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cs.AR2025
ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools
Andy Wanna, Hanqiu Chen, Cong Hao
Although High-Level Synthesis (HLS) has attracted considerable interest in hardware design, it has not yet become mainstream due to two primary challenges. First, current HLS hardw…
cs.AR2024
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.AR2024
ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model
Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini +7
Compute Express Link (CXL) emerges as a solution for wide gap between computational speed and data communication rates among host and multiple devices. It fosters a unified and coh…