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 16 0.000
modules 0 174 0.000
fib_recursive 7 884 0.008
fib_iter 8 894 0.008
loops 4 292 0.012
asdl_generated 11 375 0.029
parse 29 767 0.038
scoped_resource 47 1,038 0.045
containers 8 122 0.063
files 7 72 0.103
tuple_return_value 20 177 0.113
length 41 207 0.197
cartesian 84 330 0.254
escape 107 353 0.302
varargs 12 24 0.516
cgi 270 514 0.526
control_flow 207 106 1.953

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 10.6 0.42
loops 3.7 7.2 0.51
asdl_generated 3.5 6.9 0.51
cartesian 3.5 6.9 0.51
scoped_resource 3.5 6.9 0.51
parse 3.9 7.6 0.52
cgi 3.7 7.1 0.52
length 3.7 7.1 0.52
modules 3.7 7.1 0.52
fib_iter 3.8 7.1 0.54
files 3.8 7.1 0.54
escape 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
tuple_return_value 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
asdl_generated 0 8 0.000
control_flow 0 8 0.000
fib_iter 0 4 0.000
files 0 8 0.000
loops 0 8 0.000
parse 0 12 0.000
scoped_resource 0 4 0.000
tuple_return_value 0 16 0.000
classes 3 16 0.203
modules 2 8 0.218
fib_recursive 4 8 0.446
cgi 4 8 0.499
containers 8 12 0.633
cartesian 8 8 0.993
length 4 4 1.025
varargs 54 48 1.118
escape 0 0 NA

raw benchmark files