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
eq3dyna ANL BGQ Mira 4096 64 64 element size=100.0 1.6 eqdyna3drun-p empirical 1.6 1 0.2717357441717538 0.0 0.0 0.0027564628514879 0.0229353014996053 0.0 0.0 1.173828472e-06 0.0377382445846622 0.3049387085917858 0.0 0.0 0.0 0.0090965587770588 0.0076466765814396 0.0140115257040147 0.572175965346066 0.0025427548453065 0.0077110398874058 0.0 0.0 0.0 0.0 0.0005359858630874 0.040427869416352 0.0 0.0 0.0097144955591079 0.0 0.0 0.0194216697039489 0.0 0.0 6.4097592953e-05 0.0 0.0 0.0 0.0 0.0736561101439514 0.0454731728459731 0.0 5.80312516e-08 0.0 6.2752347167e-10 53.97704 33.33322 7.633814 64 64 631207830275.866691391
eq3dyna ANL BGQ Mira 4096 128 32 element size=100.0 1.6 eqdyna3drun-p empirical 1.6 1 0.3147776539845583 0.0 0.0 0.0017403603280623 0.0241439993236966 0.0 0.0 3.69361816e-07 0.0390189489358991 0.3546382030375003 0.0 0.0 0.0 0.0070347658320387 0.0070579493652154 0.008412876374239 0.49610891459851 0.0020966352880871 0.0028982807642497 0.0 0.0 0.0 0.0 0.0008172616851677 0.043242653165029 0.0 0.0 0.0040047484942188 0.0 0.0 0.0123211744152244 0.0 0.0 2.15455752755e-05 0.0 0.0 0.0 0.0 0.0900891421086435 0.0520140520531065 0.0 1.26492441e-08 0.0 6.2646898782e-10 52.631139 31.927992 7.729849 128 32 820978939100.775103393
eq3dyna ANL BGQ Mira 4096 256 16 element size=100.0 1.6 eqdyna3drun-p empirical 1.6 1 0.3108703000441575 0.0 0.0 0.0006906893442938 0.0224029696304919 0.0 0.0 8.38265434e-08 0.0360176084709594 0.3555569816785443 0.0 0.0 0.0 0.0041881699835236 0.0059004790042886 0.003628811280153 0.4899852927406764 0.0020618135139304 0.0016498166107683 0.0 0.0 0.0 0.0 0.0009379938174845 0.0408129823423695 0.0 0.0 0.0027740075956042 0.0 0.0 0.0049883659152815 0.0 0.0 4.2400077195e-06 0.0 0.0 0.0 0.0 0.0928462848057998 0.0522437736453408 0.0 0.0 0.0 6.2556935135e-10 50.109208 30.125945 7.128873 256 16 1381091303682.839864242