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
containers 0 122 0.000
loops 0 297 0.000
fib_iter 8 868 0.009
modules 2 172 0.010
fib_recursive 11 883 0.012
asdl_generated 7 373 0.019
parse 26 768 0.034
scoped_resource 44 1,023 0.043
tuple_return_value 20 202 0.099
files 7 65 0.113
classes 3 18 0.175
length 40 202 0.198
cartesian 89 335 0.265
escape 108 348 0.311
cgi 271 506 0.535
varargs 16 28 0.560
control_flow 208 102 2.030

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
parse 3.7 7.6 0.48
cartesian 3.5 7.1 0.50
scoped_resource 3.5 7.1 0.50
cgi 3.5 6.9 0.51
escape 3.7 7.1 0.52
length 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
modules 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
loops 3.8 7.1 0.54
files 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
fib_recursive 3.9 6.9 0.57
containers 28.5 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
classes 0 11 0.000
control_flow 0 12 0.000
escape 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
files 0 12 0.000
modules 0 8 0.000
tuple_return_value 0 4 0.000
asdl_generated 4 8 0.449
parse 4 8 0.461
scoped_resource 4 4 0.987
length 4 4 0.988
varargs 50 44 1.157
containers 15 12 1.290
loops 4 0 inf
cartesian 0 0 NA

raw benchmark files