github llama.cpp · 6h ago · inference

llama.cpp b10714 tunes Vulkan mat-vec rows for Strix Halo

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The llama.cpp project released build b10714, which includes specific optimizations for the Vulkan backend targeting AMD Strix Halo hardware. The update adjusts matrix-vector multiplication row counts to improve performance during batched inference.

Vulkan: Sets static 4 rows for mat-vec operations on RDNA3 architectures with more than four columns, as this configuration benches faster than the default.
Vulkan: Applies a static 4-row setting for mul_mat_vec_id on Strix Halo machines, proving faster across various types and batch sizes compared to defaults.

These changes provide tangible performance gains for users running llama.cpp on RDNA3-based GPUs like Strix Halo.

Importance 1/3 Trust 1/3 llama.cpp Inference efficiency Local inference

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