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
modules 0 185 0.000
fib_iter 8 894 0.008
fib_recursive 11 886 0.012
loops 4 299 0.012
parse 22 774 0.028
asdl_generated 11 375 0.029
scoped_resource 47 1,013 0.046
tuple_return_value 16 190 0.085
containers 12 113 0.104
files 8 65 0.118
classes 3 23 0.143
length 44 197 0.224
cartesian 86 321 0.269
escape 97 343 0.282
cgi 262 513 0.511
control_flow 204 111 1.847
varargs 27 4 6.759

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
cgi 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
length 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
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.8 0.56
fib_recursive 3.8 6.8 0.56
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
classes 0 8 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
files 0 11 0.000
length 0 12 0.000
loops 0 4 0.000
scoped_resource 0 16 0.000
containers 4 24 0.162
modules 2 8 0.249
cartesian 4 8 0.519
varargs 39 68 0.568
parse 7 8 0.915
control_flow 4 4 0.978
cgi 4 4 0.992
tuple_return_value 4 4 0.996
escape 8 8 1.010

raw benchmark files