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@@ -532,7 +532,7 @@ Building the program with BLAS support may lead to some performance improvements
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cmake -B build -DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS=gfx1030 -DCMAKE_BUILD_TYPE=Release \
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&& cmake --build build --config Release -- -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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+ 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 (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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