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Copy file name to clipboardExpand all lines: README.md
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@@ -440,7 +440,13 @@ Building the program with BLAS support may lead to some performance improvements
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&& cmake --build build -- -j 16
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```
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On Linux it is also possible to use unified memory architecture (UMA) to share main memory between the CPU and integrated GPU by setting `-DLLAMA_HIP_UMA=ON"`.
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However, this hurts performance for non-integrated GPUs.
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However, this hurts performance for non-integrated GPUs (but enables working with integrated GPUs).
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- Using `make` (example for target gfx1030, build with 16 CPU threads):
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```bash
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make -j16 LLAMA_HIPBLAS=1 LLAMA_HIP_UMA=1 AMDGPU_TARGETS=gxf1030
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```
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- Using `CMake` for Windows (using x64 Native Tools Command Prompt for VS, and assuming a gfx1100-compatible AMD GPU):
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