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@@ -0,0 +1,158 @@
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+##################
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+# Performance Model Version
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+44
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+
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+####################
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+# COMBs
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+# number of combinations
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+4
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+####################
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+# COMB_1
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+# number of types devices
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+1
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+####################
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+# DEV_0
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+# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4, MPI_MS - 5)
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+0
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+####################
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+# DEV_0
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+# device id
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+0
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+####################
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+# DEV_0
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+# number of cores
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+1
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+##########
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+# number of implementations
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+1
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+#####
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+# Model for cpu0_impl0 (Comb1)
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+# number of entries
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+1
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+# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
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+0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
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+# a b c
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+nan nan nan
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+# hash size flops mean (us) dev (us) sum sum2 n
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+a3d3725e 1024 0.000000e+00 8.457435e+01 8.456846e+01 6.080896e+05 5.145841e+07 7190
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+
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+####################
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+# COMB_0
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+# number of types devices
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+1
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+####################
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+# DEV_0
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+# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4, MPI_MS - 5)
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+1
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+####################
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+# DEV_0
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+# device id
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+0
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+####################
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+# DEV_0
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+# number of cores
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+1
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+##########
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+# number of implementations
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+1
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+#####
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+# Model for cuda0_impl0 (Comb0)
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+# number of entries
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+1
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+# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
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+0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
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+# a b c
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+nan nan nan
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+# hash size flops mean (us) dev (us) sum sum2 n
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+a3d3725e 1024 0.000000e+00 8.959785e+01 8.957735e+01 1.959505e+05 1.756781e+07 2187
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+
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+####################
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+# COMB_2
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+# number of types devices
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+1
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+####################
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+# DEV_0
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+# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4, MPI_MS - 5)
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+1
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+####################
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+# DEV_0
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+# device id
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+2
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+####################
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+# DEV_0
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+# number of cores
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+1
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+##########
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+# number of implementations
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+1
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+#####
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+# Model for cuda2_impl0 (Comb2)
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+# number of entries
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+1
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+# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
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+0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
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+# a b c
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+nan nan nan
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+# hash size flops mean (us) dev (us) sum sum2 n
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+a3d3725e 1024 0.000000e+00 9.097446e+01 8.933429e+01 2.547285e+03 2.318591e+05 28
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+
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+####################
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+# COMB_3
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+# number of types devices
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+1
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+####################
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+# DEV_0
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+# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4, MPI_MS - 5)
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+1
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+####################
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+# DEV_0
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+# device id
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+1
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+####################
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+# DEV_0
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+# number of cores
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+1
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+##########
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+# number of implementations
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+1
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+#####
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+# Model for cuda1_impl0 (Comb3)
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+# number of entries
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+1
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+# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
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+0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
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+# a b c
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+nan nan nan
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+# hash size flops mean (us) dev (us) sum sum2 n
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+a3d3725e 1024 0.000000e+00 9.082936e+01 9.075245e+01 5.368015e+04 4.878224e+06 591
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+
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+####################
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+# COMB_4
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+# number of types devices
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+1
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+####################
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+# DEV_0
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+# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4, MPI_MS - 5)
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+1
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+####################
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+# DEV_0
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+# device id
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+3
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+####################
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+# DEV_0
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+# number of cores
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+1
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+##########
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+# number of implementations
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+1
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+#####
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+# Model for cuda3_impl0 (Comb4)
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+# number of entries
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+1
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+# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
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+0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
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+# a b c
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+nan nan nan
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+# hash size flops mean (us) dev (us) sum sum2 n
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+a3d3725e 1024 0.000000e+00 9.097446e+01 8.933429e+01 2.547285e+03 2.318591e+05 28
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+
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