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 19 0.000
files 0 73 0.000
fib_iter 8 890 0.009
modules 2 186 0.010
fib_recursive 11 880 0.012
loops 4 285 0.013
asdl_generated 7 372 0.019
parse 21 760 0.027
scoped_resource 47 1,029 0.046
tuple_return_value 20 222 0.091
containers 12 94 0.125
length 44 200 0.221
cartesian 83 334 0.247
escape 97 341 0.284
cgi 259 513 0.504
control_flow 206 109 1.889
varargs 23 12 1.909

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
escape 3.5 7.1 0.50
parse 3.8 7.6 0.50
asdl_generated 3.7 7.1 0.52
cartesian 3.7 7.1 0.52
fib_iter 3.7 7.1 0.52
loops 3.8 7.2 0.53
modules 3.7 6.9 0.53
cgi 3.5 6.7 0.53
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.8 6.8 0.56
files 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.4 6.9 0.77

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
length 0 8 0.000
loops 0 12 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 4 0.000
containers 4 45 0.087
classes 3 11 0.287
asdl_generated 4 12 0.298
control_flow 4 8 0.500
parse 8 12 0.694
varargs 42 61 0.700
cgi 8 8 1.000
escape 12 12 1.018
files 8 4 1.866
cartesian 8 4 1.956
modules 0 0 NA

raw benchmark files