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Create Training Set
Model Title
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
65536
4096
16
particles per cell=100.0
1.6
gtcmpiomp-p
empirical
1.6
1
0.3487451789950009
0.0
0.0
0.0260966661184555
0.0159866473892151
0.0
0.0
0.0003250706617726
0.0246066293452166
0.3860815034454084
0.0
0.0
0.0
0.0020862568631065
0.0035882367042266
0.1039809122645483
0.516628738587306
0.002562889738308
0.0101456396355714
0.0
0.0
0.0
0.0
0.0005280687895565
0.0278775925219523
0.0
0.0
0.0127862860112284
0.0
0.0
0.1446993534468212
0.0
0.0
0.000368115033928
0.0
0.0
0.0
0.0
0.097328118119225
0.0420549924399704
0.0
6.663735e-10
0.0
6.1472413826e-10
52.814549
30.855877
8.669636
4096
16
295084322723.110762395
gtc_bench
ANL BGQ Mira
65536
8192
8
particles per cell=100.0
1.6
gtcmpiomp-p
empirical
1.6
1
0.3767750417122639
0.0
0.0
0.0293959473715272
0.0140366489538053
0.0
0.0
0.0003656594820681
0.0217563260544632
0.4015119460379963
0.0
0.0
0.0
0.0003133225538311
0.003329611054098
0.1131358532645713
0.5109313611397827
0.0024147534151361
0.0088837308273283
0.0
0.0
0.0
0.0
0.0005971209048786
0.0261238837994735
0.0
0.0
0.0104213633681833
0.0
0.0
0.1593243597079924
0.0
0.0
0.0002189558043289
0.0
0.0
0.0
0.0
0.1070899909818962
0.0434715474089773
0.0
1.139085e-10
0.0
6.2665322835e-10
52.547603
30.507249
8.813789
8192
8
489290229633.586790729