LLMs used for hierarchical CPU module power estimation

Researchers have developed BigPower, a new method for estimating power consumption in CPU modules during the design phase. This approach utilizes large language models to analyze source-level design information, including architectural hierarchy, module connectivity, and workload context. BigPower aims to provide a more efficient alternative to traditional simulation-based power estimation, as demonstrated by its successful application to the XiangShan processor family. AI

IMPACT This research could lead to more efficient CPU design by enabling faster and more granular power consumption analysis.

RANK_REASON This is a research paper detailing a new methodology for power estimation in CPUs using LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• BigPower
• Large Language Models

• paper
• infra

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