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 4 902 0.004
modules 2 172 0.011
fib_recursive 11 876 0.012
loops 4 292 0.013
asdl_generated 11 370 0.029
parse 30 774 0.038
scoped_resource 43 1,024 0.042
files 8 80 0.100
tuple_return_value 20 191 0.105
classes 3 25 0.131
containers 16 113 0.140
length 45 206 0.217
cartesian 78 329 0.236
escape 98 349 0.280
cgi 261 508 0.514
varargs 24 36 0.656
control_flow 204 106 1.921

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 3.8 7.6 0.50
cgi 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
escape 3.7 7.1 0.52
fib_iter 3.7 6.9 0.53
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
asdl_generated 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.9 0.55
fib_recursive 3.9 7.1 0.56
tuple_return_value 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 7 0.000
containers 0 24 0.000
fib_recursive 0 8 0.000
length 0 4 0.000
loops 0 8 0.000
modules 0 12 0.000
parse 0 4 0.000
tuple_return_value 0 4 0.000
control_flow 4 8 0.508
scoped_resource 4 4 0.976
cgi 8 8 0.988
fib_iter 4 4 1.001
varargs 43 36 1.202
cartesian 16 12 1.308
escape 8 4 2.027
files 0 0 NA

raw benchmark files