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<p>This sounds very similar to what I had developed here:
<a class="moz-txt-link-freetext" href="https://github.com/hfinkel/llvm-project-cxxjit/tree/cxxjit/clang">https://github.com/hfinkel/llvm-project-cxxjit/tree/cxxjit/clang</a>
-- please look at the code in
<a class="moz-txt-link-freetext" href="https://github.com/hfinkel/llvm-project-cxxjit/blob/cxxjit/clang/lib/CodeGen/JIT.cpp">https://github.com/hfinkel/llvm-project-cxxjit/blob/cxxjit/clang/lib/CodeGen/JIT.cpp</a>,
etc., for an example of how you can get JIT'd CUDA kernels up and
running.</p>
<p> -Hal<br>
</p>
<div class="moz-cite-prefix">On 11/19/20 12:10 PM, Geoff Levner via
llvm-dev wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CAHMBa1uJs-3tWRevdT8+YezniM9UOMduQ4G2f0ip3aHj5pJVOw@mail.gmail.com">
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<div dir="ltr">
<div>I have made a bit of progress... When compiling CUDA source
code in memory, the Compilation instance returned by
Driver::BuildCompilation() contains two clang Commands: one
for the host and one for the CUDA device. I can execute both
commands using EmitLLVMOnlyActions. I add the Module from the
host compilation to my JIT as usual, but... what to do with
the Module from the device compilation? If I just add it to
the JIT, I get an error message like this:</div>
<div><br>
</div>
<div> Added modules have incompatible data layouts:
e-i64:64-i128:128-v16:16-v32:32-n16:32:64 (module) vs
e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128
(jit)</div>
<div><br>
</div>
<div>Any suggestions as to what to do with the Module containing
CUDA kernel code, so that the host Module can invoke it?</div>
<div><br>
</div>
<div>Geoff<br>
</div>
<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">On Tue, Nov 17, 2020 at 6:39
PM Geoff Levner <<a href="mailto:glevner@gmail.com"
moz-do-not-send="true">glevner@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>We have an application that allows the user to
compile and execute C++ code on the fly, using Orc JIT
v2, via the LLJIT class. And we would like to extend it
to allow the user to provide CUDA source code as well,
for GPU programming. But I am having a hard time
figuring out how to do it.</div>
<div><br>
</div>
<div>To JIT compile C++ code, we do basically as follows:</div>
<div><br>
</div>
<div>1. call Driver::BuildCompilation(), which returns a
clang Command to execute</div>
<div>2. create a CompilerInvocation using the arguments
from the Command</div>
<div>3. create a CompilerInstance around the
CompilerInvocation</div>
<div>4. use the CompilerInstance to execute an
EmitLLVMOnlyAction</div>
<div>5. retrieve the resulting Module from the action and
add it to the JIT</div>
<div><br>
</div>
<div>But to compile C++ requires only a single clang
command. When you add CUDA to the equation, you add
several other steps. If you use the clang front end to
compile, clang does the following:</div>
<div><br>
</div>
<div>1. compiles the driver source code<br>
</div>
<div>2. compiles the resulting PTX code using the CUDA
ptxas command<br>
</div>
<div>3. builds a "fat binary" using the CUDA fatbinary
command</div>
<div>4. compiles the host source code and links in the fat
binary</div>
<div><br>
</div>
<div>So my question is: how do we replicate that process
in memory, to generate modules that we can add to our
JIT?</div>
<div><br>
</div>
<div>I am no CUDA expert, and not much of a clang expert
either, so if anyone out there can point me in the right
direction, I would be grateful.</div>
<div><br>
</div>
<div>Geoff</div>
<div><br>
</div>
</div>
</blockquote>
</div>
</div>
<br>
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