EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture

EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture

While vision transformers (ViTs) have shown consistent progress in computer vision, deploying them for real-time decision-making scenarios (

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on computer-aided design of integrated circuits and systems 2024-11, Vol.43 (11), p.3949-3960
Hauptverfasser: Dong, Peiyan, Zhuang, Jinming, Yang, Zhuoping, Ji, Shixin, Li, Yanyu, Xu, Dongkuan, Huang, Heng, Hu, Jingtong, Jones, Alex K., Shi, Yiyu, Wang, Yanzhi, Zhou, Peipei
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Computational modeling
Computer vision
Design for space exploration
embedded systems
Field programmable gate arrays
FPGA
Hardware
hardware/software co-design
high-level synthesis
modeling
performance optimization
Real-time systems
reconfigurable logic
Space exploration
System-on-chip
Training
Transformers
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Beschreibung
Zusammenfassung:While vision transformers (ViTs) have shown consistent progress in computer vision, deploying them for real-time decision-making scenarios (
ISSN:0278-0070
1937-4151
DOI:10.1109/TCAD.2024.3443692