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
loops 0 291 0.000
modules 0 184 0.000
fib_recursive 7 900 0.008
fib_iter 8 895 0.008
asdl_generated 11 374 0.029
containers 4 122 0.032
parse 30 760 0.039
scoped_resource 43 1,030 0.042
files 4 67 0.055
tuple_return_value 20 183 0.110
classes 3 19 0.165
length 40 202 0.198
cartesian 90 332 0.271
escape 98 356 0.275
cgi 268 510 0.525
varargs 16 24 0.657
control_flow 209 107 1.960

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
scoped_resource 3.5 7.1 0.50
parse 3.9 7.6 0.52
length 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
cgi 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_iter 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
files 3.9 6.9 0.57
containers 28.6 47.7 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 4 0.000
classes 0 12 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
parse 0 20 0.000
tuple_return_value 0 8 0.000
files 4 8 0.443
modules 2 4 0.460
scoped_resource 4 8 0.487
length 4 8 0.495
escape 8 12 0.660
fib_recursive 4 4 0.896
loops 4 4 0.956
containers 12 12 0.978
varargs 51 48 1.067
cartesian 0 0 NA

raw benchmark files