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 0 118 0.000
loops 0 286 0.000
fib_iter 4 896 0.004
modules 2 178 0.010
fib_recursive 11 880 0.012
asdl_generated 7 378 0.019
parse 26 771 0.034
scoped_resource 44 1,032 0.042
files 4 75 0.050
tuple_return_value 20 180 0.112
classes 3 27 0.119
length 40 199 0.200
cartesian 77 330 0.232
escape 106 343 0.309
cgi 267 514 0.520
control_flow 205 104 1.970
varargs 33 4 8.284

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
fib_recursive 3.5 7.1 0.50
parse 3.8 7.6 0.50
scoped_resource 3.5 7.1 0.50
cgi 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
asdl_generated 3.5 6.8 0.52
cartesian 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
length 3.7 6.9 0.53
files 3.8 6.9 0.55
loops 3.8 6.9 0.55
modules 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
escape 3.8 6.7 0.57
containers 28.6 47.8 0.60
varargs 5.5 6.8 0.81

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
classes 0 4 0.000
escape 0 8 0.000
fib_recursive 0 4 0.000
modules 0 8 0.000
tuple_return_value 0 12 0.000
loops 4 12 0.315
length 4 12 0.333
asdl_generated 4 8 0.455
varargs 33 68 0.487
control_flow 4 8 0.492
scoped_resource 4 8 0.497
containers 15 16 0.930
parse 4 4 0.937
cartesian 15 8 1.929
fib_iter 4 0 inf
files 4 0 inf

raw benchmark files