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 19 0.000
modules 0 180 0.000
fib_iter 8 1,021 0.007
fib_recursive 11 884 0.012
loops 4 290 0.013
asdl_generated 11 376 0.029
parse 29 820 0.036
scoped_resource 47 1,015 0.046
files 8 72 0.106
tuple_return_value 20 189 0.106
containers 15 111 0.136
length 36 214 0.171
cartesian 87 331 0.263
escape 94 339 0.279
cgi 254 507 0.501
varargs 17 24 0.686
control_flow 215 111 1.935

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 3.8 7.6 0.50
scoped_resource 3.5 7.1 0.50
asdl_generated 3.5 6.9 0.51
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
cartesian 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_recursive 3.9 7.1 0.56
control_flow 3.8 6.8 0.56
containers 28.7 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
containers 0 24 0.000
control_flow 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
files 0 4 0.000
loops 0 8 0.000
parse 0 4 0.000
scoped_resource 0 12 0.000
tuple_return_value 0 4 0.000
modules 2 8 0.223
classes 3 11 0.280
cartesian 4 8 0.490
escape 12 12 0.987
varargs 50 48 1.030
length 8 0 inf
asdl_generated 0 0 NA

raw benchmark files