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[CIR][CUDA] Generate device stubs #1332

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merged 1 commit into from
Feb 12, 2025
Merged

[CIR][CUDA] Generate device stubs #1332

merged 1 commit into from
Feb 12, 2025

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Now we're able to generate device stubs.

A simple explanation:

We first store function arguments inside a void* args[], which shall be passed into cudaLaunchKernel.

Then we retrieve configuration using __cudaPopCallConfiguration, popping the config pushed by callsite. (We can't generate calls to kernels currently.)

Now we have enough arguments. Invoke cudaLaunchKernel and we're OK.

// Now emit the call to cudaLaunchKernel
// cudaError_t cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim,
// void **args, size_t sharedMem,
// cudaStream_t stream);
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Seems like we could have a ... = cir.cuda.setup_device_stub <name>, args, dim3_ty = <some_type>, stream_ty = <some_type2> ... that will hide both __cudaPopCallConfiguration and cudaLaunchKernel calls. This will then be expanded in LoweringPrepare to these calls (so we don't have to postpone this to LLVMLowering).

However, I'd rather see you adding this as-is first (after the other comment about OG is addressed) and in a follow up PR we can raise the representation and move it to LoweringPrepare.

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Similar things also happen at call site. Shall we also generate a cir.cuda.call_kernel for that and expand in LoweringPrepare?

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which callsite do you mean? not the call happening in the device stub? if not in the device host, does it not call __cudaPopCallConfiguration to retrieve the dims? Perhaps we should have a bit more of direct CIRGen to have a better grasp of uses of these internal functions before we raise them.

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I mean the place where we invoke the kernel, for example in main we can write global_fn<<<1, 1>>>(a, b, c). This is the place where we call __cudaPushCallConfiguration for device stub to pop. I guess I'll directly generate them and adjust according to review.

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github-actions bot commented Feb 11, 2025

✅ With the latest revision this PR passed the C/C++ code formatter.

@bcardosolopes bcardosolopes merged commit e342308 into llvm:main Feb 12, 2025
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bcardosolopes pushed a commit that referenced this pull request Mar 11, 2025
This PR deals with several issues currently present in CUDA CodeGen.
Each of them requires only a few lines to fix, so they're combined in a
single PR.

**Bug 1.**

Suppose we write
```cpp
__global__ void kernel(int a, int b);
```

Then when we call this kernel with `cudaLaunchKernel`, the 4th argument
to that function is something of the form `void *kernel_args[2] = {&a,
&b}`. OG allocates the space of it with `alloca ptr, i32 2`, but that
doesn't seem to be feasible in CIR, so we allocated `alloca [2 x ptr],
i32 1`. This means there must be an extra GEP as compared to OG.

In CIR, it means we must add an `array_to_ptrdecay` cast before trying
to accessing the array elements. I missed that out in #1332 .

**Bug 2.**

We missed a load instruction for 6th argument to `cudaLaunchKernel`.
It's added back in this PR.

**Bug 3.** 

When we launch a kernel, we first retrieve the return value of
`__cudaPopCallConfiguration`. If it's zero, then the call succeeds and
we should proceed to call the device stub. In #1348 we did exactly the
opposite, calling the device stub only if it's not zero. It's fixed
here.

**Issue 4.**

CallConvLowering is required to make `cudaLaunchKernel` correct. The
codepath is unblocked by adding a `getIndirectResult` at the same place
as OG does -- the function is already implemented so we can just call
it.


After this (and other pending PRs), CIR is now able to compile real CUDA
programs. There are still missing features, which will be followed up
later.
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3 participants