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New framework HLSmith streamlines FPGA accelerator creation using expert-guided LLMs

Researchers have developed HLSmith, a novel framework designed to assist in the creation of specialized FPGA accelerators from C/C++ code. This system leverages an expertise library encoding hardware optimization techniques and a staged orchestration flow that mimics expert development practices. HLSmith aims to overcome the limitations of current LLMs in hardware design by providing guided translation and optimization, significantly improving the success rate and performance of generated accelerators compared to previous methods. AI

IMPACT This framework could significantly reduce the time and expertise required to develop custom FPGA accelerators, potentially accelerating hardware innovation.

RANK_REASON The cluster contains an academic paper detailing a new framework for hardware acceleration. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New framework HLSmith streamlines FPGA accelerator creation using expert-guided LLMs

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuebo Luo, Ahmad Sedigh Baroughi, Philip Stachura, Le Chen, Venkatram Vishwanath, Zhenman Fang, Caiwen Ding ·

    HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation

    arXiv:2608.06791v1 Announce Type: cross Abstract: Application-specific FPGA accelerators offer substantial performance and energy-efficiency gains across many application domains, but developing them is costly, often requiring months of specialized effort. Even with high-level sy…