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 512 32 16 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.3919333924649654 0.0 0.0 0.019937231661349 0.0218377510961468 0.0 0.0 9.03115820163e-05 0.0305277309520123 0.4736276638252973 0.0 0.0 0.0 0.0010760370124197 0.004052306242257 0.0753994412680198 0.5474161178455117 0.0071477774012815 0.0136194308256487 0.0 0.0 0.0 0.0 8.49276981701e-05 0.034610780602386 0.0 0.0 0.0206916453541984 0.0 0.0 0.2036829029397838 0.0 0.0 6.63275046338e-05 0.0 0.0 0.0 0.0 0.1535129481229046 0.0395683874473165 0.0 0.0 0.0 6.7484389891e-10 52.963404 31.398205 8.571518 32 16 15872921155.991013714
nekbone ANL BGQ Mira 512 64 8 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.4759996371979505 0.0 0.0 0.0222385697257423 0.0217153352498133 0.0 0.0 6.14051296026e-05 0.0294765606287194 0.5106499691064873 0.0 0.0 0.0 0.0019755518929355 0.0031799739679154 0.1495553202739648 0.3299907190393521 0.0084295564403899 0.0146939911160858 0.0 0.0 0.0 0.0 8.01561927183e-05 0.0322378383220626 0.0 0.0 0.0230070246376254 0.0 0.0 0.2621855309671555 0.0 0.0 4.76937369266e-05 0.0 0.0 0.0 0.0 0.1825598944633506 0.0400657877637368 0.0 0.0 0.0 6.724931993e-10 53.367985 33.192323 7.140235 64 8 20682176436.100057971
nekbone ANL BGQ Mira 512 128 4 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5075875021887426 0.0 0.0 0.0246324237201458 0.0218902121903502 0.0 0.0 3.71219384946e-05 0.0283710906653162 0.5393230314106164 0.0 0.0 0.0 0.0027174947980295 0.0024926033200189 0.1712468368022439 0.2999682988473242 0.0094937727418423 0.0155866794953718 0.0 0.0 0.0 0.0 7.15036492862e-05 0.0301856819607731 0.0 0.0 0.0249660155252095 0.0 0.0 0.3086032026797071 0.0 0.0 2.53572562431e-05 0.0 0.0 0.0 0.0 0.2081978331559754 0.0406797114717687 0.0 0.0 0.0 8.8811723693e-10 49.619804 29.007231 7.615252 128 4 34069640517.949855798
nekbone ANL BGQ Mira 512 256 2 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5242349388523762 0.0 0.0 0.0260646114489643 0.0218532834951467 0.0 0.0 2.06128775922e-05 0.0274528219908839 0.555945914381357 0.0 0.0 0.0 0.0032068272768665 0.0019518059418613 0.1856314834764795 0.2815427774922681 0.0101811945475506 0.0159702957695493 0.0 0.0 0.0 0.0 6.49146110819e-05 0.0286657570579792 0.0 0.0 0.0260612800495039 0.0 0.0 0.3375477383416919 0.0 0.0 2.39643143972e-05 0.0 0.0 0.0 0.0 0.2239536274477269 0.0404931749978478 0.0 0.0 0.0 6.4050811441e-10 54.257261 32.828819 8.360972 256 2 61272778778.378068605
nekbone ANL BGQ Mira 512 512 1 number of elements per node=512.0 1.6 nekbone-inst empirical 1.6 1 0.5345192583139854 0.0 0.0 0.0268477049635281 0.0217835821841325 0.0 0.0 1.09209600407e-05 0.0268965605270751 0.5654019061029946 0.0 0.0 0.0 0.0034847568729721 0.0016541800340025 0.1936868648601124 0.2703582407509167 0.0105229620210437 0.016110691373779 0.0 0.0 0.0 0.0 6.11876619376e-05 0.027739513980595 0.0 0.0 0.0265979222703123 0.0 0.0 0.354231493821787 0.0 0.0 9.6945428147e-06 0.0 0.0 0.0 0.0 0.2327352808478254 0.0404247289779581 0.0 0.0 0.0 6.3050539005e-10 47.869353 27.880434 7.212999 512 1 115733748119.446389814