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 0 300 0.000
fib_iter 8 890 0.009
asdl_generated 4 375 0.010
modules 2 172 0.010
fib_recursive 11 887 0.012
parse 23 794 0.028
scoped_resource 43 1,024 0.042
tuple_return_value 16 190 0.085
containers 12 125 0.098
classes 3 33 0.099
files 7 72 0.104
length 45 203 0.221
cartesian 86 326 0.264
escape 105 343 0.306
cgi 268 505 0.530
varargs 20 12 1.620
control_flow 208 103 2.018

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 10.6 0.42
parse 3.7 7.6 0.48
asdl_generated 3.5 6.9 0.51
cgi 3.5 6.9 0.51
fib_recursive 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
loops 3.8 7.2 0.53
cartesian 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.8 7.1 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 6.7 0.57
containers 28.6 47.8 0.60
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 12 0.000
control_flow 0 12 0.000
fib_iter 0 8 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
length 0 8 0.000
modules 0 12 0.000
containers 4 12 0.349
escape 4 8 0.501
varargs 47 60 0.778
asdl_generated 7 8 0.939
tuple_return_value 4 4 0.998
cartesian 4 4 1.019
parse 8 4 1.875
loops 4 0 inf
scoped_resource 4 0 inf
classes 0 0 NA

raw benchmark files