Paper
15 August 2023 An utilization-efficient context memory design for reconfigurable processing array with locally shared strategy
Yi Du, Jiangyuan Gu, Ming Zhong, Boxiao Han, Hongjun He, Yang Hu, Leibo Liu, Shaojun Wei, Shouyi Yin
Author Affiliations +
Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 1271945 (2023) https://doi.org/10.1117/12.2685647
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
In recent years, reconfigurable architectures have gained popularity as they have advantages on the design of energyefficient accelerators. Facing many application scenarios, existing reconfigurable processing arrays need access context information from distributed or centralized context memory which was exposed to low storage efficient. In this paper, we propose a locally shared context memory architecture of a reconfigurable processing array to improve storage efficiency and greatly reduce the context data movement. This design can reduce the area of the reconfigurable array by 12.4%, and the power consumption of the reconfigurable array by 40%.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Du, Jiangyuan Gu, Ming Zhong, Boxiao Han, Hongjun He, Yang Hu, Leibo Liu, Shaojun Wei, and Shouyi Yin "An utilization-efficient context memory design for reconfigurable processing array with locally shared strategy", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 1271945 (15 August 2023); https://doi.org/10.1117/12.2685647
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KEYWORDS
Array processing

Design and modelling

Power consumption

Data storage

Moores law

Reconfigurable computing

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