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 20 0.000
fib_iter 4 882 0.004
modules 2 174 0.011
fib_recursive 11 877 0.012
loops 4 293 0.013
asdl_generated 11 376 0.029
parse 26 762 0.034
scoped_resource 43 1,028 0.042
files 4 72 0.052
tuple_return_value 20 188 0.107
containers 16 118 0.136
length 40 200 0.200
cartesian 89 332 0.269
escape 102 347 0.295
cgi 265 507 0.524
varargs 12 16 0.728
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 10.6 0.42
files 3.5 7.1 0.50
parse 3.9 7.6 0.52
asdl_generated 3.7 7.1 0.52
escape 3.5 6.8 0.52
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
cartesian 0 4 0.000
containers 0 20 0.000
fib_recursive 0 8 0.000
loops 0 8 0.000
modules 0 8 0.000
tuple_return_value 0 4 0.000
parse 4 16 0.234
classes 4 12 0.307
length 4 12 0.334
control_flow 4 12 0.338
fib_iter 4 8 0.475
escape 4 8 0.493
files 4 4 0.941
varargs 55 57 0.971
scoped_resource 4 4 0.981
cgi 4 4 0.993

raw benchmark files