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 0 116 0.000
loops 0 295 0.000
fib_iter 8 873 0.009
modules 2 173 0.010
fib_recursive 11 875 0.013
asdl_generated 11 375 0.028
parse 30 766 0.039
scoped_resource 43 1,032 0.042
tuple_return_value 20 192 0.105
files 7 65 0.116
classes 3 17 0.179
length 41 207 0.196
cartesian 85 333 0.256
escape 103 339 0.303
cgi 268 504 0.533
varargs 20 23 0.871
control_flow 203 113 1.797

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 10.6 0.41
cgi 3.5 7.1 0.50
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
fib_recursive 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
escape 3.7 6.9 0.53
files 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.7 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
cgi 0 8 0.000
classes 0 13 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
files 0 12 0.000
modules 0 12 0.000
parse 0 12 0.000
tuple_return_value 0 8 0.000
scoped_resource 4 8 0.491
cartesian 4 8 0.511
escape 4 8 0.516
containers 16 24 0.655
loops 4 4 0.923
varargs 47 49 0.965
control_flow 4 0 inf
length 4 0 inf

raw benchmark files