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
fib_iter 8 895 0.008
modules 2 172 0.010
fib_recursive 11 883 0.012
loops 5 300 0.016
asdl_generated 11 374 0.029
parse 30 760 0.039
scoped_resource 47 1,017 0.047
files 4 71 0.054
containers 8 110 0.073
tuple_return_value 20 185 0.111
length 37 202 0.181
cartesian 83 335 0.247
escape 108 340 0.317
cgi 252 516 0.489
varargs 20 24 0.814
control_flow 207 109 1.894

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 7.5 0.51
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
modules 3.5 6.9 0.51
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
loops 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
asdl_generated 3.7 6.8 0.54
control_flow 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
containers 28.7 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
cgi 0 4 0.000
control_flow 0 4 0.000
escape 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
modules 0 12 0.000
parse 0 8 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 8 0.000
classes 3 12 0.292
containers 8 24 0.342
cartesian 8 12 0.690
files 4 4 0.972
varargs 47 48 0.977
length 8 8 1.004

raw benchmark files