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<title>llvm-project.git/offload/test/offloading/CUDA/basic_launch.cu, branch users/makslevental/ptr-dialectpython</title>
<subtitle>Unnamed repository; edit this file 'description' to name the repository.
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<entry>
<title>[Offload] Change x86_64-pc-linux to x86_64-unknown-linux (#107023)</title>
<updated>2024-09-03T12:25:33+00:00</updated>
<author>
<name>Jan Patrick Lehr</name>
<email>JanPatrick.Lehr@amd.com</email>
</author>
<published>2024-09-03T12:25:33+00:00</published>
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<id>1a0cf245ac86c2f35c89cab47f83e9b474032e41</id>
<content type='text'>
It appears that the RUNTIMES build prefers the x86-64-unknown-linux-gnu
triple notation for the host. This fixes runtime / test breakages when
compiler-rt is used as the CLANG_DEFAULT_RTLIB.</content>
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<div xmlns='http://www.w3.org/1999/xhtml'>
<pre>
It appears that the RUNTIMES build prefers the x86-64-unknown-linux-gnu
triple notation for the host. This fixes runtime / test breakages when
compiler-rt is used as the CLANG_DEFAULT_RTLIB.</pre>
</div>
</content>
</entry>
<entry>
<title>[Offload] Add the right paths to the CUDA lit tests (#102997)</title>
<updated>2024-08-13T03:34:33+00:00</updated>
<author>
<name>Johannes Doerfert</name>
<email>johannes@jdoerfert.de</email>
</author>
<published>2024-08-13T03:34:33+00:00</published>
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<id>3f9c9aceddf5f6dc736ee39bb2088fd3ce884a08</id>
<content type='text'>
</content>
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<div xmlns='http://www.w3.org/1999/xhtml'>
<pre>
</pre>
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</content>
</entry>
<entry>
<title>[Offload][CUDA] Allow CUDA kernels to use LLVM/Offload (#94549)</title>
<updated>2024-08-13T00:44:58+00:00</updated>
<author>
<name>Johannes Doerfert</name>
<email>johannes@jdoerfert.de</email>
</author>
<published>2024-08-13T00:44:58+00:00</published>
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<id>80525dfcde5bf8aae6ab6b0810124ba502de6096</id>
<content type='text'>
Through the new `-foffload-via-llvm` flag, CUDA kernels can now be
lowered to the LLVM/Offload API. On the Clang side, this is simply done
by using the OpenMP offload toolchain and emitting calls to `llvm*`
functions to orchestrate the kernel launch rather than `cuda*`
functions. These `llvm*` functions are implemented on top of the
existing LLVM/Offload API.

As we are about to redefine the Offload API, this wil help us in the
design process as a second offload language.

We do not support any CUDA APIs yet, however, we could:
  https://www.osti.gov/servlets/purl/1892137

For proper host execution we need to resurrect/rebase
  https://tianshilei.me/wp-content/uploads/2021/12/llpp-2021.pdf
(which was designed for debugging).

```
❯❯❯ cat test.cu
extern "C" {
void *llvm_omp_target_alloc_shared(size_t Size, int DeviceNum);
void llvm_omp_target_free_shared(void *DevicePtr, int DeviceNum);
}

__global__ void square(int *A) { *A = 42; }

int main(int argc, char **argv) {
  int DevNo = 0;
  int *Ptr = reinterpret_cast&lt;int *&gt;(llvm_omp_target_alloc_shared(4, DevNo));
  *Ptr = 7;
  printf("Ptr %p, *Ptr %i\n", Ptr, *Ptr);
  square&lt;&lt;&lt;1, 1&gt;&gt;&gt;(Ptr);
  printf("Ptr %p, *Ptr %i\n", Ptr, *Ptr);
  llvm_omp_target_free_shared(Ptr, DevNo);
}

❯❯❯ clang++ test.cu -O3 -o test123 -foffload-via-llvm --offload-arch=native

❯❯❯ llvm-objdump --offloading test123

test123:        file format elf64-x86-64

OFFLOADING IMAGE [0]:
kind            elf
arch            gfx90a
triple          amdgcn-amd-amdhsa
producer        openmp

❯❯❯ LIBOMPTARGET_INFO=16 ./test123
Ptr 0x155448ac8000, *Ptr 7
Ptr 0x155448ac8000, *Ptr 42
```</content>
<content type='xhtml'>
<div xmlns='http://www.w3.org/1999/xhtml'>
<pre>
Through the new `-foffload-via-llvm` flag, CUDA kernels can now be
lowered to the LLVM/Offload API. On the Clang side, this is simply done
by using the OpenMP offload toolchain and emitting calls to `llvm*`
functions to orchestrate the kernel launch rather than `cuda*`
functions. These `llvm*` functions are implemented on top of the
existing LLVM/Offload API.

As we are about to redefine the Offload API, this wil help us in the
design process as a second offload language.

We do not support any CUDA APIs yet, however, we could:
  https://www.osti.gov/servlets/purl/1892137

For proper host execution we need to resurrect/rebase
  https://tianshilei.me/wp-content/uploads/2021/12/llpp-2021.pdf
(which was designed for debugging).

```
❯❯❯ cat test.cu
extern "C" {
void *llvm_omp_target_alloc_shared(size_t Size, int DeviceNum);
void llvm_omp_target_free_shared(void *DevicePtr, int DeviceNum);
}

__global__ void square(int *A) { *A = 42; }

int main(int argc, char **argv) {
  int DevNo = 0;
  int *Ptr = reinterpret_cast&lt;int *&gt;(llvm_omp_target_alloc_shared(4, DevNo));
  *Ptr = 7;
  printf("Ptr %p, *Ptr %i\n", Ptr, *Ptr);
  square&lt;&lt;&lt;1, 1&gt;&gt;&gt;(Ptr);
  printf("Ptr %p, *Ptr %i\n", Ptr, *Ptr);
  llvm_omp_target_free_shared(Ptr, DevNo);
}

❯❯❯ clang++ test.cu -O3 -o test123 -foffload-via-llvm --offload-arch=native

❯❯❯ llvm-objdump --offloading test123

test123:        file format elf64-x86-64

OFFLOADING IMAGE [0]:
kind            elf
arch            gfx90a
triple          amdgcn-amd-amdhsa
producer        openmp

❯❯❯ LIBOMPTARGET_INFO=16 ./test123
Ptr 0x155448ac8000, *Ptr 7
Ptr 0x155448ac8000, *Ptr 42
```</pre>
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</entry>
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