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 0 181 0.000
fib_recursive 7 872 0.008
fib_iter 8 889 0.009
loops 4 287 0.013
asdl_generated 11 372 0.029
parse 26 781 0.033
scoped_resource 43 1,048 0.041
containers 8 112 0.070
tuple_return_value 20 199 0.101
files 7 61 0.122
classes 3 24 0.135
length 45 208 0.214
cartesian 91 316 0.288
escape 102 344 0.296
cgi 271 504 0.538
control_flow 206 109 1.891
varargs 29 11 2.550

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 7.5 0.51
escape 3.5 6.9 0.51
tuple_return_value 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
modules 3.9 6.9 0.57
containers 28.5 47.8 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
cartesian 0 16 0.000
classes 0 8 0.000
fib_iter 0 8 0.000
files 0 15 0.000
loops 0 12 0.000
tuple_return_value 0 12 0.000
fib_recursive 4 12 0.308
containers 8 24 0.328
modules 2 4 0.455
control_flow 4 8 0.491
scoped_resource 4 8 0.495
escape 4 8 0.508
parse 4 8 0.535
varargs 38 61 0.615
cgi 8 8 1.012
length 0 0 NA

raw benchmark files