An LLM-based design space exploration system for HLS combines design-space pruning, LLM-generated seed directives, and convergent/divergent refinement to approximate Pareto-optimal designs with few synthesis evaluations.
Intelligent4DSE: Optimiz- ing high-level synthesis design space exploration with graph neural networks and large language models
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iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs
An LLM-based design space exploration system for HLS combines design-space pruning, LLM-generated seed directives, and convergent/divergent refinement to approximate Pareto-optimal designs with few synthesis evaluations.