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 8 876 0.009
modules 2 168 0.011
fib_recursive 11 855 0.013
loops 4 283 0.013
asdl_generated 10 377 0.027
parse 25 758 0.033
scoped_resource 37 1,001 0.037
containers 8 116 0.065
tuple_return_value 16 188 0.083
files 7 65 0.114
classes 3 22 0.149
length 41 195 0.209
cartesian 80 333 0.239
escape 108 342 0.315
cgi 265 512 0.517
varargs 20 20 1.013
control_flow 205 109 1.885

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 10.7 0.41
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
escape 3.5 6.9 0.51
fib_recursive 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
fib_iter 3.7 6.9 0.53
loops 3.8 7.1 0.54
modules 3.8 7.1 0.54
asdl_generated 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.7 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 4 0.000
classes 0 9 0.000
control_flow 0 4 0.000
escape 0 4 0.000
fib_iter 0 8 0.000
fib_recursive 0 8 0.000
files 0 8 0.000
loops 0 4 0.000
modules 0 12 0.000
containers 8 16 0.472
tuple_return_value 4 8 0.489
length 4 8 0.512
varargs 45 52 0.857
parse 4 4 1.042
cartesian 8 4 2.011
scoped_resource 8 0 inf
cgi 0 0 NA

raw benchmark files