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
classes 0 19 0.000
containers 0 123 0.000
loops 0 292 0.000
fib_iter 4 907 0.004
modules 2 171 0.011
fib_recursive 11 875 0.012
asdl_generated 8 408 0.018
parse 29 747 0.039
scoped_resource 43 1,030 0.042
tuple_return_value 16 187 0.086
files 8 69 0.110
length 46 209 0.218
cartesian 86 336 0.257
escape 96 344 0.278
varargs 8 16 0.485
cgi 262 501 0.524
control_flow 205 106 1.933

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 10.7 0.41
parse 3.9 7.7 0.51
cartesian 3.5 6.9 0.51
cgi 3.5 6.9 0.51
modules 3.5 6.9 0.51
fib_iter 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
escape 3.7 6.9 0.53
fib_recursive 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
tuple_return_value 3.7 6.8 0.54
files 3.8 6.9 0.55
length 3.8 6.9 0.55
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
fib_recursive 0 12 0.000
files 0 11 0.000
length 0 4 0.000
modules 0 12 0.000
parse 0 16 0.000
classes 3 12 0.287
loops 4 8 0.495
cgi 4 8 0.496
control_flow 4 8 0.502
containers 16 20 0.781
scoped_resource 4 4 0.977
tuple_return_value 4 4 1.011
cartesian 4 4 1.028
varargs 58 56 1.039
escape 12 8 1.495
asdl_generated 4 0 inf
fib_iter 4 0 inf

raw benchmark files