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 20 0.000
fib_recursive 7 874 0.008
fib_iter 8 895 0.008
modules 2 181 0.010
loops 4 296 0.012
asdl_generated 11 376 0.028
parse 25 755 0.033
scoped_resource 43 1,032 0.042
containers 8 119 0.067
tuple_return_value 20 186 0.106
files 8 65 0.119
length 37 202 0.181
cartesian 79 327 0.242
escape 106 355 0.299
cgi 242 506 0.478
varargs 16 16 1.039
control_flow 202 110 1.836

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 10.7 0.40
cgi 3.4 6.9 0.49
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
escape 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
files 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
control_flow 3.9 7.1 0.56
fib_recursive 3.9 6.9 0.57
containers 28.7 47.8 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 4 0.000
fib_iter 0 4 0.000
files 0 11 0.000
modules 0 4 0.000
tuple_return_value 0 8 0.000
classes 3 12 0.273
containers 8 20 0.400
fib_recursive 4 8 0.449
scoped_resource 4 8 0.496
parse 4 8 0.522
varargs 49 55 0.890
cgi 8 8 1.012
length 8 8 1.024
control_flow 8 4 1.944
cartesian 12 4 3.134
escape 0 0 NA
loops 0 0 NA

raw benchmark files