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
fib_iter 4 890 0.004
modules 2 173 0.010
fib_recursive 11 881 0.012
loops 4 293 0.012
asdl_generated 7 370 0.019
parse 29 786 0.037
scoped_resource 48 1,041 0.046
containers 11 107 0.105
tuple_return_value 20 186 0.108
files 7 68 0.109
length 41 207 0.198
escape 97 365 0.266
cartesian 87 322 0.270
cgi 274 514 0.533
varargs 12 16 0.783
control_flow 210 110 1.919

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 3.9 7.6 0.52
cgi 3.7 7.1 0.52
scoped_resource 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
length 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.8 6.8 0.56
fib_iter 3.9 6.9 0.57
files 3.9 6.9 0.57
containers 28.6 47.7 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
control_flow 0 4 0.000
fib_recursive 0 12 0.000
files 0 8 0.000
loops 0 4 0.000
modules 0 8 0.000
parse 0 4 0.000
scoped_resource 0 16 0.000
tuple_return_value 0 8 0.000
containers 4 24 0.158
asdl_generated 4 8 0.451
cartesian 4 8 0.491
escape 8 12 0.653
fib_iter 4 4 0.945
varargs 54 55 0.969
length 4 4 1.031
classes 3 0 inf

raw benchmark files