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 24 0.000
modules 0 178 0.000
fib_iter 8 884 0.009
fib_recursive 11 881 0.012
loops 4 297 0.013
asdl_generated 7 387 0.019
parse 30 765 0.039
scoped_resource 47 1,032 0.046
containers 8 107 0.072
files 7 72 0.103
tuple_return_value 20 190 0.106
length 44 207 0.211
cartesian 77 324 0.237
escape 86 350 0.247
cgi 265 502 0.528
varargs 19 28 0.696
control_flow 213 112 1.904

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 3.9 7.7 0.51
escape 3.5 6.9 0.51
fib_iter 3.7 6.9 0.53
modules 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
loops 3.8 7.1 0.54
asdl_generated 3.7 6.8 0.54
length 3.7 6.8 0.54
cgi 3.8 6.9 0.55
control_flow 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
scoped_resource 3.8 6.9 0.55
cartesian 3.8 6.8 0.56
files 3.9 6.9 0.57
containers 28.4 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 4 0.000
fib_iter 0 8 0.000
files 0 4 0.000
length 0 4 0.000
loops 0 8 0.000
parse 0 12 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 8 0.000
containers 8 28 0.278
cgi 4 12 0.336
classes 3 8 0.406
modules 2 4 0.446
varargs 46 44 1.064
cartesian 12 4 3.028
escape 20 4 4.949
asdl_generated 4 0 inf
fib_recursive 0 0 NA

raw benchmark files