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_iter 8 906 0.009
modules 2 175 0.010
fib_recursive 11 919 0.012
loops 4 289 0.013
asdl_generated 11 370 0.029
scoped_resource 39 1,030 0.038
parse 30 768 0.039
files 7 73 0.103
tuple_return_value 20 194 0.104
containers 12 110 0.110
length 41 206 0.201
classes 3 16 0.201
cartesian 90 345 0.260
escape 96 348 0.276
cgi 265 508 0.522
varargs 24 27 0.876
control_flow 205 106 1.932

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_iter 3.5 6.9 0.51
parse 3.9 7.6 0.52
asdl_generated 3.7 7.1 0.52
cartesian 3.7 7.1 0.52
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
fib_recursive 3.8 6.9 0.55
length 3.8 6.9 0.55
tuple_return_value 3.8 6.9 0.55
files 3.9 6.9 0.57
containers 28.7 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
classes 0 16 0.000
control_flow 0 8 0.000
fib_iter 0 8 0.000
fib_recursive 0 12 0.000
files 0 4 0.000
loops 0 12 0.000
modules 0 12 0.000
parse 0 4 0.000
containers 4 27 0.147
length 4 8 0.466
cgi 4 8 0.502
varargs 43 46 0.937
scoped_resource 8 4 1.959
escape 8 4 2.001
cartesian 0 0 NA
tuple_return_value 0 0 NA

raw benchmark files