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llama.cpp b11989 enables sparse attention on CDNA hardware

The llama.cpp project has released version b11989, which includes enhancements for sparse attention capabilities on CDNA hardware. This update also addresses synchronization issues on older ROCm versions and optimizes the handling of large head fattn mma variants. AI

IMPACT Improves performance for AI workloads on specific hardware.

RANK_REASON This is a software release for a specific tool, not a frontier model release, significant industry event, or research paper.

Read on llama.cpp — Releases →

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llama.cpp b11989 enables sparse attention on CDNA hardware

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COVERAGE [1]

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

    b11989: HIP/CUDA: enable sparse attn on CDNA (#31259)

    <ul> <li> <p>HIP/CUDA: enable sparse attn on CDNA</p> </li> <li> <p>Use __ballot for __ballot_sync on old ROCm versions</p> </li> <li> <p>Ignore new large head fattn mma variant</p> </li> </ul>