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 0 290 0.000
fib_recursive 7 886 0.008
fib_iter 8 892 0.009
modules 2 176 0.010
asdl_generated 11 371 0.030
parse 25 768 0.033
scoped_resource 43 1,029 0.042
files 4 72 0.054
containers 12 117 0.100
tuple_return_value 20 188 0.108
classes 3 24 0.147
length 37 203 0.184
cartesian 83 325 0.256
escape 101 341 0.297
cgi 265 496 0.535
varargs 12 12 0.983
control_flow 211 107 1.968

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 4.3 10.8 0.40
asdl_generated 3.5 7.1 0.50
parse 3.8 7.6 0.50
cartesian 3.5 6.9 0.51
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
modules 3.7 6.9 0.53
loops 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
control_flow 3.7 6.8 0.54
fib_iter 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
containers 28.5 47.7 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
classes 0 8 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
modules 0 8 0.000
tuple_return_value 0 4 0.000
containers 4 20 0.192
cgi 4 16 0.253
fib_recursive 4 4 0.896
varargs 55 60 0.917
loops 4 4 0.951
scoped_resource 4 4 0.972
files 4 4 0.973
escape 8 8 0.981
cartesian 8 8 0.987
parse 4 4 1.058
length 7 4 1.837

raw benchmark files