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
fib_iter 4 892 0.004
modules 2 171 0.010
fib_recursive 11 882 0.012
loops 4 289 0.013
asdl_generated 11 384 0.028
parse 26 786 0.033
scoped_resource 43 1,019 0.043
files 4 67 0.058
tuple_return_value 16 185 0.087
containers 16 117 0.135
classes 3 17 0.189
length 41 200 0.203
cartesian 86 359 0.240
escape 93 354 0.263
cgi 269 532 0.505
varargs 24 12 1.954
control_flow 209 103 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
cgi 3.5 6.9 0.51
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
parse 3.9 7.5 0.53
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
files 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
fib_iter 3.7 6.8 0.54
control_flow 3.8 6.9 0.55
escape 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
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
asdl_generated 0 8 0.000
cgi 0 4 0.000
classes 0 13 0.000
containers 0 20 0.000
control_flow 0 12 0.000
fib_recursive 0 8 0.000
loops 0 4 0.000
modules 0 12 0.000
length 4 12 0.338
files 4 8 0.467
fib_iter 4 8 0.476
scoped_resource 4 8 0.494
tuple_return_value 4 8 0.501
cartesian 4 8 0.513
varargs 43 61 0.716
escape 12 0 inf
parse 4 0 inf

raw benchmark files