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
loops 0 289 0.000
fib_iter 4 912 0.004
modules 2 174 0.010
fib_recursive 11 883 0.012
asdl_generated 11 375 0.029
parse 25 781 0.032
containers 4 107 0.036
scoped_resource 40 1,033 0.038
tuple_return_value 10 189 0.054
files 7 71 0.104
length 36 207 0.176
classes 3 15 0.209
cartesian 82 332 0.248
escape 90 352 0.257
cgi 253 519 0.488
varargs 16 20 0.779
control_flow 207 110 1.884

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 3.8 7.5 0.51
scoped_resource 3.7 7.2 0.51
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
fib_recursive 3.7 7.1 0.52
length 3.7 7.1 0.52
cgi 3.5 6.8 0.52
control_flow 3.8 7.1 0.54
fib_iter 3.8 7.1 0.54
modules 3.8 7.1 0.54
escape 3.8 6.9 0.55
files 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
loops 3.9 7.1 0.56
containers 28.6 47.8 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
classes 0 15 0.000
control_flow 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
modules 0 8 0.000
parse 4 12 0.350
containers 12 28 0.419
loops 4 8 0.455
scoped_resource 8 12 0.660
fib_iter 4 4 0.946
varargs 51 52 0.973
length 8 4 2.040
tuple_return_value 10 4 2.521
escape 16 4 3.926
cartesian 8 0 inf
cgi 0 0 NA

raw benchmark files