4 papers
SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs
Stefan Abi-Karam, Miaoyan Zhou, Callie Hao
Deep learning and large language models (LLMs) are rapidly gaining adoption in semiconductor design, driving demand for training datasets. Most efforts focus on hardware descriptio…
Benchmarking Agentic HLS Design Tasks With HLS-Eval
Stefan Abi-Karam, Callie Hao
Large language models (LLMs) and AI agents are increasingly explored for hardware design, including high-level digital design. While most work targets code generation and editing f…
HLSFactory-Agent: Large-Scale Agentic HLS Dataset Construction from Academic and Open-Source Projects
Kaushik Chandana, Jay Imperatori, Tanmay Shukla +3
Building large, diverse datasets of high-level synthesis (HLS) designs beyond common community benchmarks remains an open challenge. This challenge is made urgent by the rise of de…
FIFOAdvisor: A DSE Framework for Automated FIFO Sizing of High-Level Synthesis Designs
Stefan Abi-Karam, Rishov Sarkar, Suhail Basalama +2
Dataflow hardware designs enable efficient FPGA implementations via high-level synthesis (HLS), but correctly sizing first-in-first-out (FIFO) channel buffers remains challenging.…