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base repository: intel/llvm
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base: sycl
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head repository: lrpablo/llvm
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compare: sycl
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  • 2 commits
  • 1 file changed
  • 1 contributor

Commits on Sep 8, 2024

  1. Added instructions for ARM processors

    @lrpablo
    lrpablo committed Sep 8, 2024
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    9eff876 View commit details

Commits on Sep 10, 2024

  1. Add disclaimer regarding ARM support

    @lrpablo
    lrpablo committed Sep 10, 2024
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    8e4c2b7 View commit details
Showing with 13 additions and 0 deletions.
  1. +13 −0 sycl/doc/GetStartedGuide.md
13 changes: 13 additions & 0 deletions sycl/doc/GetStartedGuide.md
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Original file line number Diff line number Diff line change
@@ -12,6 +12,7 @@ and a wide range of compute accelerators such as GPU and FPGA.
* [Build DPC++ toolchain with support for NVIDIA CUDA](#build-dpc-toolchain-with-support-for-nvidia-cuda)
* [Build DPC++ toolchain with support for HIP AMD](#build-dpc-toolchain-with-support-for-hip-amd)
* [Build DPC++ toolchain with support for HIP NVIDIA](#build-dpc-toolchain-with-support-for-hip-nvidia)
* [Build DPC++ toolchain with support for ARM processors](#build-dpc-toolchain-with-support-for-arm-processors)
* [Build DPC++ toolchain with support for runtime kernel fusion and JIT compilation](#build-dpc-toolchain-with-support-for-runtime-kernel-fusion-and-jit-compilation)
* [Build DPC++ toolchain with a custom Unified Runtime](#build-dpc-toolchain-with-a-custom-unified-runtime)
* [Build Doxygen documentation](#build-doxygen-documentation)
@@ -303,6 +304,18 @@ as well as the CUDA Runtime API to be installed, see
Currently, this has only been tried on Linux, with ROCm 4.2.0 or 4.3.0, with
CUDA 11, and using a GeForce 1060 device.

### Build DPC++ toolchain with support for ARM processors

There is no continuous integration for this, and there are no guarantees for supported platforms or configurations.

To enable support for ARM processors, follow the instructions for the linux
toolchain, but add the `--host-target "AArch64;ARM;X86"` flag to `configure.py`.

For CUDA support also add the `--cuda` flag.

Currently, this has only been tried on Linux, with CUDA 12.3, and using a
Grace Hopper platform with a ARM64 processor and an H100 GPU.

### Build DPC++ toolchain with support for runtime kernel fusion and JIT compilation

Support for the experimental SYCL extension for user-driven kernel fusion at