[Numpy-discussion] GSOC 2013
Tue Mar 5 12:14:22 CST 2013
On Tue, Mar 5, 2013 at 1:45 AM, Eric Firing <firstname.lastname@example.org> wrote:
> On 2013/03/04 9:01 PM, Nicolas Rougier wrote:
>>> >This made me think of a serious performance limitation of structured dtypes: a
>>> >structured dtype is always "packed", which may lead to terrible byte alignment
>>> >for common types. For instance, `dtype([('a', 'u1'), ('b',
>>> >'u8')]).itemsize == 9`,
>>> >meaning that the 8-byte integer is not aligned as an equivalent C-struct's
>>> >would be, leading to all sorts of horrors at the cache and register level.
> Doesn't the "align" kwarg of np.dtype do what you want?
> In : dt = np.dtype(dict(names=['a', 'b'], formats=['u1', 'u8']),
> In : dt.itemsize
> Out: 16
Thanks! That's what I get for not checking before posting.
Consider this my vote to make `aligned=True` the default.
> NumPy-Discussion mailing list
More information about the NumPy-Discussion