SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs

cs.AR, cs.LG

Submitted: 2026-09-09

Updated: 2026-09-09

Comments: Accepted and to be presented at the International Conference on Field Programmable Technology (FPT) 2026

Code: https://github.com/sharc-lab/synthetic-hls

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
• Fast inference of deep neural networks in FPGAs for particle physics
• Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors
• LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning

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