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Thank you for sharing this. It made for extremely interesting
reading.<br>
<br>
Philip<br>
<br>
<div class="moz-cite-prefix">On 08/24/2015 11:10 AM, Jingyue Wu via
llvm-dev wrote:<br>
</div>
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cite="mid:CAMROOrG9bds=VEr50eWv=KUD2N7+0eaPqgfOSQeJfu=w_Dw4-w@mail.gmail.com"
type="cite">
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<div>Hi, </div>
<div><br>
</div>
<div>As you may have noticed, since last year, we (Google's CUDA
compiler team) have contributed quite a lot to the effort of
optimizing LLVM for CUDA programs. I think it's worthwhile to
write some docs to wrap them up for two reasons. </div>
<div>1) Whoever wants to understand or work on these
optimizations has some detailed docs instead of just source
code to refer to. </div>
<div>2) RFC on how to improve these optimizations so that other
targets can benefit from them as well. They are currently
mostly restricted to the NVPTX backend, but I see many
potentials to generalize them. </div>
<div><br>
</div>
<div>So, I started from this overdue <a moz-do-not-send="true"
href="https://docs.google.com/document/d/1momWzKFf4D6h8H3YlfgKQ3qeZy5ayvMRh6yR-Xn2hUE/edit?usp=sharing">design
doc</a> on the straight-line scalar optimizations. I will
send out more docs on other optimizations later. Please feel
free to comment. </div>
<div><br>
</div>
<div>Thanks, </div>
<div>Jingyue</div>
<div><br>
</div>
<div><br>
</div>
</div>
<br>
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