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 8 889 0.009
modules 2 174 0.011
fib_recursive 11 897 0.012
loops 4 298 0.012
asdl_generated 11 376 0.029
containers 4 104 0.038
parse 30 785 0.038
scoped_resource 40 1,043 0.038
tuple_return_value 16 191 0.085
files 8 62 0.124
length 33 206 0.160
classes 3 20 0.168
cartesian 83 329 0.251
escape 100 348 0.289
cgi 246 503 0.489
varargs 16 19 0.829
control_flow 208 112 1.852

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 10.9 0.41
cartesian 3.5 6.9 0.51
parse 3.9 7.6 0.52
fib_recursive 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
escape 3.7 6.7 0.55
containers 28.5 47.8 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 12 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
files 0 15 0.000
modules 0 8 0.000
parse 0 4 0.000
containers 12 36 0.325
tuple_return_value 4 8 0.499
escape 4 8 0.502
cgi 8 12 0.663
varargs 52 54 0.963
scoped_resource 8 8 0.989
cartesian 8 4 2.085
length 12 4 3.058
loops 0 0 NA

raw benchmark files