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
containers 0 98 0.000
modules 0 180 0.000
fib_iter 7 896 0.008
fib_recursive 11 902 0.012
loops 4 282 0.013
asdl_generated 11 375 0.030
parse 29 772 0.038
scoped_resource 48 1,021 0.047
files 4 78 0.048
tuple_return_value 16 191 0.085
length 44 203 0.218
cartesian 84 325 0.257
escape 93 353 0.263
classes 3 8 0.413
cgi 261 510 0.511
varargs 23 20 1.179
control_flow 205 113 1.810

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 10.9 0.41
parse 3.8 7.5 0.51
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
cgi 3.7 6.9 0.53
modules 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
asdl_generated 3.7 6.8 0.54
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
control_flow 3.9 6.9 0.57
containers 28.3 48.0 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 4 0.000
classes 0 23 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
length 0 8 0.000
loops 0 12 0.000
parse 0 4 0.000
scoped_resource 0 8 0.000
containers 15 35 0.430
modules 2 4 0.438
varargs 43 51 0.831
files 4 4 0.918
tuple_return_value 4 4 1.015
cartesian 8 4 1.984
escape 12 4 3.017
cgi 8 0 inf
control_flow 4 0 inf

raw benchmark files