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
modules 0 174 0.000
fib_recursive 7 891 0.008
fib_iter 8 889 0.009
loops 4 281 0.013
asdl_generated 5 368 0.015
parse 29 773 0.038
scoped_resource 47 1,048 0.045
containers 8 107 0.075
tuple_return_value 20 201 0.101
files 8 73 0.106
length 40 208 0.192
classes 3 15 0.210
cartesian 84 327 0.258
escape 102 341 0.300
cgi 268 533 0.502
varargs 19 20 0.977
control_flow 210 98 2.140

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 7.6 0.50
cartesian 3.7 7.1 0.52
cgi 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
loops 3.8 7.2 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
asdl_generated 3.8 6.8 0.56
fib_recursive 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 15 0.000
control_flow 0 16 0.000
fib_iter 0 8 0.000
files 0 4 0.000
loops 0 16 0.000
parse 0 4 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 4 0.000
modules 2 8 0.234
containers 8 28 0.291
asdl_generated 5 12 0.449
escape 4 8 0.516
fib_recursive 4 4 0.895
varargs 47 52 0.902
length 4 4 1.000
cartesian 8 4 1.925
cgi 8 4 1.994

raw benchmark files