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Preprint Aug 2026

FSGen: Agile Fused and Sparse Accelerator Generator with Accurate Power Model for LLM Applications

FSGen is proposed, an agile framework for attention-based LLM accelerator generation with an early-stage PPA estimator that supports fused operator dataflows and sparsity with a diverse design space and finds designs with 1.4x better power efficiency or 10x speedup with similar PPA metrics compared to prior work.

J. Mok, Qi-Jun Zhang, Zhi-Yao Xie · 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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