6 citations · 17 across the 14 of their papers we have counts for
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cs.LG2024★ 1 cited
Pie: Pooling CPU Memory for LLM Inference
Yi Xu, Ziming Mao, Xiangxi Mo +2
The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solut…
cs.LG2024★ 6 cited
Optimizing LLM Queries in Relational Data Analytics Workloads
Shu Liu, Asim Biswal, Amog Kamsetty +8
Batch data analytics is a growing application for Large Language Models (LLMs). LLMs enable users to perform a wide range of natural language tasks, such as classification, entity…