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_recursive 7 890 0.008
fib_iter 8 889 0.009
modules 2 177 0.010
loops 4 294 0.013
asdl_generated 7 371 0.019
parse 22 761 0.029
scoped_resource 47 1,053 0.044
containers 8 120 0.065
tuple_return_value 16 189 0.085
classes 3 26 0.126
files 9 64 0.134
length 37 201 0.182
escape 104 448 0.232
cartesian 84 328 0.256
cgi 247 507 0.488
varargs 19 16 1.244
control_flow 205 111 1.855

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
cgi 3.4 6.9 0.49
fib_recursive 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
parse 3.9 7.5 0.53
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
control_flow 3.8 7.1 0.54
loops 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.7 47.8 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 4 0.000
fib_iter 0 4 0.000
files 0 12 0.000
loops 0 8 0.000
modules 0 4 0.000
scoped_resource 0 4 0.000
containers 8 20 0.393
asdl_generated 4 8 0.444
control_flow 4 8 0.509
varargs 47 55 0.853
fib_recursive 4 4 0.894
parse 7 8 0.911
length 7 8 0.928
cgi 4 4 0.992
escape 4 4 0.997
cartesian 8 8 0.999
tuple_return_value 4 4 1.017

raw benchmark files