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 31 0.000
containers 0 120 0.000
loops 0 295 0.000
fib_recursive 7 890 0.008
fib_iter 8 883 0.009
modules 2 173 0.011
asdl_generated 11 371 0.029
parse 26 757 0.034
scoped_resource 44 1,034 0.042
tuple_return_value 12 181 0.067
files 7 68 0.108
length 44 198 0.224
cartesian 90 345 0.262
escape 90 338 0.268
cgi 265 505 0.525
control_flow 204 105 1.937
varargs 17 8 2.100

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 0.41
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
fib_iter 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
asdl_generated 3.5 6.8 0.52
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 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
tuple_return_value 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
loops 3.8 7.1 0.54
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 12 0.000
cartesian 0 4 0.000
fib_iter 0 8 0.000
files 0 8 0.000
length 0 12 0.000
modules 0 8 0.000
cgi 4 12 0.334
fib_recursive 4 8 0.448
parse 4 8 0.462
scoped_resource 4 8 0.499
control_flow 4 8 0.513
tuple_return_value 8 12 0.681
varargs 50 63 0.788
loops 4 4 0.899
containers 16 16 0.975
escape 16 16 0.989
classes 3 0 inf

raw benchmark files