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
loops 0 292 0.000
modules 0 179 0.000
fib_iter 8 888 0.009
fib_recursive 11 884 0.013
asdl_generated 8 392 0.019
parse 30 759 0.039
scoped_resource 47 1,066 0.044
files 4 68 0.054
containers 12 111 0.108
tuple_return_value 20 184 0.109
classes 3 23 0.140
length 40 207 0.193
cartesian 67 323 0.207
escape 107 344 0.312
cgi 268 512 0.524
varargs 17 16 1.035
control_flow 208 106 1.962

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 3.8 7.6 0.50
length 3.7 7.1 0.52
tuple_return_value 3.7 7.1 0.52
loops 3.8 7.2 0.53
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
escape 3.7 6.9 0.53
modules 3.7 6.9 0.53
scoped_resource 3.7 6.9 0.53
control_flow 3.8 6.9 0.55
fib_iter 3.8 6.9 0.55
fib_recursive 3.8 6.9 0.55
files 3.8 6.9 0.55
containers 28.4 47.8 0.59
varargs 5.6 7.1 0.80

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
cgi 0 4 0.000
classes 0 8 0.000
control_flow 0 8 0.000
escape 0 8 0.000
fib_iter 0 4 0.000
fib_recursive 0 8 0.000
parse 0 12 0.000
scoped_resource 0 12 0.000
tuple_return_value 0 8 0.000
containers 4 28 0.144
asdl_generated 4 12 0.314
modules 2 4 0.459
files 4 8 0.462
varargs 50 56 0.888
loops 4 4 0.929
length 4 4 1.005
cartesian 24 12 1.973

raw benchmark files