arXiv: cs.AI preprintsInternational5 November 2026
CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
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arXiv:2611.05906v1 Announce Type: new Abstract: As sequence lengths continue to grow, distributed attention based on sequence parallel (e.g., Ring-Attention) has become a mainstream solution for large language models (LLMs). Nevertheless, inherent communication dependencies limit computation-communication overlap, reducing GPU utilization. Moreover, in cross-hardware (NUMA or node) architectures, due to imbalanced communication bandwidth, frequent communication synchronization will limit overall performance. Based on these insights, we propose CHARM+, Cross-Hardware Attention with Re-Merge Mul
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