Are LLMs Any Good for High-Level Synthesis?

Y Liao, T Adegbija, R Lysecky - arxiv preprint arxiv:2408.10428, 2024 - arxiv.org
The increasing complexity and demand for faster, energy-efficient hardware designs
necessitate innovative High-Level Synthesis (HLS) methodologies. This paper explores the …

C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap

L Collini, S Garg, R Karri - arxiv preprint arxiv:2412.00214, 2024 - arxiv.org
High-Level Synthesis (HLS) tools offer rapid hardware design from C code, but their
compatibility is limited by code constructs. This paper investigates Large Language Models …

MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Y Zhao, H Zhang, H Huang, Z Yu, J Zhao - arxiv preprint arxiv:2412.07822, 2024 - arxiv.org
The automatic generation of RTL code (eg, Verilog) through natural language instructions
has emerged as a promising direction with the advancement of large language models …