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Optimizing LLM Inference Using Arm Scalable Matrix Extensions (SME)

Modern CPUs with matrix extensions like Arm SME offer high-throughput matrix execution but are not a universal replacement for conventional CPU cores in LLM inference. Different LLM operations such as prefill, decode, attention, and KV-cache have varying arithmetic and vectorization needs that impa...

Topic: LLM Inference Source: arXiv · arxiv.org Published 2026-06-15 07:35 UTC Fetched 2026-06-19 13:18 UTC

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Understanding the distinct computational characteristics of LLM inference stages is crucial for effectively leveraging CPU matrix extensions like SME. This insight can guide optimization strategies to improve performance and efficiency in LLM workloads.

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Score 70 Source Type arxiv Reposts 0 Topic Quality 55

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