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
fib_iter 8 883 0.009
modules 2 172 0.010
fib_recursive 11 884 0.012
loops 4 290 0.013
asdl_generated 11 385 0.028
containers 4 106 0.036
parse 29 777 0.037
scoped_resource 44 1,048 0.041
files 4 72 0.052
tuple_return_value 16 189 0.085
classes 3 19 0.165
length 40 208 0.192
cartesian 90 331 0.272
escape 99 353 0.280
cgi 265 505 0.524
varargs 25 16 1.538
control_flow 210 109 1.923

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
cartesian 3.5 7.1 0.50
scoped_resource 3.5 7.1 0.50
parse 3.9 7.6 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
loops 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 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 8 0.000
cartesian 0 4 0.000
classes 0 11 0.000
control_flow 0 8 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
loops 0 4 0.000
modules 0 12 0.000
parse 0 12 0.000
containers 11 27 0.415
cgi 4 8 0.505
varargs 41 56 0.732
files 4 4 0.934
escape 8 8 0.985
scoped_resource 4 4 0.988
length 4 4 0.998
tuple_return_value 4 4 1.002

raw benchmark files