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 0 306 0.000
fib_iter 8 927 0.008
fib_recursive 7 874 0.008
modules 2 176 0.010
asdl_generated 11 378 0.029
parse 22 758 0.029
scoped_resource 40 1,034 0.039
files 4 72 0.055
tuple_return_value 12 198 0.061
containers 10 109 0.094
classes 3 19 0.169
length 44 197 0.224
cartesian 86 323 0.265
escape 102 342 0.299
cgi 269 506 0.531
varargs 20 24 0.814
control_flow 209 106 1.972

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 7.5 0.51
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
fib_iter 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cgi 3.7 6.9 0.53
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
files 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.8 6.8 0.56
fib_recursive 3.8 6.8 0.56
containers 28.7 47.7 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 11 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
length 0 12 0.000
modules 0 8 0.000
containers 5 24 0.211
escape 4 12 0.343
fib_recursive 4 4 0.899
loops 4 4 0.922
varargs 47 48 0.976
files 4 4 0.987
scoped_resource 8 8 1.003
cartesian 4 4 1.024
parse 7 4 1.853
tuple_return_value 8 4 1.990

raw benchmark files