<div dir="ltr">Polly supports experimental PTX code generation using PPCG's mapping algorithm.<div><br></div><div>Cheers,</div><div>Philip</div></div><br><div class="gmail_quote"><div dir="ltr">On Tue, Dec 11, 2018 at 8:44 AM Madhur Amilkanthwar via llvm-dev <<a href="mailto:llvm-dev@lists.llvm.org">llvm-dev@lists.llvm.org</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hmm.. AFAIK, state-of-the-art tools use source-to-source approach. You may want to look at current PPCG if they have an option to bypass CUDA (I suspect not). <div>Is there any reason why you want to avoid that?</div></div><br><div class="gmail_quote"><div dir="ltr">On Tue, Dec 11, 2018 at 1:05 PM hameeza ahmed <<a href="mailto:hahmed2305@gmail.com" target="_blank">hahmed2305@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div>Thank You..</div><div>I am asking to generate directly PTX code automatically or by directives without involvement of CUDA. This way, I am talking about avoiding source to source compiler approach where c code is converted automatically into CUDA, instead I am saying directly to convert C code to PTX assembly.<br></div></div><br><div class="gmail_quote"><div dir="ltr">On Tue, Dec 11, 2018 at 12:19 PM Madhur Amilkanthwar <<a href="mailto:madhur13490@gmail.com" target="_blank">madhur13490@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="auto">You can skip CUDA code generation and target PTX assembly. PTX is a common assembly language for NVIDIA's GPU. You may want to look at PPCG, Pluto projects to get a hint of how automatic CUDA code can be generated by compilers. They are based on polyhedral model so come with some inherent limitations.</div><br><div class="gmail_quote"><div dir="ltr">On Tue, Dec 11, 2018, 12:07 PM hameeza ahmed via llvm-dev <<a href="mailto:llvm-dev@lists.llvm.org" target="_blank">llvm-dev@lists.llvm.org</a> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div>Hello,</div><div>I need to ask, like automatic compiler vectorization, can GPU ISA be generated automatically, by skipping the CUDA programming?</div><div>For instance if i just write C code there can be 2 possibilities, semi and full automatic.</div><div>In case of semi, we can write #pragma directives to say this should be run on gpu. hence can the compiler generates directly gpu ISA, skipping CUDA code?</div><div>In case of fully automatic, can we just write simple C code and compiler is intelligent enough to determine which portion is suitable for GPU and generates GPU ISA accordingly?</div><div><br></div><div>I need to know the progress made so far in both the above mentioned directions.</div><div><br></div><div>Thank You</div><div>Regards<br></div></div>
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