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 4 889 0.004
modules 2 174 0.012
fib_recursive 11 883 0.012
loops 4 285 0.013
asdl_generated 7 369 0.019
scoped_resource 39 1,078 0.036
parse 29 744 0.039
files 4 70 0.053
containers 8 107 0.072
tuple_return_value 20 193 0.104
classes 3 27 0.118
length 41 206 0.197
cartesian 86 358 0.239
escape 99 359 0.274
cgi 259 504 0.514
varargs 21 33 0.619
control_flow 207 108 1.913

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
cgi 3.5 7.1 0.50
parse 3.9 7.6 0.52
asdl_generated 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
cartesian 3.8 6.9 0.55
length 3.8 6.9 0.55
loops 3.9 7.1 0.56
control_flow 3.9 6.9 0.57
files 3.9 6.9 0.57
containers 28.4 47.8 0.59
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 4 0.000
control_flow 0 8 0.000
fib_recursive 0 8 0.000
loops 0 12 0.000
modules 0 12 0.000
parse 0 16 0.000
tuple_return_value 0 8 0.000
containers 8 28 0.279
asdl_generated 4 12 0.301
fib_iter 4 8 0.475
files 4 8 0.480
scoped_resource 8 8 0.982
length 4 4 1.002
cgi 8 8 1.011
varargs 45 37 1.211
escape 8 4 1.974
cartesian 4 0 inf

raw benchmark files