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 4 883 0.004
modules 2 174 0.010
fib_recursive 11 899 0.012
loops 4 297 0.012
asdl_generated 11 384 0.029
parse 25 818 0.031
scoped_resource 47 1,035 0.045
containers 8 102 0.078
tuple_return_value 16 182 0.089
files 8 77 0.105
classes 3 20 0.165
length 45 207 0.216
cartesian 90 329 0.274
escape 100 357 0.279
cgi 258 514 0.501
varargs 12 12 0.969
control_flow 201 117 1.724

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
parse 3.7 7.6 0.48
scoped_resource 3.5 7.1 0.50
fib_iter 3.7 7.1 0.52
files 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
length 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
cgi 3.8 6.8 0.56
containers 28.4 47.8 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 12 0.000
classes 0 12 0.000
fib_recursive 0 8 0.000
length 0 4 0.000
loops 0 4 0.000
modules 0 8 0.000
scoped_resource 0 8 0.000
containers 8 35 0.226
tuple_return_value 4 12 0.339
varargs 55 60 0.904
fib_iter 4 4 0.961
parse 4 4 1.043
cgi 8 4 1.975
control_flow 8 0 inf
escape 8 0 inf
asdl_generated 0 0 NA
files 0 0 NA

raw benchmark files