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 4 898 0.004
modules 2 178 0.010
loops 4 300 0.012
fib_recursive 11 873 0.012
asdl_generated 11 374 0.029
parse 26 815 0.032
scoped_resource 47 1,017 0.047
files 4 73 0.053
containers 8 111 0.072
tuple_return_value 16 185 0.088
classes 3 23 0.141
length 44 203 0.215
cartesian 87 330 0.263
escape 101 344 0.293
cgi 265 508 0.521
varargs 27 24 1.145
control_flow 210 110 1.906

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
cartesian 3.5 7.1 0.50
parse 3.8 7.6 0.50
fib_iter 3.5 6.9 0.51
escape 3.7 7.1 0.52
loops 3.7 7.1 0.52
scoped_resource 3.7 7.1 0.52
asdl_generated 3.7 6.9 0.53
cgi 3.7 6.9 0.53
tuple_return_value 3.8 7.1 0.54
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
length 3.8 6.9 0.55
modules 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
classes 0 8 0.000
control_flow 0 4 0.000
fib_recursive 0 12 0.000
length 0 8 0.000
loops 0 4 0.000
modules 0 4 0.000
scoped_resource 0 8 0.000
containers 8 24 0.337
fib_iter 4 8 0.472
cgi 4 8 0.502
tuple_return_value 4 8 0.504
escape 4 8 0.504
varargs 39 48 0.818
parse 4 4 0.924
files 4 4 0.951
cartesian 4 4 0.992

raw benchmark files