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cs.AR2024★ 1 cited
Optimized Spatial Architecture Mapping Flow for Transformer Accelerators
Haocheng Xu, Faraz Tahmasebi, Ye Qiao +3
Recent innovations in Transformer-based large language models have significantly advanced the field of general-purpose neural language understanding and generation. With billions o…
cs.AR2024
Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models
Haocheng Xu, Haotian Hu, Sitao Huang
High-level synthesis (HLS) allows hardware designers to create hardware designs with high-level programming languages like C/C++/OpenCL, which greatly improves hardware design prod…