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 27 0.000
fib_recursive 7 887 0.008
fib_iter 8 884 0.009
asdl_generated 4 399 0.009
modules 2 177 0.010
loops 4 293 0.013
parse 25 780 0.033
scoped_resource 48 1,070 0.045
containers 8 104 0.075
tuple_return_value 20 183 0.110
files 7 65 0.113
length 40 199 0.203
cartesian 87 325 0.267
escape 103 372 0.277
cgi 265 516 0.513
control_flow 208 106 1.969
varargs 29 12 2.393

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 10.9 0.42
parse 3.8 7.7 0.49
escape 3.5 7.1 0.50
cartesian 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
loops 3.8 7.1 0.54
fib_iter 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.8 6.8 0.56
containers 28.6 47.7 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
control_flow 0 8 0.000
fib_iter 0 8 0.000
files 0 11 0.000
loops 0 4 0.000
modules 0 4 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 8 0.000
containers 8 32 0.243
escape 4 12 0.343
cgi 4 8 0.493
length 4 8 0.507
varargs 37 61 0.615
classes 3 4 0.844
fib_recursive 4 4 0.902
cartesian 4 4 1.028
parse 4 4 1.062
asdl_generated 7 0 inf

raw benchmark files