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llama.cpp optimizes Metal performance for argmax and pool_1d operations

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b11766, which includes optimizations for Metal, specifically targeting argmax and pool_1d operations. These enhancements aim to improve performance by implementing two-pass partial reductions for large-row argmax and utilizing cooperative threadgroup reductions for pool_1d. The release also adds performance test cases for pool_1d operations, particularly for MoE down-projection amax shapes. AI

IMPACT Performance improvements in llama.cpp could lead to faster local inference for compatible models on Apple hardware.

RANK_REASON This is a software update for a specific tool, llama.cpp, focusing on performance optimizations for certain operations on Apple hardware.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp optimizes Metal performance for argmax and pool_1d operations

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This is a software update for a specific tool, llama.cpp, focusing on performance optimizations for certain operations on Apple hardware.
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  1. llama.cpp — Releases TIER_1 English(EN) · ggerganov ·

    b11766: metal : optimize argmax and pool_1d (#30862)

    <ul> <li>metal : optimize argmax and pool_1d</li> </ul> <p>Add a two-pass partial reduction for large-row argmax and use cooperative threadgroup reductions for pool_1d. Allocate scratch space for the argmax partials through the Metal buffer allocator.</p> <p>Assisted-by: pi:llama…

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