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
asdl_generated 0 373 0.000
fib_iter 4 914 0.004
modules 2 177 0.010
fib_recursive 11 884 0.012
loops 4 293 0.012
parse 22 770 0.029
scoped_resource 47 1,024 0.046
containers 10 109 0.092
files 7 69 0.096
tuple_return_value 20 190 0.106
classes 3 22 0.147
length 41 214 0.193
cartesian 75 343 0.218
escape 91 342 0.267
varargs 12 24 0.486
cgi 263 513 0.513
control_flow 211 105 1.996

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 4.6 10.7 0.43
parse 3.8 7.5 0.51
cgi 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_iter 3.7 6.9 0.53
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.8 7.1 0.54
control_flow 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
containers 28.5 48.0 0.59
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 9 0.000
control_flow 0 8 0.000
fib_recursive 0 4 0.000
loops 0 4 0.000
modules 0 4 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 4 0.000
containers 5 28 0.178
files 3 8 0.406
parse 7 12 0.611
fib_iter 4 4 0.937
cgi 4 4 0.995
varargs 54 48 1.134
asdl_generated 11 8 1.356
escape 16 8 1.975
cartesian 16 0 inf
length 4 0 inf

raw benchmark files