llvm dev - Aug 2015 - [CUDA/NVPTX] design doc for memory space inference

As a continuation to the effort of documenting optimizations for GPGPU
programs
<http://lists.llvm.org/pipermail/llvm-dev/2015-August/089574.html>,
I am sending out the design doc <http://goo.gl/5wH2Ct> for another series
of NVPTX-specific optimizations called memory space inference. They are
already upstreamed to LLVM's NVPTX backend (relevant code can be found here
<https://github.com/llvm-mirror/llvm/blob/master/lib/Target/NVPTX/NVPTXTargetMachine.cpp#L183-L193>
).

Again, feel free to comment.

Thanks,
Jingyue
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I just want to chime in saying a huge thank you for documenting this kind
of stuff.

I also wanted to suggest in general turning these design documents into
'.rst' format and putting them into a design document tree in the LLVM
docs. Then, perhaps, referencing them from the code that implements these
techniques. This kind of careful and detailed documentation is a huge
benefit to the community and would help anyone starting to work on NVPTX or
other GPU optimization.

Thanks again,
-Chandler

On Sun, Aug 30, 2015 at 11:10 PM Jingyue Wu <jingyue at google.com> wrote:
> As a continuation to the effort of documenting optimizations for GPGPU
> programs
> <http://lists.llvm.org/pipermail/llvm-dev/2015-August/089574.html>, I
am
> sending out the design doc <http://goo.gl/5wH2Ct> for another series
of
> NVPTX-specific optimizations called memory space inference. They are
> already upstreamed to LLVM's NVPTX backend (relevant code can be found
> here
>
<https://github.com/llvm-mirror/llvm/blob/master/lib/Target/NVPTX/NVPTXTargetMachine.cpp#L183-L193>
> ).
>
> Again, feel free to comment.
>
> Thanks,
> Jingyue
>
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