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 Theta 64 64 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 1.301 testing_ftdqr.x empirical 1.301 1 1.227106832446063 0.00369160987638 0.0 0.0 0.0 0.6842047971327385 0.0965621519398948 0.0 0.0004054620788673 0.0 0.0 0.0 0.0 0.1136871567201535 0.0450656198133403 0.0 0.070110240605264 0.0028508537332509 0.0669808054391033 0.0987820544610247 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0008056641854867 0.0 0.0 0.0 0.1741590011101005 0.0028440825294113 0.0 0.0033478066767935 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.598748486e-10 275.469242 199.13877 12.223176 64 1 460341971634.511604494
FTLA-rSC13 ANL Theta 64 64 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 1.301 testing_ftdqr.x empirical 1.301 1 1.246952439138894 0.0037482134352128 0.0 0.0 0.0 0.6759299761999872 0.095860089306258 0.0 0.0004161312806968 0.0 0.0 0.0 0.0 0.1129766658644095 0.0448233496253749 0.0 0.0682278508823203 0.0029299791541768 0.0647374194345187 0.0977096997374107 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0008250364881707 0.0 0.0 0.0 0.1691951700003565 0.0029061436196249 0.0 0.0032197526472517 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4252941494e-10 264.207568 185.556757 13.301622 64 1 623113461488.103885675
FTLA-rSC13 ANL Theta 64 64 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 1.301 testing_ftdqr.x empirical 1.301 1 1.233559201780855 0.0047758664037207 0.0 0.0 0.0 0.6748737184906527 0.096329804269016 0.0 0.0004230567670351 0.0 0.0 0.0 0.0 0.1144416129859262 0.0454416361362265 0.0 0.0693989713843855 0.0029628125471617 0.0648186906716608 0.0972570232727923 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0008426735937464 0.0 0.0 0.0 0.1697434991836619 0.0029465162348323 0.0 0.0032961793518128 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4963059019e-10 276.584667 194.508003 11.203875 64 1 791823771291.875220106
FTLA-rSC13 ANL Theta 64 64 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 1.301 testing_ftdqr.x empirical 1.301 1 1.236510227993194 0.0039217574976696 0.0 0.0 0.0 0.6649561718107355 0.0943304774022043 0.0 0.0004170701924729 0.0 0.0 0.0 0.0 0.1173290667501607 0.0468062842062296 0.0 0.0692057441731718 0.0040129334866465 0.0659870287317359 0.0955523615504617 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0009171851305636 0.0 0.0 0.0 0.1666365254719064 0.002998371606828 0.0 0.0033109203376888 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5035603683e-10 277.697982 194.829506 12.961726 64 1 958398868939.769465358
FTLA-rSC13 ANL Theta 64 64 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 1.301 testing_ftdqr.x empirical 1.301 1 1.230830488519688 0.0040261175838814 0.0 0.0 0.0 0.6630370899336885 0.094634930723387 0.0 0.0004492678197217 0.0 0.0 0.0 0.0 0.1146798707233487 0.0455843827251276 0.0 0.0687218247747749 0.0030543436998054 0.0655651469600193 0.095655598138233 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0009410854085397 0.0 0.0 0.0 0.1669707637331048 0.003086115374916 0.0 0.0033154916311918 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5221069568e-10 278.923439 198.308598 12.260895 64 1 1129183732534.080842704
FTLA-rSC13 ANL Theta 128 128 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 1.301 testing_ftdqr.x empirical 1.301 1 1.124213933743154 0.0034351580211545 0.0 0.0 0.0 0.5155924717785946 0.0989240820574683 0.0 0.0003103793179931 0.0 0.0 0.0 0.0 0.0977428956679554 0.0322084539418683 0.0 0.0663277496225295 0.0024272629519054 0.12938853774245 0.0653360655322372 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010010552861943 0.0 0.0 0.0 0.1353974436297948 0.0024545468942365 0.0 0.0026984504371839 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3948799758e-10 246.527344 174.339844 11.205078 128 1 346472375262.969984822
FTLA-rSC13 ANL Theta 128 128 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 1.301 testing_ftdqr.x empirical 1.301 1 1.116348303176214 0.0035231463405653 0.0 0.0 0.0 0.511729965634646 0.0998236003611127 0.0 0.0003173009712829 0.0 0.0 0.0 0.0 0.098536315196138 0.0324214612657938 0.0 0.0658939006348268 0.002484341827101 0.1307145456534369 0.0647759596397266 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010300365502917 0.0 0.0 0.0 0.1357432117580438 0.0024887707723832 0.0 0.0025917574228578 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3750751704e-10 247.263689 177.564841 12.108069 128 1 470720853657.646401798
FTLA-rSC13 ANL Theta 128 128 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 1.301 testing_ftdqr.x empirical 1.301 1 1.109641488161476 0.0035803351103805 0.0 0.0 0.0 0.506724840205058 0.0993661613707114 0.0 0.0003265432285186 0.0 0.0 0.0 0.0 0.0971761704384084 0.0320210801215931 0.0 0.065979256717506 0.0028780960803083 0.1268700229540454 0.0638862397499102 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010634567676526 0.0 0.0 0.0 0.1357480169109469 0.0025281345435541 0.0 0.0027012837686283 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3687500609e-10 246.104612 174.344207 11.069741 128 1 603108431317.482141851
FTLA-rSC13 ANL Theta 128 128 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 1.301 testing_ftdqr.x empirical 1.301 1 1.106202004646121 0.0036579888702638 0.0 0.0 0.0 0.5017314416907989 0.0986755279115959 0.0 0.0003290908984133 0.0 0.0 0.0 0.0 0.0981503377474366 0.0323566931558585 0.0 0.0649395949077002 0.0025498445730591 0.1269615309229561 0.063427216692206 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010846889745108 0.0 0.0 0.0 0.1357001021801694 0.002548610262225 0.0 0.0023541843402166 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3591567015e-10 246.828837 173.669767 12.368372 128 1 730843430593.580763691
FTLA-rSC13 ANL Theta 128 128 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 1.301 testing_ftdqr.x empirical 1.301 1 1.101483530228381 0.0040987301021905 0.0 0.0 0.0 0.4965111048236181 0.1004068170427689 0.0 0.0003219056816211 0.0 0.0 0.0 0.0 0.0988246274553314 0.032763440732495 0.0 0.0659940766888215 0.0025405098136526 0.1295909171769115 0.0610047855988251 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0011005905419291 0.0 0.0 0.0 0.1363286594204992 0.0025375991713907 0.0 0.0019708038290144 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3576436293e-10 250.213509 178.771739 11.641304 128 1 876370219172.120891838
FTLA-rSC13 ANL Theta 256 256 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 1.301 testing_ftdqr.x empirical 1.301 1 1.094983744434788 0.0039149096194462 0.0 0.0 0.0 0.462813716806685 0.1087242285722188 0.0 0.000310171177616 0.0 0.0 0.0 0.0 0.1093220900507672 0.0355976026816607 0.0 0.0736438190763748 0.0025691659427565 0.1288105789094515 0.0507519370573754 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0013578952598684 0.0 0.0 0.0 0.1493456578443103 0.0025598148895305 0.0 0.0023032503635016 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3871202596e-10 235.285303 172.498559 11.878963 256 1 234993692940.636853417
FTLA-rSC13 ANL Theta 256 256 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 1.301 testing_ftdqr.x empirical 1.301 1 1.088125691166884 0.0040052974503017 0.0 0.0 0.0 0.4579188249962827 0.1075663672634662 0.0 0.0003248869395158 0.0 0.0 0.0 0.0 0.1088775457973493 0.0354826624620677 0.0 0.0738980611595373 0.0025765504326377 0.1284241126830082 0.050108388522404 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014048306062571 0.0 0.0 0.0 0.1493394423432439 0.0025906482258602 0.0 0.0023949265984138 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3971689963e-10 233.397872 165.940426 12.23617 256 1 318424087806.858154097
FTLA-rSC13 ANL Theta 256 256 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 1.301 testing_ftdqr.x empirical 1.301 1 1.105005396588748 0.003441347518423 0.0 0.0 0.0 0.4557028763018656 0.1097908745922832 0.0 0.0002700517683747 0.0 0.0 0.0 0.0 0.1080558867114913 0.03525687381064 0.0 0.0740204089621256 0.002444303379008 0.1371340258707349 0.0338270799653677 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00105662779713 0.0 0.0 0.0 0.1712942411561812 0.0026051504897944 0.0 0.0025670900303097 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3478973344e-10 226.223629 165.445851 11.860759 256 1 484416425272.58443999
FTLA-rSC13 ANL Theta 256 256 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 1.301 testing_ftdqr.x empirical 1.301 1 1.076156571393546 0.0040435183294445 0.0 0.0 0.0 0.4542773556090484 0.1098876783638403 0.0 0.0003219889269696 0.0 0.0 0.0 0.0 0.1100289926390722 0.0358120976139183 0.0 0.0745307444110584 0.0026413967562216 0.1291152159487163 0.0487275027140913 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014223330535923 0.0 0.0 0.0 0.1499593495302829 0.0026501609645822 0.0 0.0023208437579453 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3592769161e-10 228.68984 163.510695 12.602941 256 1 508728087376.285269717
FTLA-rSC13 ANL Theta 256 256 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 1.301 testing_ftdqr.x empirical 1.301 1 1.080096788950049 0.0041891479688045 0.0 0.0 0.0 0.4478982874037598 0.1100407155824324 0.0 0.0003119305578448 0.0 0.0 0.0 0.0 0.1114648827302315 0.0362665407672511 0.0 0.0738639605368346 0.0025763734104455 0.1277678194970641 0.0476979806331329 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0014537077961329 0.0 0.0 0.0 0.1513125483960533 0.0025853332727881 0.0 0.0020885185408181 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3716128125e-10 236.756322 172.786207 11.77931 256 1 590506389947.484779132
FTLA-rSC13 ANL Theta 512 512 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 1.301 testing_ftdqr.x empirical 1.301 1 1.101373563972983 0.0024268474744297 0.0 0.0 0.0 0.3957974642919485 0.1244427708692288 0.0 0.0001646562393617 0.0 0.0 0.0 0.0 0.1278115349850038 0.0394664875253493 0.0 0.0898766221653791 0.0016338298283333 0.1320282869682432 0.0260605059206196 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010572943265395 0.0 0.0 0.0 0.1785537214605672 0.0015300655476796 0.0 0.0020795842204714 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3957847737e-10 206.604905 150.051771 12.0 512 1 249088949498.779273813
FTLA-rSC13 ANL Theta 512 512 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 1.301 testing_ftdqr.x empirical 1.301 1 1.107472735899985 0.0026204007530701 0.0 0.0 0.0 0.3895152178012117 0.1275412928691357 0.0 0.0001828888457772 0.0 0.0 0.0 0.0 0.1278054456293032 0.0394278209536227 0.0 0.088567593608149 0.0016588991216721 0.1308470695425581 0.0249151878267269 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0011847300175767 0.0 0.0 0.0 0.174325135183795 0.0016095549126964 0.0 0.0021381391928001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3852373061e-10 197.803879 147.803879 13.00431 512 1 314581088420.957761321
FTLA-rSC13 ANL Theta 512 512 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 1.301 testing_ftdqr.x empirical 1.301 1 1.087157466972219 0.0028396073753502 0.0 0.0 0.0 0.3901385321925626 0.1251240375455051 0.0 0.0002024821596357 0.0 0.0 0.0 0.0 0.1271683656857542 0.0393035570762135 0.0 0.0878720405679119 0.0016260928182701 0.13530669713712 0.0219913233028423 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0011794145810695 0.0 0.0 0.0 0.1763072480926758 0.0016665401886295 0.0 0.0021928141720168 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3819896096e-10 204.802842 148.595027 11.028419 512 1 381441639573.450531561
FTLA-rSC13 ANL Theta 512 512 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 1.301 testing_ftdqr.x empirical 1.301 1 1.082560577972203 0.0028689677476933 0.0 0.0 0.0 0.3805893589312394 0.1300101956759495 0.0 0.0002051140200002 0.0 0.0 0.0 0.0 0.1278868696934252 0.0395200383925433 0.0 0.0883891134416231 0.0012928091209678 0.1336055085026044 0.0215738281335379 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0010790315781213 0.0 0.0 0.0 0.1819187424431759 0.0015133429459169 0.0 0.0021803667746243 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4148873597e-10 208.349003 151.54416 12.967236 512 1 473965325367.018063186
FTLA-rSC13 ANL Theta 512 512 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 1.301 testing_ftdqr.x empirical 1.301 1 1.099020389697256 0.0027680047763717 0.0 0.0 0.0 0.3845093413338462 0.1264032887338988 0.0 0.0001952926055138 0.0 0.0 0.0 0.0 0.1364700423762026 0.0415167360963104 0.0 0.0929796186607935 0.0016689764949058 0.1339565609574399 0.0196266363981512 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0009074407808712 0.0 0.0 0.0 0.188306496933257 0.0012621561152321 0.0 0.0021379198582967 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3730018326e-10 211.158439 157.479908 13.050517 512 1 591550418543.971650118
FTLA-rSC13 ANL Theta 1024 1024 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 1.301 testing_ftdqr.x empirical 1.301 1 1.064033115401717 0.003372776287522 0.0 0.0 0.0 0.3518714948957408 0.1297511623320961 0.0 0.0001192659971029 0.0 0.0 0.0 0.0 0.1377390344283393 0.0416142658865514 0.0 0.0955747377224265 0.0013297936290938 0.1305675133313714 0.0166477549168179 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0018770982323926 0.0 0.0 0.0 0.1856163828151921 0.0014305062217556 0.0 0.0023302307884735 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5505351409e-10 197.247458 148.027119 11.772881 1024 1 197002900091.489063637
FTLA-rSC13 ANL Theta 1024 1024 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 1.301 testing_ftdqr.x empirical 1.301 1 1.062296681770121 0.0031454265073097 0.0 0.0 0.0 0.3503751821104573 0.1292744780892519 0.0 0.0001490636285808 0.0 0.0 0.0 0.0 0.1348778718877845 0.0410304967265481 0.0 0.0933935863260931 0.0014510014066665 0.1316462307013051 0.014667939808364 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019676597358783 0.0 0.0 0.0 0.1832594811848373 0.0014265328179903 0.0 0.0023571299186623 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4816955379e-10 197.802222 139.504444 14.966667 1024 1 302406124191.877080954
FTLA-rSC13 ANL Theta 1024 1024 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 1.301 testing_ftdqr.x empirical 1.301 1 1.056570647467066 0.0033817677244063 0.0 0.0 0.0 0.3491345003146399 0.1296821443348313 0.0 0.0001438622088328 0.0 0.0 0.0 0.0 0.1332487006754152 0.0407447804337841 0.0 0.0928051572526844 0.0014322255047919 0.1298783130734452 0.0165948880606473 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019659171354906 0.0 0.0 0.0 0.1841266828062117 0.0014321463839158 0.0 0.0023632255490218 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4998874515e-10 196.140187 143.11028 12.007477 1024 1 358302872860.118146268
FTLA-rSC13 ANL Theta 1024 1024 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 1.301 testing_ftdqr.x empirical 1.301 1 1.058326586047272 0.0033415261054573 0.0 0.0 0.0 0.3476484543891092 0.1299346087777897 0.0 0.0001482433953759 0.0 0.0 0.0 0.0 0.1341989438014317 0.041055259994422 0.0 0.092821140746759 0.0014347881217177 0.1293316046078435 0.0161628409295048 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0019740706694083 0.0 0.0 0.0 0.1840541710262051 0.0014390790357354 0.0 0.0023512924832538 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.4857582096e-10 196.047128 141.359352 12.421208 1024 1 455448957144.740530279
FTLA-rSC13 ANL Theta 1024 1024 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 1.301 testing_ftdqr.x empirical 1.301 1 1.054010539810886 0.0034193847400901 0.0 0.0 0.0 0.3470439650976633 0.1305650541871189 0.0 0.0001424267219159 0.0 0.0 0.0 0.0 0.1340674084723716 0.0410245016246672 0.0 0.0938979584495342 0.0014500728815205 0.1297879429174282 0.0157119913057094 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0020179280294286 0.0 0.0 0.0 0.1850336005630597 0.0014454579834732 0.0 0.0023913388739134 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5112529711e-10 186.11236 136.759051 11.076155 1024 1 535755929867.27332619