SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM Serving
arXiv:2609.37626v1 Announce Type: cross Abstract: No single way of parallelizing attention serves large language models well under all loads. Low concurrency favors tensor parallelism, many independent requests favor data-parallel attention, and…
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Published1 h ago (Wed, 30 Sep 2026 04:00:00 GMT)
RetrievedWed, 30 Sep 2026 04:00:56 GMT via rss
ClassifiedWed, 30 Sep 2026 04:01:19 GMT by heuristic
AuthorChuan Liu, Shuoming Zhang, Zhicheng Li, Qianqi Sun, Ruiyuan Xu, Qiuchu Yu, Xiyu Shi, Huimin Cui, Jiacheng Zhao