TY - GEN
T1 - A 44.3mW 62.4fps Hyperspectral Image Processor for MAV Remote Sensing
AU - Lo, Yu Chen
AU - Wu, Yi Chung
AU - Yang, Chia Hsiang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This work presents the first dedicated processor that supports the entire hyperspectral image (HSI) processing work-flow. Folding and data interleaving are applied to the processing elements (PEs), reducing the area by 57%. The reconfigurable PE datapath enables 92.7% utilization with 38.1% less area. Data sparsity is leveraged for clock gating, saving 32.2% power. The chip dissipates 44.3mW at 175MHz from a 0.68V supply. It delivers a 62.4fps throughput for 256×256×64 HSIs. Compared to a high-end CPU, this work achieves a 544× higher throughput and 82,352× higher energy efficiency.
AB - This work presents the first dedicated processor that supports the entire hyperspectral image (HSI) processing work-flow. Folding and data interleaving are applied to the processing elements (PEs), reducing the area by 57%. The reconfigurable PE datapath enables 92.7% utilization with 38.1% less area. Data sparsity is leveraged for clock gating, saving 32.2% power. The chip dissipates 44.3mW at 175MHz from a 0.68V supply. It delivers a 62.4fps throughput for 256×256×64 HSIs. Compared to a high-end CPU, this work achieves a 544× higher throughput and 82,352× higher energy efficiency.
UR - http://www.scopus.com/inward/record.url?scp=85135236224&partnerID=8YFLogxK
U2 - 10.1109/VLSITechnologyandCir46769.2022.9830370
DO - 10.1109/VLSITechnologyandCir46769.2022.9830370
M3 - Conference contribution
AN - SCOPUS:85135236224
T3 - Digest of Technical Papers - Symposium on VLSI Technology
SP - 74
EP - 75
BT - 2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022
Y2 - 12 June 2022 through 17 June 2022
ER -