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 15 0.000
modules 0 129 0.000
fib_iter 5 622 0.008
loops 2 201 0.011
fib_recursive 7 619 0.012
scoped_resource 7 525 0.012
asdl_generated 7 268 0.026
parse 20 543 0.036
files 5 50 0.090
tuple_return_value 13 130 0.103
length 25 145 0.175
containers 12 64 0.186
cartesian 60 235 0.254
escape 72 243 0.297
cgi 178 356 0.501
varargs 15 8 1.876
control_flow 147 77 1.921

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
parse 3.9 7.7 0.50
cgi 3.7 7.1 0.52
escape 3.7 7.2 0.52
cartesian 3.7 7.1 0.52
loops 3.8 7.3 0.52
modules 3.8 7.3 0.52
scoped_resource 3.7 7.2 0.52
asdl_generated 3.6 7.0 0.52
length 3.8 7.1 0.53
fib_recursive 3.8 7.1 0.53
fib_iter 3.8 7.0 0.54
files 3.8 7.0 0.54
tuple_return_value 3.8 7.0 0.54
control_flow 3.9 7.1 0.55
containers 28.5 47.9 0.60
varargs 5.6 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
tuple_return_value 0 4 0.000
modules 1 8 0.135
containers 8 24 0.331
classes 2 4 0.515
varargs 12 21 0.564
length 4 0 inf
asdl_generated 0 0 NA
cartesian 0 0 NA
cgi 0 0 NA
control_flow 0 0 NA
escape 0 0 NA
files 0 0 NA
parse 0 0 NA
scoped_resource 0 0 NA

raw benchmark files