59 citations · 59 across the 9 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.AR2024
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation
Kaiyan Chang, Zhirong Chen, Yunhao Zhou +9
Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large la…
cs.AR2024
GTA: a new General Tensor Accelerator with Better Area Efficiency and Data Reuse
Chenyang Ai, Lechuan Zhao, Zhijie Huang +3
Recently, tensor algebra have witnessed significant applications across various domains. Each operator in tensor algebra features different computational workload and precision. Ho…
cs.AR2024★ 59 cited
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework
Kaiyan Chang, Kun Wang, Nan Yang +16
Recent advances in large language models have demonstrated their potential for automated generation of hardware description language (HDL) code from high-level prompts. Researchers…