6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.AR2024
Are LLMs Any Good for High-Level Synthesis?
Yuchao Liao, Tosiron Adegbija, Roman Lysecky
The increasing complexity and demand for faster, energy-efficient hardware designs necessitate innovative High-Level Synthesis (HLS) methodologies. This paper explores the potentia…
cs.AR2024★ 6 cited
A high-level synthesis approach for precisely-timed, energy-efficient embedded systems
Yuchao Liao, Tosiron Adegbija, Roman Lysecky
Embedded systems continue to rapidly proliferate in diverse fields, including medical devices, autonomous vehicles, and more generally, the Internet of Things (IoT). Many embedded…
cs.LG2024★ 4 cited
Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning
Yuchao Liao, Tosiron Adegbija, Roman Lysecky +1
High-Level Synthesis (HLS) Design Space Exploration (DSE) is a widely accepted approach for efficiently exploring Pareto-optimal and optimal hardware solutions during the HLS proce…