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 0 300 0.000
fib_iter 8 1,025 0.007
modules 2 183 0.010
fib_recursive 11 885 0.012
asdl_generated 11 369 0.029
containers 4 117 0.031
parse 25 798 0.031
scoped_resource 43 1,039 0.042
files 4 67 0.056
tuple_return_value 20 185 0.109
length 32 209 0.153
classes 3 19 0.168
cartesian 83 328 0.252
escape 93 342 0.273
varargs 4 12 0.343
cgi 265 506 0.524
control_flow 208 106 1.958

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
scoped_resource 3.5 7.1 0.50
cgi 3.7 7.1 0.52
files 3.7 7.1 0.52
loops 3.7 7.1 0.52
escape 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
length 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.8 0.56
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
classes 0 12 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
tuple_return_value 0 8 0.000
files 4 8 0.478
cgi 4 8 0.500
containers 15 16 0.901
varargs 62 60 1.029
escape 12 8 1.467
cartesian 8 4 1.970
length 12 4 2.993
loops 4 0 inf
parse 4 0 inf
scoped_resource 4 0 inf
modules 0 0 NA

raw benchmark files