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llama.cpp b11422 optimizes CUDA/ROCm with new MUSA indexer kernel

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b11422, which includes optimizations for CUDA and ROCm architectures. Specifically, the update introduces a new vector lightning indexer kernel for MUSA, addressing shared memory limitations on certain MUSA architectures. This change ensures that MUSA architectures 21 and 22, which have a 28 KB static shared memory cap, can efficiently handle the indexer queries by staging them in smaller passes. AI

IMPACT Performance improvements for AI inference on specific hardware configurations.

RANK_REASON This is a software update for an open-source project that optimizes performance for specific hardware, rather than a novel release or significant industry event.

Read on llama.cpp — Releases →

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

llama.cpp b11422 optimizes CUDA/ROCm with new MUSA indexer kernel

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This is a software update for an open-source project that optimizes performance for specific hardware, rather than a novel release or significant industry event.
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COVERAGE [1]

  1. llama.cpp — Releases TIER_1 English(EN) · ServeurpersoCom ·

    b11422: cuda: use the vector lightning indexer kernel on MUSA (#29990)

    <ul> <li>cuda: stage the lightning indexer queries in head passes for MUSA</li> </ul> <p>MUSA archs 21 and 22 cap static shared memory at 28 KB, and the tile<br /> kernel staged the queries of all four heads next to the key tile for<br /> 33 KB. The queries are now staged in pass…

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