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 0 178 0.000
fib_iter 8 898 0.009
loops 4 296 0.012
fib_recursive 11 874 0.012
asdl_generated 7 373 0.019
parse 26 761 0.034
scoped_resource 43 1,054 0.041
containers 8 96 0.081
tuple_return_value 20 200 0.101
files 8 71 0.108
classes 3 19 0.169
length 44 202 0.218
cartesian 82 319 0.257
escape 98 355 0.276
cgi 258 510 0.505
varargs 25 24 1.036
control_flow 206 109 1.886

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
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
loops 3.8 7.2 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
fib_recursive 3.8 7.1 0.54
scoped_resource 3.7 6.8 0.54
files 3.8 6.9 0.55
length 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 12 0.000
fib_iter 0 4 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
length 0 8 0.000
tuple_return_value 0 8 0.000
containers 8 40 0.194
asdl_generated 4 8 0.447
modules 2 4 0.449
scoped_resource 4 8 0.486
parse 4 8 0.535
cartesian 8 12 0.686
varargs 41 47 0.864
control_flow 4 4 0.979
escape 8 4 1.966
cgi 8 4 1.974
loops 0 0 NA

raw benchmark files