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 21 0.000
containers 0 121 0.000
modules 0 177 0.000
fib_iter 8 893 0.009
fib_recursive 11 882 0.012
loops 4 282 0.013
asdl_generated 11 371 0.029
parse 29 768 0.038
scoped_resource 47 1,023 0.046
files 4 65 0.057
tuple_return_value 20 183 0.109
length 40 210 0.190
cartesian 86 318 0.271
escape 98 347 0.283
cgi 260 504 0.515
varargs 24 28 0.842
control_flow 208 104 2.005

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 10.6 0.42
cartesian 3.5 6.9 0.51
escape 3.7 7.1 0.52
files 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
parse 3.9 7.5 0.53
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
loops 3.8 7.1 0.54
length 3.8 6.8 0.56
tuple_return_value 3.8 6.8 0.56
containers 28.7 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
loops 0 12 0.000
parse 0 4 0.000
tuple_return_value 0 8 0.000
files 4 11 0.325
cartesian 4 12 0.328
classes 3 9 0.376
modules 2 4 0.435
varargs 43 44 0.983
escape 8 8 1.014
containers 15 12 1.259
cgi 8 4 1.996
length 4 0 inf
scoped_resource 0 0 NA

raw benchmark files