| Re: [eigen] Small dynamic matrix optimization |
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- To: eigen@xxxxxxxxxxxxxxxxxxx
- Subject: Re: [eigen] Small dynamic matrix optimization
- From: Christoph Hertzberg <chtz@xxxxxxxxxxxxxxxxxxxxxxxx>
- Date: Mon, 21 Oct 2019 16:15:22 +0200
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This is already done for some temporaries (like blocks in
cache-optimized GEMM). Doing that for custom types would be interesting,
but not trivial (e.g., move-behavior is completely different, if you
want to move the data to an object higher in the stack).
If you are ok with managing data yourself, you can manually achieve this
by alloca/allocate-ing data yourself and use an Eigen::Map to refer to
the data.
If you have a proof-of-concept how this could be integrated into the
Eigen API, we are open for suggestions!
Another idea would be to allow custom allocators for matrices -- in that
case the custom allocator could very easily be a stack-allocator (which
would not even need to use the "main" stack). But that's also not too
easy to integrate without breaking the current API (adding a new type
would of course be an option for that).
Cheers,
Christoph
On 21/10/2019 15.39, Rob Conde wrote:
I'm wondering if a small dynamic matrix optimization has been considered. In other words, allowing a stack allocation for matrices of unknown size up to a certain limit and using a heap allocation beyond that?
Rob Conde
--
Dr.-Ing. Christoph Hertzberg
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