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
modules 0 173 0.000
fib_iter 8 893 0.009
fib_recursive 11 923 0.012
loops 4 295 0.013
asdl_generated 7 368 0.020
parse 26 780 0.034
scoped_resource 47 1,043 0.045
files 4 72 0.052
containers 7 119 0.055
tuple_return_value 20 190 0.106
classes 3 22 0.147
length 37 204 0.180
cartesian 86 361 0.239
escape 99 346 0.285
cgi 258 548 0.470
varargs 16 15 1.022
control_flow 206 103 2.011

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
parse 3.8 7.6 0.50
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
scoped_resource 3.7 7.1 0.52
cgi 3.5 6.8 0.52
escape 3.7 6.9 0.53
files 3.7 6.9 0.53
control_flow 3.8 7.1 0.54
fib_iter 3.8 7.1 0.54
loops 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
containers 28.5 47.8 0.59
varargs 5.6 6.9 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
classes 0 9 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
loops 0 8 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 4 0.000
modules 2 12 0.152
asdl_generated 4 12 0.301
control_flow 4 12 0.335
parse 4 8 0.469
containers 10 16 0.597
escape 8 12 0.662
varargs 51 57 0.886
files 4 4 0.930
cgi 8 8 0.992
cartesian 4 4 1.024
length 8 4 2.044

raw benchmark files