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
fib_iter 8 883 0.009
modules 2 176 0.010
fib_recursive 11 877 0.012
loops 4 288 0.013
asdl_generated 11 374 0.029
parse 26 754 0.034
scoped_resource 48 1,024 0.047
files 4 72 0.052
containers 10 103 0.102
tuple_return_value 20 191 0.105
length 41 200 0.206
cartesian 85 329 0.258
varargs 8 28 0.282
escape 97 341 0.286
cgi 269 512 0.525
control_flow 209 103 2.025

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
cgi 3.5 6.9 0.51
modules 3.5 6.9 0.51
scoped_resource 3.5 6.9 0.51
parse 3.9 7.6 0.52
files 3.7 7.1 0.52
length 3.7 7.1 0.52
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
asdl_generated 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
loops 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
control_flow 0 12 0.000
fib_iter 0 12 0.000
fib_recursive 0 8 0.000
loops 0 8 0.000
modules 0 8 0.000
scoped_resource 0 12 0.000
tuple_return_value 0 12 0.000
containers 5 32 0.165
classes 3 15 0.211
length 4 12 0.311
parse 4 8 0.459
files 4 4 0.934
escape 8 8 0.972
cartesian 4 4 1.021
varargs 60 45 1.345
cgi 0 0 NA

raw benchmark files