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 23 0.000
fib_iter 8 886 0.009
modules 2 175 0.010
fib_recursive 11 886 0.012
loops 4 287 0.013
asdl_generated 11 387 0.030
parse 30 754 0.040
scoped_resource 47 1,025 0.046
files 4 72 0.053
containers 8 107 0.072
tuple_return_value 20 192 0.105
length 45 202 0.222
cartesian 80 324 0.248
escape 107 349 0.305
cgi 268 513 0.523
varargs 27 20 1.361
control_flow 201 111 1.818

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 10.8 0.41
loops 3.5 7.1 0.50
parse 3.8 7.6 0.50
length 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.9 6.9 0.57
control_flow 3.9 6.8 0.58
containers 28.5 47.8 0.59
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 16 0.000
escape 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
length 0 12 0.000
loops 0 8 0.000
modules 0 8 0.000
parse 0 16 0.000
scoped_resource 0 8 0.000
containers 8 28 0.276
classes 3 8 0.422
varargs 39 52 0.748
files 4 4 0.951
cartesian 12 12 1.004
control_flow 8 4 2.036
cgi 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files