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
ftla-rSC13 ANL Mira 8192 8192 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 0.3415348160221203 0.0 0.0 6.54042851093e-05 0.0316379288080526 0.0 0.0 3.9129233252e-06 0.0420741043501783 0.3818305552057543 0.0 0.0 0.0 -0.0034709047495707 0.0048331272536845 0.0112794812964319 0.4807908874881138 0.0039286187195373 0.0011249616483811 0.0 0.0 0.0 0.0 0.0014366788676576 0.0489055854436995 0.0 0.0 0.0036206269825168 0.0 0.0 0.0223537870742057 0.0 0.0 5.40531405209e-05 0.0 0.0 0.0 0.0 0.0975841703610418 0.0518978024495805 0.0 4.9372e-12 0.0 6.2573386721e-10 54.015206 32.829213 7.689219 8192 1 1011828667390.182957523
ftla-rSC13 ANL Mira 8192 8192 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 0.3402127785664819 0.0 0.0 5.9916847136e-05 0.0313169011138804 0.0 0.0 3.6200472597e-06 0.0416189408167852 0.3805627171988348 0.0 0.0 0.0 -0.0035972615124712 0.0049026201052115 0.0103520900944222 0.4808388770136706 0.0038861227384289 0.0011799772535236 0.0 0.0 0.0 0.0 0.0014435759164616 0.048756448152965 0.0 0.0 0.0036057875818088 0.0 0.0 0.0205543935287697 0.0 0.0 5.94768578195e-05 0.0 0.0 0.0 0.0 0.0969105073633777 0.0519997351501818 0.0 9.5015e-12 0.0 6.2542575788e-10 57.44362 36.509244 7.566557 8192 1 1472875764059.50503191
ftla-rSC13 ANL Mira 8192 8192 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 0.3402284005564938 0.0 0.0 5.53951747264e-05 0.0314948854056876 0.0 0.0 3.4079788286e-06 0.0417858447972481 0.3808788028001622 0.0 0.0 0.0 -0.0037282132239907 0.0049804699175538 0.0095810061427958 0.4795801500521862 0.0037843639044184 0.0012014207440819 0.0 0.0 0.0 0.0 0.0014492069979535 0.0488375995329754 0.0 0.0 0.0035290922494947 0.0 0.0 0.0190217764588255 0.0 0.0 6.42015349914e-05 0.0 0.0 0.0 0.0 0.0967032315539888 0.0522429219840152 0.0 1.00297e-11 0.0 6.2541298038e-10 55.20608 34.874869 6.876018 8192 1 1993488034486.387773556
ftla-rSC13 ANL Mira 8192 8192 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 0.3396690195376632 0.0 0.0 5.15100665289e-05 0.0309874664884865 0.0 0.0 3.2364701665e-06 0.0414848915802731 0.3805006794538981 0.0 0.0 0.0 -0.003829299935895 0.0050442753067168 0.0089109660707133 0.4795639766877207 0.0037322362851703 0.0012488761559659 0.0 0.0 0.0 0.0 0.0014521239766638 0.0487487087409429 0.0 0.0 0.0035279090560713 0.0 0.0 0.017694880871158 0.0 0.0 6.82071730398e-05 0.0 0.0 0.0 0.0 0.0963510579510062 0.0523839790583655 0.0 1.16373e-11 0.0 6.2530522964e-10 55.966717 34.870385 7.704128 8192 1 2577252062849.067714699
ftla-rSC13 ANL Mira 8192 8192 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 0.3387143574750424 0.0 0.0 4.82640302972e-05 0.0310254165750798 0.0 0.0 3.1013654197e-06 0.041566528907514 0.3796341392091881 0.0 0.0 0.0 -0.0038861185849397 0.0050692267751424 0.0083524061643438 0.4806689582091439 0.0036912182449451 0.0012533084345133 0.0 0.0 0.0 0.0 0.0014539876420907 0.0487065942867439 0.0 0.0 0.0034983942895487 0.0 0.0 0.0165778258442644 0.0 0.0 7.18673098144e-05 0.0 0.0 0.0 0.0 0.0959270847936346 0.0523358700633275 0.0 1.3682e-11 0.0 6.2531141961e-10 56.911535 35.872043 7.527366 8192 1 3216363499733.271727064