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 2 310 0.008
fib_recursive 7 901 0.008
fib_iter 9 888 0.010
modules 2 179 0.010
asdl_generated 8 390 0.021
parse 27 779 0.034
scoped_resource 48 1,039 0.047
containers 8 106 0.074
files 8 69 0.118
classes 4 28 0.128
tuple_return_value 25 189 0.130
length 39 207 0.190
cartesian 88 335 0.264
escape 110 348 0.317
cgi 274 515 0.533
varargs 12 20 0.595
control_flow 213 110 1.945

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 10.6 0.41
parse 3.8 7.6 0.50
cgi 3.5 6.9 0.51
cartesian 3.7 7.1 0.52
fib_iter 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
escape 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
classes 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
files 0 8 0.000
modules 0 4 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 8 0.000
containers 8 35 0.222
length 8 12 0.658
fib_recursive 4 4 0.901
parse 4 4 0.951
asdl_generated 4 4 0.997
cartesian 8 8 1.008
escape 4 4 1.020
varargs 56 53 1.069
loops 2 0 inf

raw benchmark files