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
fib_iter 8 898 0.008
modules 2 178 0.010
fib_recursive 11 905 0.012
loops 4 302 0.012
asdl_generated 11 377 0.028
parse 22 770 0.029
scoped_resource 39 1,027 0.038
tuple_return_value 18 195 0.093
containers 12 115 0.101
files 8 73 0.104
classes 3 19 0.166
length 40 199 0.201
cartesian 91 346 0.262
escape 110 351 0.313
cgi 261 513 0.508
control_flow 210 106 1.976
varargs 25 12 2.070

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
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
cgi 3.7 7.1 0.52
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
length 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
fib_recursive 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 8 0.000
cartesian 0 8 0.000
classes 0 12 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
files 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
containers 4 20 0.195
length 4 12 0.335
varargs 41 60 0.690
tuple_return_value 4 4 0.890
parse 7 8 0.926
scoped_resource 8 4 1.949
cgi 8 4 2.002
escape 12 4 2.947

raw benchmark files