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Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning
April 24, 2024, 4:41 a.m. | Yuchao Liao, Tosiron Adegbija, Roman Lysecky, Ravi Tandon
cs.LG updates on arXiv.org arxiv.org
Abstract: 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 process. Several HLS benchmarks and datasets are available for the research community to evaluate their methodologies. Unfortunately, these resources are limited and may not be sufficient for complex, multi-component system-level explorations. Generating new data using existing HLS benchmarks can be cumbersome, given the expertise and time required to effectively generate data for …
abstract arxiv benchmark benchmarks community cs.ai cs.ar cs.lg data datasets design exploration generative hardware machine machine learning pareto process research research community resources solutions space synthesis type
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