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 24 0.000
fib_iter 8 877 0.009
modules 2 179 0.010
fib_recursive 11 886 0.012
loops 4 289 0.013
asdl_generated 11 379 0.028
containers 4 124 0.032
scoped_resource 35 1,042 0.034
parse 29 756 0.039
files 4 79 0.048
tuple_return_value 20 187 0.108
length 46 197 0.235
escape 91 350 0.261
cartesian 88 330 0.265
cgi 269 521 0.515
varargs 24 16 1.516
control_flow 210 112 1.873

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 10.9 0.41
asdl_generated 3.5 6.9 0.51
parse 3.9 7.6 0.52
escape 3.5 6.8 0.52
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
length 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
loops 3.8 6.9 0.55
modules 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.5 47.8 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 4 0.000
control_flow 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 4 0.000
length 0 12 0.000
loops 0 8 0.000
modules 0 12 0.000
parse 0 4 0.000
tuple_return_value 0 12 0.000
classes 4 8 0.450
containers 12 20 0.590
varargs 43 58 0.741
cartesian 4 4 0.987
escape 16 8 1.973
files 4 0 inf
scoped_resource 12 0 inf
cgi 0 0 NA

raw benchmark files