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 26 0.000
fib_iter 8 905 0.008
modules 2 183 0.010
fib_recursive 11 889 0.012
loops 4 290 0.013
asdl_generated 7 385 0.019
parse 30 778 0.038
scoped_resource 43 1,021 0.042
containers 8 110 0.071
tuple_return_value 20 189 0.106
files 7 67 0.109
length 45 202 0.225
cartesian 89 328 0.271
escape 95 345 0.275
cgi 261 516 0.505
varargs 25 28 0.898
control_flow 209 113 1.859

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 10.7 0.41
cgi 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
fib_recursive 3.7 6.8 0.54
length 3.7 6.8 0.54
files 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.3 47.8 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 4 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
files 0 8 0.000
length 0 4 0.000
loops 0 8 0.000
parse 0 8 0.000
tuple_return_value 0 8 0.000
asdl_generated 4 12 0.304
scoped_resource 4 12 0.325
containers 8 24 0.330
cartesian 4 8 0.483
classes 3 4 0.745
varargs 41 43 0.952
escape 12 8 1.494
cgi 8 4 2.004
modules 0 0 NA

raw benchmark files