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Author

Dong-Bo Wang

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Preprint Aug 2026

G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs

G-Power, an architecture-level GPU power modeling framework that utilizes additional known GPU chips to provide additional knowledge and adopts a three-phase algorithm consisting of pre-training with additional known chips, attention-inspired aggregation, and fine-tuning on the target GPU.

Qi-Jun Zhang, Yao Lu, Shang Liu et al. · 0 citations
Open access Aug 2026

OSCAR: An Open-Source Flexible and Hierarchical AI Accelerator Generator with Accurate Power Model

A novel open-source framework named OSCAR is proposed, which, given a set of hardware and workload specifications, provides architecture-level power estimation and can also automatically generate Chisel and synthesizable RTL of the custom AI chip.

J. Mok, Qi-Jun Zhang, Di Pang et al. · 0 citations

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