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
containers 0 121 0.000
modules 0 175 0.000
fib_iter 4 894 0.004
fib_recursive 11 873 0.012
loops 4 301 0.014
asdl_generated 7 387 0.019
parse 31 767 0.041
scoped_resource 43 1,016 0.043
tuple_return_value 10 192 0.053
files 4 69 0.054
classes 3 27 0.117
length 41 201 0.205
cartesian 79 345 0.229
escape 95 349 0.272
cgi 269 505 0.534
varargs 16 15 1.053
control_flow 205 119 1.721

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 0.41
parse 3.8 7.6 0.50
scoped_resource 3.5 7.1 0.50
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
cgi 3.7 7.1 0.52
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
files 3.8 7.1 0.54
loops 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_iter 3.7 6.7 0.55
control_flow 3.9 6.9 0.57
length 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
classes 0 4 0.000
fib_recursive 0 12 0.000
loops 0 4 0.000
parse 0 4 0.000
modules 2 8 0.228
asdl_generated 4 8 0.456
files 4 8 0.463
length 4 8 0.475
scoped_resource 4 8 0.494
varargs 49 58 0.842
fib_iter 4 4 0.954
containers 16 16 0.974
tuple_return_value 10 8 1.263
cartesian 12 4 2.949
escape 12 4 2.963
control_flow 4 0 inf

raw benchmark files