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_recursive 7 884 0.008
fib_iter 8 893 0.008
modules 2 174 0.010
loops 4 286 0.013
asdl_generated 11 377 0.028
parse 30 769 0.039
scoped_resource 45 1,035 0.043
files 4 68 0.055
containers 8 112 0.069
tuple_return_value 20 181 0.112
length 40 208 0.193
cartesian 87 319 0.272
escape 100 344 0.291
cgi 253 515 0.491
varargs 25 20 1.246
control_flow 210 100 2.098

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 10.9 0.40
escape 3.5 7.1 0.50
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 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
control_flow 0 12 0.000
fib_iter 0 4 0.000
loops 0 12 0.000
modules 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 16 0.000
containers 8 24 0.323
cartesian 4 12 0.329
classes 3 8 0.422
files 4 8 0.469
escape 4 8 0.501
scoped_resource 4 8 0.509
varargs 41 52 0.799
fib_recursive 4 4 0.897
length 4 4 1.005

raw benchmark files