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 8 885 0.009
modules 2 187 0.009
fib_recursive 11 883 0.012
loops 4 284 0.013
asdl_generated 11 374 0.029
parse 30 768 0.039
scoped_resource 39 1,021 0.039
containers 4 94 0.040
files 4 68 0.054
tuple_return_value 16 270 0.059
classes 3 23 0.139
length 32 199 0.160
cartesian 86 331 0.260
escape 101 349 0.290
cgi 266 505 0.526
varargs 27 16 1.733
control_flow 208 112 1.863

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 10.8 0.41
parse 3.7 7.5 0.49
escape 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
cgi 3.7 6.9 0.53
files 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
fib_recursive 3.8 7.1 0.54
length 3.8 7.1 0.54
loops 3.8 7.1 0.54
cartesian 3.7 6.8 0.54
fib_iter 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
tuple_return_value 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 4 0.000
classes 0 8 0.000
control_flow 0 4 0.000
fib_iter 0 8 0.000
loops 0 12 0.000
modules 0 4 0.000
parse 0 8 0.000
containers 11 39 0.288
files 4 8 0.458
varargs 39 55 0.707
escape 4 4 0.971
cartesian 4 4 0.983
scoped_resource 8 8 0.985
cgi 4 4 0.990
length 12 12 1.001
tuple_return_value 4 0 inf
fib_recursive 0 0 NA

raw benchmark files