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
varargs 0 36 0.000
fib_iter 8 894 0.008
modules 2 183 0.010
fib_recursive 11 895 0.012
loops 4 289 0.013
asdl_generated 7 372 0.020
parse 25 778 0.032
containers 4 113 0.034
scoped_resource 48 1,011 0.048
files 4 68 0.056
tuple_return_value 20 185 0.108
classes 3 28 0.118
length 34 199 0.170
escape 99 362 0.275
cartesian 92 331 0.277
cgi 266 508 0.523
control_flow 207 102 2.028

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
cartesian 3.5 6.9 0.51
parse 3.9 7.6 0.52
escape 3.7 7.1 0.52
fib_iter 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
loops 3.8 7.1 0.54
tuple_return_value 3.7 6.8 0.54
length 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cartesian 0 4 0.000
cgi 0 8 0.000
classes 0 4 0.000
control_flow 0 12 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
loops 0 8 0.000
modules 0 4 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 8 0.000
files 4 8 0.475
containers 12 24 0.482
parse 4 8 0.518
asdl_generated 4 4 0.917
length 11 8 1.391
varargs 65 36 1.809
escape 8 4 1.978

raw benchmark files