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 24 0.000
modules 0 178 0.000
fib_iter 8 885 0.009
fib_recursive 11 914 0.012
loops 4 292 0.013
asdl_generated 11 379 0.028
parse 23 782 0.029
scoped_resource 35 1,061 0.033
containers 4 113 0.035
files 7 72 0.104
tuple_return_value 21 184 0.111
length 37 200 0.184
cartesian 85 326 0.261
escape 97 355 0.274
cgi 270 512 0.527
varargs 20 12 1.638
control_flow 207 111 1.870

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 10.8 0.41
parse 3.8 7.7 0.49
scoped_resource 3.5 6.9 0.51
cgi 3.7 7.1 0.52
files 3.7 7.1 0.52
loops 3.7 7.1 0.52
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
cartesian 3.7 6.8 0.54
asdl_generated 3.8 6.9 0.55
length 3.8 6.9 0.55
control_flow 3.9 7.1 0.56
containers 28.6 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 16 0.000
cgi 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
loops 0 4 0.000
tuple_return_value 0 8 0.000
modules 2 4 0.456
classes 4 8 0.459
containers 12 24 0.494
cartesian 4 8 0.504
varargs 47 60 0.786
parse 8 8 0.949
length 8 8 1.020
escape 8 4 2.006
scoped_resource 12 0 inf

raw benchmark files