGQ Mira 32 32 1 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1683848529764709 0.0 0.0 0.0170832314240882 0.0026592812177958 0.0 0.0 8.525179e-10 0.003318602186367 0.1817736383629392 0.0 0.0 0.0 0.0004322932380422 0.000253701086482 0.0646573209260732 0.7785593540475476 0.0069224029260908 0.0051344574540585 0.0 0.0 0.0 0.0 1.16408656377e-05 0.0033620181477701 0.0 0.0 0.0120406835778413 0.0 0.0 0.095243545142971 0.0 0.0 2.203550057e-07 0.0 0.0 0.0 0.0 0.0378677668176186 0.0137611591764687 0.0 0.0 0.0 6.2811442683e-10 49.849754 30.050914 7.007154 32 1 2815967999535.719245502
PMLB systemg 32 4 8 Each size of 3D mesh=128.0 2.4 hybrid-orig empirical 2.4 1 0.500281446110214 0.006556580423636 0.0045284322929788 0.0377816364935166 0.0494772496431846 0.0016296712584851 0.0032741824470249 0.0042229697417129 0.053292566152564 0.5474339567403568 0.0004715402816118 0.0002052055664567 0.0002206970030227 0.0327178607017871 0.0005857697231316 0.0652909191296792 0.5969200773554898 0.009574105907294 0.0016023001744652 0.0016023001744652 0.010546026120358 0.0090390316448093 0.0015069944755487 9.21762880744e-05 0.0802506464180751 0.237128824164218 0.244397433804733 0.007268609640515 1.223133493970096 0.978908774170525 0.0632004609628705 0.000155883659525 2.25202799459e-05 0.0006322347913134 0.0050699106389835 1.14676380079e-05 0.006426685565098 0.0115374936296991 0.1443433797622901 0.0708775472140734 1.0534989641e-05 1.0971521568e-06 0.0 6.2061784209e-10 293.4214 102.1381 100.269 4 8 68536637388.249148395
PMLB systemg 32 4 8 Each size of 3D mesh=128.0 2.8 hybrid-orig empirical 2.8 1 0.458975238375892 0.0062612076701349 0.0043227430197173 0.0317047818060172 0.0469757983450293 0.0014119766579567 0.0028172733611253 0.0034149208019289 0.0522912514553039 0.4883884708455456 0.0004980437331585 0.0001547087499769 0.0001924938694603 0.0347672465603715 0.0005539083281777 0.0570094164931834 0.5693734370309761 0.0084116387694528 0.0014036953636996 0.0014036953636996 0.0088310327204967 0.0075532669275224 0.0012777657929743 6.02957838692e-05 0.0807505431501292 0.2130503905961265 0.2192053825320721 0.0061549919359457 1.191376451439027 0.9779286288098132 0.0580380671841937 0.0001911723870508 2.55899739748e-05 0.0005369052884875 0.0039891063804092 9.0531419204e-06 0.0045256960141085 0.0081550537961577 0.1385229523085941 0.0677516772287499 8.5324488852e-06 1.0538768744e-06 0.0 5.6524403746e-10 313.465 117.105 99.4425 4 8 72571589050.867013457