Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 10·5 min read
HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation
TL;DR
HLSmith is a novel framework that translates C/C++ programs into optimized high-level synthesis (HLS) designs, achieving a 4.24x speedup over existing methods. It combines expert-guided optimization techniques with advanced orchestration to ensure functional correctness and efficiency in FPGA accelerator development.
✦ Why It Matters
Consider adopting HLSmith for your next FPGA accelerator project to enhance performance and reduce development time.
Key Takeaways
- Utilize HLSmith for efficient FPGA accelerator development.
- Leverage the HLS optimization expertise library for better design outcomes.
- Implement feedback-driven orchestration to streamline the synthesis process.
- Explore speedup potential with both commercial and open-weight models.
How It Works
HLSmith integrates an HLS optimization expertise library that contains transformation recipes, detailing when and how to apply them. It employs a staged orchestration flow that mimics expert practices, guiding users through synthesis, bottleneck analysis, and optimization.
This structured approach ensures that the translation from C/C++ to HLS is not only efficient but also adheres to best practices in hardware design.