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_iter 8 908 0.008
modules 2 178 0.010
fib_recursive 11 882 0.012
loops 4 294 0.012
asdl_generated 11 377 0.029
parse 26 772 0.034
scoped_resource 43 1,022 0.042
containers 10 113 0.091
files 8 77 0.104
tuple_return_value 20 184 0.110
length 42 204 0.203
cartesian 87 320 0.271
escape 99 347 0.284
cgi 265 512 0.519
varargs 20 11 1.705
control_flow 209 108 1.941

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 4.3 10.6 0.41
parse 3.8 7.6 0.50
escape 3.5 6.9 0.51
length 3.5 6.9 0.51
cgi 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
tuple_return_value 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
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
files 3.9 6.9 0.57
control_flow 3.8 6.7 0.57
containers 28.4 48.0 0.59
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
control_flow 0 8 0.000
fib_iter 0 16 0.000
fib_recursive 0 4 0.000
loops 0 8 0.000
modules 0 4 0.000
tuple_return_value 0 8 0.000
containers 5 24 0.212
cartesian 4 12 0.328
classes 3 8 0.418
parse 4 8 0.465
scoped_resource 4 8 0.487
varargs 47 61 0.767
escape 8 8 0.976
cgi 4 4 0.991
length 4 4 1.037
files 0 0 NA

raw benchmark files