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 0 287 0.000
modules 0 347 0.000
fib_recursive 7 891 0.008
fib_iter 7 878 0.008
asdl_generated 11 369 0.029
parse 24 785 0.031
containers 4 106 0.036
scoped_resource 43 1,013 0.043
files 4 72 0.051
tuple_return_value 17 179 0.095
classes 3 17 0.181
length 41 191 0.213
cartesian 83 326 0.254
escape 96 347 0.277
cgi 254 514 0.494
control_flow 209 101 2.061
varargs 16 4 3.902

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 7.7 0.49
fib_iter 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
loops 3.7 7.1 0.52
modules 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
files 3.8 6.8 0.56
containers 28.7 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
cgi 0 8 0.000
classes 0 13 0.000
control_flow 0 12 0.000
fib_iter 0 8 0.000
parse 4 12 0.339
length 4 12 0.341
containers 11 28 0.396
tuple_return_value 3 8 0.429
modules 2 4 0.440
loops 4 8 0.462
scoped_resource 4 8 0.539
varargs 50 68 0.746
files 4 4 0.925
cartesian 8 8 0.979
escape 12 4 3.010
fib_recursive 4 0 inf

raw benchmark files