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 8 894 0.008
modules 2 185 0.010
fib_recursive 11 963 0.011
loops 4 286 0.013
asdl_generated 11 380 0.028
scoped_resource 40 1,028 0.039
parse 30 778 0.039
files 4 73 0.051
containers 8 132 0.059
tuple_return_value 20 188 0.108
length 45 209 0.216
cartesian 79 328 0.241
escape 97 370 0.261
cgi 257 508 0.506
varargs 16 24 0.655
control_flow 203 103 1.972

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
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
parse 3.9 7.5 0.53
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
fib_recursive 3.7 6.8 0.54
files 3.8 6.8 0.56
containers 28.6 48.0 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
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
loops 0 12 0.000
modules 0 8 0.000
parse 0 4 0.000
tuple_return_value 0 4 0.000
classes 3 11 0.283
containers 8 24 0.324
control_flow 4 12 0.335
files 4 4 0.926
cgi 12 12 0.988
scoped_resource 8 8 0.991
varargs 51 48 1.064
cartesian 12 4 2.959
escape 12 0 inf
length 0 0 NA

raw benchmark files