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
PMLB ANL BGQ Mira 16384 1024 16 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1961246844870823 0.0 0.0 0.0065782206624154 0.0146008466817408 0.0 0.0 1.485538356e-07 0.0217119575807672 0.2189669327307303 0.0 0.0 0.0 0.0037216213041846 0.0021830318192979 0.0242971074221417 0.673751365771896 0.0042444952791206 0.0091701593974235 0.0 0.0 0.0 0.0 0.0003006977569208 0.0242555196108477 0.0 0.0 0.0129774574475323 0.0 0.0 0.0359132376402441 0.0 0.0 4.348998307e-06 0.0 0.0 0.0 0.0 0.0398410582761223 0.0225795977605132 0.0 0.0 0.0 6.7363920348e-10 49.244498 27.760842 8.447806 1024 16 15700789005.986074236
PMLB ANL BGQ Mira 16384 512 32 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.151539186457144 0.0 0.0 0.0038756458761534 0.0119903736974233 0.0 0.0 9.85674979e-08 0.019138427546727 0.1746131353974974 0.0 0.0 0.0 0.0036180209625183 0.0018903587436789 0.0143018545308022 0.7461953257534024 0.0029792222168831 0.0075396205307198 0.0 0.0 0.0 0.0 0.0002293321881396 0.020563119597972 0.0 0.0 0.010392764583019 0.0 0.0 0.0216301731576946 0.0 0.0 1.99125190404e-05 0.0 0.0 0.0 0.0 0.0300276022451713 0.0175727091455714 0.0 1.60780893e-08 0.0 6.5915344335e-10 52.694661 29.698273 9.753165 512 32 24496050446.066443961
PMLB ANL BGQ Mira 16384 256 64 Each size of 3D mesh=512.0 1.6 hybrid-p empirical 1.6 1 0.1722554239155622 0.0 0.0 0.0030086650746342 0.013100476926294 0.0 0.0 7.52788259e-08 0.0225936527500824 0.1942725491309202 0.0 0.0 0.0 0.0044125586013178 0.0026543443475966 0.0112675050319085 0.7196859383379265 0.0032075176027325 0.0089495329600294 0.0 0.0 0.0 0.0 0.0003733753279566 0.0251303552891318 0.0 0.0 0.0118485132555222 0.0 0.0 0.0166347046162876 0.0 0.0 8.0170738161e-06 0.0 0.0 0.0 0.0 0.0357449879042301 0.0241810068138329 0.0 3.79593688e-08 0.0 6.5514532157e-10 54.697611 30.568997 11.166577 256 64 31634735558.110168861