"Mnemosyne: Parallelization Strategies for Efficiently Serving ..."

Amey Agrawal et al. (2024)

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DOI: 10.48550/ARXIV.2409.17264

access: open

type: Informal or Other Publication

metadata version: 2024-10-17

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  - https://dblp.org/rec/journals/corr/abs-2409-17264
Amey Agrawal, Junda Chen, Íñigo Goiri, Ramachandran Ramjee, Chaojie Zhang, Alexey Tumanov, Esha Choukse:
Mnemosyne: Parallelization Strategies for Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations. CoRR abs/2409.17264 (2024)

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