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
containers 0 100 0.000
modules 0 179 0.000
fib_iter 8 889 0.008
fib_recursive 11 894 0.012
loops 4 292 0.013
asdl_generated 11 374 0.029
parse 22 765 0.029
scoped_resource 35 1,015 0.034
tuple_return_value 13 187 0.072
files 8 64 0.120
classes 3 23 0.138
length 41 209 0.194
cartesian 78 319 0.245
escape 103 349 0.294
varargs 8 20 0.399
cgi 270 512 0.527
control_flow 207 110 1.880

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 10.8 0.41
parse 3.9 7.7 0.51
cgi 3.5 6.9 0.51
files 3.5 6.9 0.51
escape 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
fib_recursive 3.8 7.1 0.54
loops 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
containers 28.5 47.7 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
cgi 0 4 0.000
classes 0 8 0.000
fib_iter 0 4 0.000
files 0 12 0.000
loops 0 8 0.000
modules 2 8 0.223
containers 15 36 0.428
parse 7 16 0.468
control_flow 4 8 0.488
escape 4 8 0.497
tuple_return_value 7 8 0.843
scoped_resource 12 12 0.973
length 4 4 1.008
cartesian 12 12 1.030
varargs 60 52 1.152
fib_recursive 0 0 NA

raw benchmark files