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
containers 0 110 0.000
loops 0 295 0.000
fib_iter 8 886 0.009
modules 2 173 0.011
fib_recursive 11 894 0.012
asdl_generated 6 373 0.015
scoped_resource 40 1,020 0.039
parse 30 758 0.039
files 4 74 0.054
tuple_return_value 17 188 0.093
classes 4 25 0.138
length 38 202 0.187
cartesian 86 340 0.254
escape 107 351 0.305
cgi 256 512 0.500
varargs 24 16 1.519
control_flow 203 117 1.729

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
escape 3.4 7.1 0.48
parse 3.8 7.6 0.50
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
length 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
modules 3.8 7.1 0.54
scoped_resource 3.8 7.1 0.54
files 3.8 6.9 0.55
loops 3.9 7.1 0.56
fib_iter 3.8 6.8 0.56
control_flow 3.9 6.9 0.57
containers 28.5 47.8 0.60
varargs 5.5 7.1 0.78

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
classes 0 8 0.000
escape 0 4 0.000
fib_iter 0 12 0.000
fib_recursive 0 12 0.000
modules 0 12 0.000
parse 0 12 0.000
cartesian 4 12 0.331
tuple_return_value 3 8 0.436
asdl_generated 6 12 0.483
containers 16 33 0.491
loops 4 8 0.529
varargs 43 58 0.743
length 8 8 0.936
scoped_resource 8 8 0.999
files 4 4 1.017
control_flow 4 0 inf

raw benchmark files