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_recursive 7 880 0.008
fib_iter 8 883 0.009
modules 2 183 0.010
loops 4 286 0.013
asdl_generated 7 375 0.019
parse 22 767 0.029
scoped_resource 44 1,033 0.043
tuple_return_value 16 192 0.084
files 7 67 0.110
containers 15 111 0.138
classes 3 19 0.169
length 41 199 0.207
cartesian 83 324 0.255
escape 101 353 0.286
cgi 268 508 0.528
varargs 16 20 0.779
control_flow 214 102 2.088

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
cartesian 3.5 7.1 0.50
parse 3.8 7.5 0.51
cgi 3.5 6.9 0.51
modules 3.5 6.9 0.51
asdl_generated 3.7 7.1 0.52
length 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
escape 3.7 6.9 0.53
fib_iter 3.8 7.1 0.54
loops 3.8 7.1 0.54
tuple_return_value 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
control_flow 3.9 6.9 0.57
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 8 0.000
classes 0 12 0.000
containers 0 24 0.000
control_flow 0 12 0.000
fib_iter 0 8 0.000
files 0 8 0.000
loops 0 12 0.000
modules 0 4 0.000
scoped_resource 4 12 0.334
fib_recursive 4 8 0.448
length 4 8 0.517
asdl_generated 4 4 0.897
parse 7 8 0.916
varargs 51 52 0.974
cartesian 8 8 0.983
tuple_return_value 4 4 1.010
escape 8 4 2.036

raw benchmark files