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
fib_iter 8 898 0.009
modules 2 175 0.010
fib_recursive 11 874 0.012
loops 4 295 0.013
asdl_generated 11 381 0.028
parse 22 771 0.028
scoped_resource 48 1,047 0.046
files 4 72 0.052
containers 8 111 0.069
tuple_return_value 16 189 0.085
length 45 205 0.221
escape 86 346 0.248
cartesian 86 319 0.271
varargs 12 40 0.293
cgi 250 514 0.486
control_flow 206 106 1.950

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
parse 3.9 7.7 0.51
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
files 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
modules 3.7 6.8 0.54
length 3.8 6.9 0.55
control_flow 3.9 7.1 0.56
tuple_return_value 3.8 6.8 0.56
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
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
length 0 4 0.000
loops 0 4 0.000
modules 0 8 0.000
scoped_resource 0 8 0.000
containers 8 28 0.277
classes 3 12 0.278
control_flow 4 8 0.487
cartesian 4 8 0.492
tuple_return_value 4 8 0.513
parse 7 12 0.611
files 4 4 0.932
varargs 54 32 1.707
escape 20 8 2.571
cgi 4 0 inf
asdl_generated 0 0 NA

raw benchmark files