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
loops 0 308 0.000
fib_iter 8 889 0.009
modules 2 178 0.010
fib_recursive 11 890 0.012
asdl_generated 11 373 0.029
containers 4 120 0.032
parse 30 769 0.039
scoped_resource 47 1,021 0.046
tuple_return_value 14 186 0.073
files 7 73 0.102
length 44 200 0.221
cartesian 87 333 0.261
escape 98 354 0.277
cgi 251 509 0.492
varargs 25 20 1.231
control_flow 209 102 2.037

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
scoped_resource 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
parse 3.8 7.3 0.52
cgi 3.7 7.1 0.52
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
asdl_generated 3.7 6.8 0.54
control_flow 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.8 0.56
length 3.8 6.8 0.56
tuple_return_value 3.9 6.8 0.58
containers 28.5 48.0 0.59
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 4 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
length 0 8 0.000
modules 0 4 0.000
parse 0 8 0.000
scoped_resource 0 12 0.000
classes 3 15 0.212
cartesian 4 8 0.493
containers 12 16 0.724
varargs 41 52 0.789
tuple_return_value 7 8 0.840
loops 4 4 0.931
cgi 4 4 1.000
escape 8 0 inf

raw benchmark files