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 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
ftla 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 0.357380111719017 0.0 0.0 8.28992862388e-05 0.0387192517254636 0.0 0.0 6.6522424198e-06 0.0441273888753443 0.3892849625813787 0.0 0.0 0.0 -0.0048539809673178 0.0034740363425389 0.0263653181931018 0.4922359887416983 0.0052543361770667 0.0008625811821947 0.0 0.0 0.0 0.0 0.0011198203230286 0.0492571727670074 0.0 0.0 0.005006714701282 0.0 0.0 0.0525424864082866 0.0 0.0 6.39133752632e-05 0.0 0.0 0.0 0.0 0.1051220786014105 0.047197587480424 0.0 8.256e-13 0.0 6.2554153342e-10 54.107472 32.831726 8.042006 2048 1 1210972642949.019805471
ftla-rSC13 ANL Mira 2048 2048 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=1.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3554461574803444 0.0 0.0 7.93111696774e-05 0.0380459740122412 0.0 0.0 6.2548323944e-06 0.0436171705135581 0.3889208735969576 0.0 0.0 0.0 -0.0049312215004543 0.0035591551076257 0.025362717105125 0.4922400656377618 0.0050495184108568 0.0008957325331975 0.0 0.0 0.0 0.0 0.0010200845138757 0.0488750101730978 0.0 0.0 0.0049399618992855 0.0 0.0 0.0505306108598019 0.0 0.0 6.66799332839e-05 0.0 0.0 0.0 0.0 0.1043775230576679 0.0475000315317846 0.0 1.5873e-12 0.0 6.2555934972e-10 56.672296 35.790781 7.495417 2048 1 1889991601163.339095364
ftla-rSC13 ANL Mira 2048 2048 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=2.0 1.6 testing_ftdqr.x empirical 1.6 1 0.35393427256292 0.0 0.0 7.57046080677e-05 0.0373671935521768 0.0 0.0 5.9859022984e-06 0.0431301911488503 0.3879899472429688 0.0 0.0 0.0 -0.0050451442780498 0.0036637870101812 0.0242522792106387 0.4915136062130974 0.0049907427604891 0.0009242418847525 0.0 0.0 0.0 0.0 0.0010568689171813 0.0485263048493302 0.0 0.0 0.0048548909326052 0.0 0.0 0.0483305820824065 0.0 0.0 6.84802736883e-05 0.0 0.0 0.0 0.0 0.1037623482279844 0.0479397878215907 0.0 3.4123e-12 0.0 6.2527726409e-10 53.32273 33.021807 7.028581 2048 1 2637424633374.534121868
ftla-rSC13 ANL Mira 2048 2048 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=3.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3529351053211268 0.0 0.0 7.23912530726e-05 0.0367713159445054 0.0 0.0 5.7892042451e-06 0.042687949982044 0.3875709899411931 0.0 0.0 0.0 -0.0051673265718746 0.0037695778792359 0.0231994018518559 0.4901011537318831 0.0048966657603146 0.0009337417409775 0.0 0.0 0.0 0.0 0.0010792454766474 0.0482369910139154 0.0 0.0 0.004751627850863 0.0 0.0 0.0462363384263512 0.0 0.0 6.99022035938e-05 0.0 0.0 0.0 0.0 0.1032945723912031 0.0484534431477714 0.0 4.9284e-12 0.0 6.2519974275e-10 54.328046 33.226225 7.677394 2048 1 3449889943192.878896942
ftla-rSC13 ANL Mira 2048 2048 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=4.0 1.6 testing_ftdqr.x empirical 1.6 1 0.3524204189299303 0.0 0.0 6.98901755498e-05 0.0363173019720115 0.0 0.0 5.6658046097e-06 0.0423835290412746 0.3874082064764262 0.0 0.0 0.0 -0.0052536852332954 0.003853497910026 0.022397335195773 0.4890376441967142 0.0048403454868468 0.0009378253223358 0.0 0.0 0.0 0.0 0.0011104481064198 0.0480535995916159 0.0 0.0 0.0046700798024553 0.0 0.0 0.0446340472224913 0.0 0.0 7.16443470894e-05 0.0 0.0 0.0 0.0 0.1029973354873546 0.0488619188119254 0.0 4.893e-12 0.0 6.2523003317e-10 53.579122 34.086082 6.326181 2048 1 4292036392420.633788218
ftla-rSC13 ANL Mira 2048 2048 1 max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=5.0 1.6 testing_ftdqr.x empirical 1.6 1 0.350996298807572 0.0 0.0 6.7493818343e-05 0.0358205298915932 0.0 0.0 5.5607681193e-06 0.0420099764827355 0.3864760819741737 0.0 0.0 0.0 -0.0053199391564896 0.0039197352456813 0.0216170189782736 0.4889128946886915 0.0047904373271774 0.0009497010834649 0.0 0.0 0.0 0.0 0.0011186352756771 0.0477660491752444 0.0 0.0 0.0046159350526229 0.0 0.0 0.0430842282268977 0.0 0.0 7.31549166129e-05 0.0 0.0 0.0 0.0 0.1024666678784931 0.0491007045004761 0.0 5.199e-12 0.0 6.2518176492e-10 53.371038 32.546499 7.612999 2048 1 5193171207441.492949807