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
Nekbone-fti ANL Theta 256 256 1 Element size=256.0, Iters=1000.0, ckp L1=4.0, ckp L2=6.0, ckp L3=8.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.750277141511406 0.0006974977395056 0.0 0.0 0.0 0.2506850751590499 0.0180594989862007 0.0 2.91411898595e-05 0.0 0.0 0.0 0.0 0.0065851711136919 0.0056352628394904 0.0 0.0009218791721756 0.0006332167231541 0.5200944452829425 0.0018432683741895 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.51667818678e-05 0.0 0.0 0.0 0.0070824841103554 0.0006389690673504 0.0 7.93843437081e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3239820777e-10 169.877565 116.982938 15.884713 256 1 2968402464582.126021332
Nekbone-fti ANL Theta 256 256 1 Element size=256.0, Iters=1000.0, ckp L1=5.0, ckp L2=8.0, ckp L3=9.0, ckp L4=10.0 1.301 nekbone empirical 1.301 1 0.7502236071284376 0.000692812439091 0.0 0.0 0.0 0.2499039493985496 0.0173704251548153 0.0 2.59508282933e-05 0.0 0.0 0.0 0.0 0.0066607112201324 0.0056719034622008 0.0 0.0009370240101271 0.000631218457913 0.5213704750408589 0.0018405520372969 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.57458556394e-05 0.0 0.0 0.0 0.0069407054527362 0.0006318458910518 0.0 6.0984114954e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3359944201e-10 185.983402 127.317427 11.962195 256 1 2964189308871.309238143
Nekbone-fti ANL Theta 256 256 1 Element size=256.0, Iters=1000.0, ckp L1=2.0, ckp L2=4.0, ckp L3=6.0, ckp L4=8.0 1.301 nekbone empirical 1.301 1 0.7504816950703238 0.000692385542365 0.0 0.0 0.0 0.2500155207694575 0.0174971746014725 0.0 2.61004717338e-05 0.0 0.0 0.0 0.0 0.0066796431116124 0.0056736614685026 0.0 0.000992488243981 0.00062855531534 0.5200802577997403 0.001840779720655 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.65397055557e-05 0.0 0.0 0.0 0.007242062603088 0.0006345437535456 0.0 9.97257965439e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3607738504e-10 187.689047 127.926673 12.773831 256 1 2972706941514.161207846
Nekbone-fti ANL Theta 256 256 1 Element size=256.0, Iters=1000.0, ckp L1=3.0, ckp L2=5.0, ckp L3=7.0, ckp L4=11.0 1.301 nekbone empirical 1.301 1 0.7509208449734441 0.0007045540166316 0.0 0.0 0.0 0.2499254443826118 0.017624073944874 0.0 2.6365603155e-05 0.0 0.0 0.0 0.0 0.0068963419748462 0.0057351588027128 0.0 0.0011204341909456 0.0006337220494001 0.5218085379577969 0.0018433471412554 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.74354844296e-05 0.0 0.0 0.0 0.0074454081605715 0.0006335842991922 0.0 6.55453355756e-05 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.3768337522e-10 176.155475 124.361712 13.968131 256 1 2978550844181.243496616
Nekbone-fti ANL Theta 256 256 1 Element size=256.0, Iters=1000.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0 1.301 nekbone empirical 1.301 1 0.7528791899395618 0.000711936790154 0.0 0.0 0.0 0.2498892920778072 0.0181830298863701 0.0 2.7009820476e-05 0.0 0.0 0.0 0.0 0.0075098501436804 0.0059090741736642 0.0 0.0016073504994019 0.0006352445269348 0.5194544506750677 0.0018516462220659 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.82751488353e-05 0.0 0.0 0.0 0.0086342913135505 0.0006345011724668 0.0 0.0001107506457565 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.5302029341e-10 178.84409 126.384564 11.833222 256 1 3011758666861.291275436