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
fib_iter 8 891 0.009
modules 2 174 0.010
fib_recursive 11 886 0.012
loops 4 295 0.012
parse 29 757 0.039
containers 4 99 0.039
asdl_generated 15 371 0.041
scoped_resource 47 1,013 0.046
tuple_return_value 16 191 0.084
files 8 68 0.114
classes 3 23 0.141
cartesian 70 356 0.196
length 40 199 0.200
escape 104 355 0.293
cgi 262 502 0.521
varargs 12 20 0.577
control_flow 204 110 1.860

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
length 3.5 7.1 0.50
modules 3.5 7.1 0.50
parse 3.8 7.6 0.50
escape 3.5 6.9 0.51
files 3.7 7.1 0.52
scoped_resource 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
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
tuple_return_value 3.9 6.9 0.57
containers 28.7 47.7 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
classes 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
files 0 8 0.000
loops 0 8 0.000
modules 0 8 0.000
parse 0 12 0.000
scoped_resource 0 4 0.000
containers 12 36 0.324
escape 4 8 0.496
length 4 8 0.501
cgi 4 8 0.501
control_flow 4 8 0.510
varargs 54 52 1.036
cartesian 20 4 5.119
tuple_return_value 4 0 inf

raw benchmark files