Author

Cristian Sestito

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Preprint Aug 2026

Vision-centric generative AI models: A software-hardware perspective

It is argued that progress in vision generative AI has been driven by output quality, with hardware evolving reactively to accommodate growing model demands, making generative AI deployment sustainable and accessible across a much broader range of platforms.

Eleni Tselepi, Cristian Sestito, Shady O. Agwa et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Gen-TAS: A Generative AI-Aided Hardware-Software Task Allocation Framework for FPGA-GPP Heterogeneous Systems

Gen-TAS, a knowledge-grounded LLM framework for user-specific FPGA-GPP task allocation, is proposed by combining task-graph analysis with RAG, which grounds LLM reasoning in historical implementation knowledge and generates multiple explainable strategies tailored to the specified objectives.

Mary Kong, Yu-Qin Zhao, Semih Vazgecen et al. · 0 citations