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 Theta 64 64 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.217160123268143 0.003522148008926 0.0 0.0 0.0 0.788359460158596 0.0539314164551168 0.0 0.0003167707897897 0.0 0.0 0.0 0.0 0.0620212816603132 0.0258481981284539 0.0 0.0356364985438221 0.0027778712164207 0.0902168318343537 0.136221845875795 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0006560680645639 0.0 0.0 0.0 0.0933089873130733 0.0028010004353005 0.0 0.002366302531378 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.1121253421e-10 298.332734 201.007366 21.342616 64 1 3384778836872.848964457
la ANL Theta 128 128 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.152524865009888 0.0032724733142638 0.0 0.0 0.0 0.652540462710583 0.0721812518185639 0.0 0.0002765923384886 0.0 0.0 0.0 0.0 0.0655666501156871 0.0227953017104075 0.0 0.042843020778044 0.0025770902265444 0.129146663734662 0.1071788347352799 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0007642854446472 0.0 0.0 0.0 0.0898431086556223 0.0025603994740603 0.0 0.0012971125222128 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.6216513091e-10 268.044889 183.104547 18.074428 128 1 2281429330050.692964206
la ANL Theta 256 256 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.145380369480124 0.0037628314352076 0.0 0.0 0.0 0.6135099657044769 0.077145989297902 0.0 0.0003129000938806 0.0 0.0 0.0 0.0 0.0785754162721972 0.0266796649442654 0.0 0.0519810061839951 0.0028803449093348 0.1296966749114248 0.0922429432999931 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0009773856853428 0.0 0.0 0.0 0.1089766332658203 0.002867100833419 0.0 0.0019313347701473 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5199320422e-10 266.51158 187.246011 13.645908 256 1 1366637374158.157654953
la ANL Theta 512 512 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.127160680517189 0.0030382961323627 0.0 0.0 0.0 0.5145367701400575 0.0990183936349517 0.0 0.0002308005775657 0.0 0.0 0.0 0.0 0.1011070802370431 0.0321311982461131 0.0 0.0693767573929822 0.0021392804338112 0.1326494901834807 0.0631377658524199 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0011381994741404 0.0 0.0 0.0 0.1427485403821394 0.0021267162158272 0.0 0.0017842390923461 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4862752353e-10 230.125782 159.371786 14.838777 512 1 1088343497121.435577417
la ANL Theta 1024 1024 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.111021205787406 0.002934613596667 0.0 0.0 0.0 0.4539821324744848 0.1111095010182887 0.0 0.000215439485166 0.0 0.0 0.0 0.0 0.1157486524946606 0.0361936104099697 0.0 0.0802435649181419 0.001722766862947 0.1308234670895124 0.0443347177854609 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013718419853026 0.0 0.0 0.0 0.1578835261766612 0.0018065554785719 0.0 0.0020521968221163 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3822630369e-10 221.130317 161.81267 10.748416 1024 1 878737021097.000191069
la ANL Theta 2048 2048 1 max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0 1.301 testing_ftdqr.x empirical 1.301 1 1.115443657393524 0.0019388567873355 0.0 0.0 0.0 0.3905386995395251 0.1261421650639601 0.0 0.0001188896794341 0.0 0.0 0.0 0.0 0.1319760415179931 0.039713082182118 0.0 0.0925142407420493 0.0010175396827047 0.1369141976111897 0.0230245480003315 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013155889291861 0.0 0.0 0.0 0.1867864253902478 0.001007465952815 0.0 0.0024801376495863 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3925211166e-10 191.584425 140.129566 12.033081 2048 1 997185263826.534714995