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 22 0.000
modules 0 181 0.000
fib_iter 8 1,041 0.007
fib_recursive 11 878 0.013
loops 4 289 0.013
asdl_generated 11 391 0.027
parse 25 760 0.033
scoped_resource 48 1,027 0.047
containers 8 109 0.071
files 8 71 0.109
tuple_return_value 20 183 0.109
length 44 194 0.229
cartesian 82 326 0.252
escape 94 355 0.266
cgi 263 512 0.512
varargs 21 28 0.739
control_flow 206 104 1.987

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 3.8 7.6 0.50
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
length 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
cgi 3.8 6.9 0.55
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
fib_recursive 3.8 6.8 0.56
containers 28.5 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
length 0 12 0.000
loops 0 8 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 8 0.000
containers 8 32 0.239
classes 3 9 0.376
modules 2 4 0.442
parse 4 8 0.523
cartesian 8 8 0.985
varargs 46 44 1.034
cgi 8 4 2.018
escape 12 0 inf
asdl_generated 0 0 NA

raw benchmark files