Researchers have developed HLSmith, a framework designed to improve the translation of C/C++ code into high-performance hardware accelerators using High-Level Synthesis (HLS). The system incorporates an expertise library encoding hardware optimization techniques, a guided orchestration flow mimicking expert practices, and a pipeline for adapting frontier models. HLSmith significantly outperforms previous agent-orchestration frameworks like ChatHLS, achieving a 4.24x geometric mean speedup and a 100% valid-design rate across benchmarks, compared to ChatHLS's 57% rate. AI
IMPACT This framework could significantly reduce the time and expertise required to develop custom hardware accelerators, potentially accelerating the adoption of FPGAs for specialized AI tasks.
RANK_REASON The cluster describes a new research paper detailing a novel framework for code translation.
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- arXiv
- C Cpp Programming Languages
- ChatHLS
- field-programmable gate array
- HLSmith
- PolyBench
- High-Level Synthesis
- Hugging Face
- RTL
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