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
la ANL Mira 512 512 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3653403355127828 0.0 0.0 6.66255522814e-05 0.0478498806627975 0.0 0.0 9.5327326233e-06 0.0533287609676209 0.3883254516971434 0.0 0.0 0.0 -0.0001309893971441 0.0020035176639799 0.038770963248429 0.5233939666711334 0.006129790393807 0.0005627822438043 0.0 0.0 0.0 0.0 1.46273790447e-05 0.0562017989594333 0.0 0.0 0.0066803784388664 0.0 0.0 0.0775608792936162 0.0 0.0 3.06127996974e-05 0.0 0.0 0.0 0.0 0.1088159356673665 0.0380427367984427 0.0 0.0 0.0 6.2559737301e-10 53.728851 33.204788 7.204294 512 1 1617505777128.359108741
la ANL Mira 1024 1024 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3667017905835661 0.0 0.0 0.0001097842861038 0.0467893183946881 0.0 0.0 8.8057575062e-06 0.0550440005368018 0.392582514638165 0.0 0.0 0.0 0.001456719110448 0.0024951793707717 0.034504235725334 0.5109504119339435 0.0049190240328925 0.0006898394190583 0.0 0.0 0.0 0.0 2.62990775954e-05 0.058439349480281 0.0 0.0 0.005578622380448 0.0 0.0 0.0687560524190122 0.0 0.0 4.04735869659e-05 0.0 0.0 0.0 0.0 0.107884102541727 0.0396554648551054 0.0 0.0 0.0 6.2567026579e-10 54.143773 33.723042 7.097374 1024 1 922313067365.240182513
la ANL Mira 2048 2048 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.357014089224064 0.0 0.0 8.51332296463e-05 0.0387663607850009 0.0 0.0 7.5285384009e-06 0.0441045401180336 0.3901615659897502 0.0 0.0 0.0 -0.0048482468640852 0.0034434916044738 0.0265498373765408 0.4937407144790341 0.004228481848408 0.0008123621712918 0.0 0.0 0.0 0.0 7.70863857169e-05 0.0491962949987063 0.0 0.0 0.0049649416386334 0.0 0.0 0.0529158461101083 0.0 0.0 6.0493377908e-05 0.0 0.0 0.0 0.0 0.1050685142521223 0.0470148529620707 0.0 0.0 0.0 6.2596454516e-10 53.758429 33.555306 6.880618 2048 1 601402817317.353891392
la ANL Mira 4096 4096 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3489842531000309 0.0 0.0 0.0001193586986281 0.0348721596344102 0.0 0.0 6.1261156413e-06 0.0411331567091662 0.38538473438859 0.0 0.0 0.0 -0.0055657163214104 0.0040162321112789 0.0207457054595982 0.4887713002804372 0.003640171820244 0.0008808537387189 0.0 0.0 0.0 0.0 0.0001155930285084 0.0470384583065204 0.0 0.0 0.0044061165760137 0.0 0.0 0.0412027184097249 0.0 0.0 7.50232114172e-05 0.0 0.0 0.0 0.0 0.1017831174457586 0.04958245962307 0.0 0.0 0.0 6.2725832474e-10 56.170711 35.869378 6.711173 4096 1 413522459199.749703429
la ANL Mira 8192 8192 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3437483354286161 0.0 0.0 7.33163182838e-05 0.0319140083987021 0.0 0.0 4.9404155406e-06 0.0424728586508486 0.3838450954796413 0.0 0.0 0.0 -0.0033743084492308 0.0047355936241595 0.0125322139346835 0.4803727740238898 0.002634798024178 0.0007922259712738 0.0 0.0 0.0 0.0 4.73240978172e-05 0.0493037074656146 0.0 0.0 0.0033319852150473 0.0 0.0 0.0248853301528838 0.0 0.0 4.20677441332e-05 0.0 0.0 0.0 0.0 0.0986500442248078 0.0517411999800525 0.0 0.0 0.0 6.2836007416e-10 55.350196 33.606226 8.038403 8192 1 303037544602.991425683
la ANL Mira 16384 16384 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3323962790476261 0.0 0.0 8.35691733555e-05 0.0269608168088772 0.0 0.0 3.5115788118e-06 0.0348645001991207 0.3737103101005625 0.0 0.0 0.0 -0.0073812936480111 0.0051693588720758 0.0083752949642607 0.4785005512700156 0.0024085211321808 0.000798388199762 0.0 0.0 0.0 0.0 0.0001089479316463 0.0425770093582023 0.0 0.0 0.0031128380794255 0.0 0.0 0.0165474278220541 0.0 0.0 5.58738770384e-05 0.0 0.0 0.0 0.0 0.0955558417582496 0.0551658477889824 0.0 0.0 0.0 6.2697335123e-10 54.332722 34.141488 6.869321 16384 1 262210474619.824138008