6 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.AR2024★ 6 cited
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler +7
Machine learning (ML) techniques have been applied to high-level synthesis (HLS) flows for quality-of-result (QoR) prediction and design space exploration (DSE). Nevertheless, the…
cs.AR2023★ 2 cited
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis
Zhigang Wei, Aman Arora, Ruihao Li +1
Machine Learning (ML) has been widely adopted in design exploration using high level synthesis (HLS) to give a better and faster performance, and resource and power estimation at v…