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arXiv:2603.05904 [cs.AR]https://arxiv.org/abs/2603

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cs.AR 1

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2026 1

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UNVERDICTED 1

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LLM-Driven Design Space Exploration of FPGA-based Accelerators

cs.AR · 2026-05-07 · unverdicted · novelty 6.0

SECDA-DSE integrates LLMs using retrieval-augmented generation and chain-of-thought prompting to automate design space exploration for FPGA-based AI accelerators, demonstrated feasible by synthesizing one valid design on a Zynq-7000 FPGA.

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  • LLM-Driven Design Space Exploration of FPGA-based Accelerators cs.AR · 2026-05-07 · unverdicted · none · ref 15

    SECDA-DSE integrates LLMs using retrieval-augmented generation and chain-of-thought prompting to automate design space exploration for FPGA-based AI accelerators, demonstrated feasible by synthesizing one valid design on a Zynq-7000 FPGA.