mycpp Code Generation

Measure the speedup from mycpp, and the resource usage.

Source code: oil/mycpp/examples

User Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 27 0.000
fib_iter 4 903 0.004
modules 2 183 0.010
loops 4 304 0.012
fib_recursive 11 885 0.012
asdl_generated 5 380 0.014
parse 29 771 0.038
scoped_resource 43 1,018 0.043
files 4 76 0.050
containers 10 116 0.087
tuple_return_value 20 186 0.108
length 36 210 0.172
cartesian 82 323 0.254
escape 98 345 0.285
cgi 265 512 0.517
varargs 21 28 0.749
control_flow 207 110 1.891

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name C++ Python C++ : Python
classes 4.5 10.7 0.42
parse 3.7 7.6 0.48
asdl_generated 3.5 7.1 0.50
scoped_resource 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.3 47.8 0.59
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 4 0.000
fib_recursive 0 8 0.000
loops 0 8 0.000
modules 0 4 0.000
parse 0 4 0.000
tuple_return_value 0 8 0.000
containers 5 24 0.211
scoped_resource 4 12 0.329
escape 8 12 0.660
asdl_generated 5 8 0.684
classes 3 4 0.834
cgi 4 4 1.002
cartesian 8 8 1.028
varargs 46 44 1.049
fib_iter 4 0 inf
files 4 0 inf
length 8 0 inf

raw benchmark files