AIBullisharXiv – CS AI · 6h ago6/10
🧠
LLM-Driven Design Space Exploration of FPGA-based Accelerators
Researchers present SECDA-DSE, an AI-driven framework that integrates Large Language Models into FPGA accelerator design to automate the complex process of hardware configuration optimization. The system combines structured design space exploration with LLM-powered reasoning and feedback loops, demonstrating practical feasibility through successful synthesis on a Zynq-7000 FPGA.