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 23 0.000
fib_recursive 7 871 0.008
fib_iter 8 888 0.009
modules 2 179 0.011
loops 4 290 0.013
asdl_generated 11 377 0.030
parse 25 758 0.034
scoped_resource 42 1,052 0.040
files 8 76 0.102
tuple_return_value 20 188 0.107
containers 16 117 0.133
length 45 202 0.221
cartesian 83 333 0.249
escape 107 348 0.308
cgi 259 513 0.504
varargs 20 16 1.223
control_flow 205 109 1.881

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
files 3.5 6.9 0.51
loops 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
length 3.8 7.1 0.54
fib_recursive 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
modules 3.8 6.9 0.55
escape 3.7 6.7 0.55
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
containers 0 20 0.000
escape 0 8 0.000
fib_iter 0 4 0.000
length 0 8 0.000
loops 0 4 0.000
modules 0 4 0.000
tuple_return_value 0 4 0.000
parse 4 12 0.354
scoped_resource 4 12 0.354
classes 4 8 0.478
varargs 47 56 0.838
fib_recursive 4 4 0.905
control_flow 4 4 0.977
cgi 8 4 1.987
cartesian 8 4 2.065
files 0 0 NA

raw benchmark files