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 22 0.000
loops 0 284 0.000
fib_recursive 7 888 0.008
fib_iter 8 901 0.008
modules 2 175 0.010
asdl_generated 11 397 0.028
containers 4 113 0.034
parse 29 774 0.038
scoped_resource 43 1,012 0.043
tuple_return_value 16 200 0.080
files 7 61 0.120
length 41 211 0.194
cartesian 85 344 0.248
escape 97 352 0.276
cgi 268 511 0.526
control_flow 209 107 1.960
varargs 21 4 5.214

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
cgi 3.7 7.1 0.52
fib_recursive 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
escape 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.9 7.1 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 4 0.000
cgi 0 8 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
files 0 15 0.000
modules 0 8 0.000
parse 0 8 0.000
fib_recursive 4 12 0.300
loops 4 12 0.304
scoped_resource 4 12 0.330
classes 3 9 0.377
containers 11 20 0.568
varargs 46 68 0.675
escape 8 4 2.023
cartesian 4 0 inf
length 4 0 inf
tuple_return_value 4 0 inf

raw benchmark files