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 19 0.000
fib_recursive 7 885 0.008
fib_iter 8 899 0.008
modules 2 181 0.010
loops 4 299 0.012
asdl_generated 11 381 0.028
containers 4 133 0.029
parse 25 774 0.032
scoped_resource 47 1,014 0.046
files 4 66 0.056
tuple_return_value 16 187 0.087
length 37 205 0.181
cartesian 83 322 0.257
escape 106 346 0.307
varargs 12 24 0.516
cgi 273 508 0.538
control_flow 205 107 1.908

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 4.3 10.8 0.40
parse 3.8 7.7 0.49
cartesian 3.5 7.1 0.50
cgi 3.5 6.9 0.51
escape 3.7 7.1 0.52
loops 3.7 7.1 0.52
modules 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
files 3.7 6.9 0.53
length 3.7 6.9 0.53
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 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 4 0.000
cgi 0 8 0.000
escape 0 4 0.000
fib_iter 0 8 0.000
modules 0 4 0.000
scoped_resource 0 12 0.000
classes 3 11 0.279
files 4 12 0.320
control_flow 4 8 0.505
tuple_return_value 4 8 0.511
parse 4 8 0.521
fib_recursive 4 4 0.905
cartesian 8 8 0.991
varargs 54 48 1.117
containers 12 8 1.503
length 8 4 2.049
loops 0 0 NA

raw benchmark files