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
gtc_bench ANL BGQ Mira 64 32 2 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3195018534925745 0.0 0.0 0.0312726496476158 0.0080560209257799 0.0 0.0 0.0003939582631509 0.0120256740168829 0.3430379225063082 0.0 0.0 0.0 -0.0014673065386467 0.0019670922039278 0.1214488089863714 0.5892114088447585 0.0040103132755297 0.006364272194205 0.0 0.0 0.0 0.0 0.0002495012509201 0.0147425933914435 0.0 0.0 0.0101777574389598 0.0 0.0 0.1722649117083802 0.0 0.0 5.29609379209e-05 0.0 0.0 0.0 0.0 0.0931207143980029 0.0317787859961326 0.0 0.0 0.0 6.2565879283e-10 52.074175 31.216788 7.744216 32 2 1779076083891.052953301
gtc_bench ANL BGQ Mira 64 64 1 particles per cell=100.0 1.6 gtcmpiomp-p empirical 1.6 1 0.3174417796591328 0.0 0.0 0.0312236111912416 0.0078866495201867 0.0 0.0 0.0003735675063241 0.0128831416012806 0.3407585694861792 0.0 0.0 0.0 -0.0016075095968217 0.0019592240622691 0.1211291125818103 0.5918918826104769 0.0042426811845692 0.0065675974558151 0.0 0.0 0.0 0.0 0.000363290891704 0.0144157978267654 0.0 0.0 0.0104384506254484 0.0 0.0 0.1716935524730822 0.0 0.0 2.60589457002e-05 0.0 0.0 0.0 0.0 0.092787744249631 0.0315564463960389 0.0 0.0 0.0 6.2525493937e-10 52.800274 31.835217 7.858845 64 1 3546175485209.426023378
gtc_bench systemg 64 8 8 particles per cell=100.0 2.4 gtcmpiomp-orig empirical 2.4 1 0.7879171185101652 0.006332086428069 0.0024525697276812 0.1233342427527021 0.0351082338992229 0.0008326230314145 0.0015891672518354 0.0024634521274147 0.0393547429713254 0.8339207688776433 0.0050046092610527 0.000413263566839 4.04803956865e-05 0.0231408864979657 0.0009208319319083 0.2186285538086288 0.375248971526003 0.0109751561405624 0.0006116196758196 0.0006116196758196 0.0111576081980899 0.0105557916205146 0.0006018165775753 7.66022314369e-05 0.0660943825965543 0.3473693604351961 0.3534576714811636 0.0060883110459676 1.339283989413111 0.9880007048257226 0.2319311756337064 0.0001742397867869 1.94619605776e-05 0.0079801082370782 0.0024303926091674 1.16847948022e-05 0.0093077712557726 0.0117774796592959 0.2421762499481531 0.0824810592054591 5.2375868478e-06 4.511705201e-07 0.0 4.8655364327e-10 296.4664 107.5221 89.7604 8 8 307374921693.904100812
gtc_bench systemg 64 8 8 particles per cell=100.0 2.8 gtcmpiomp-orig empirical 2.8 1 0.7539256492313559 0.0057654853725589 0.002231189881284 0.1077966141101225 0.040216191022415 0.0007933118683022 0.0014813786589776 0.0024136910455121 0.03686289299581 0.8008981137814123 0.0043434425965533 0.0003571019687369 2.81517044316e-05 0.0247855050087574 0.0009156982166237 0.1998283667607863 0.3834849465895296 0.0098500673371104 0.0005673791279164 0.0005673791279164 0.0109150329471525 0.010319789761518 0.0005952431856345 8.12934629547e-05 0.0617676198011423 0.3373948812357634 0.3429799682465071 0.0055850870107437 1.326816449986363 0.9857847382793824 0.2034617258388351 0.000145614902245 1.47805426921e-05 0.0074532675347176 0.0022218265211995 1.17614206397e-05 0.0083824939190376 0.0106142737884341 0.2335114018950574 0.0813871811606822 2.676550269e-06 3.994408771e-07 0.0 4.2682763321e-10 313.0472 124.1415 90.0373 8 8 335854806123.74150273