Real-time Hyper-Dimensional Reconfiguration at the Edge Using Hardware Accelerators

Indhumathi Kandaswamy,Saurabh Farkya,Zachary Daniels,Gooitzen van der Wal,Aswin Raghavan, Yuzheng Zhang, Jun Hu,Michael Lomnitz,Michael Isnardi,David Zhang,Michael Piacentino

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)（2022）

Cited 4|Views69

Key words

time Hyper-Dimensional reconfiguration,Hyper-Dimensional Reconfigurable Analytics,Tactical Edge,low-SWaP embedded hardware,real-time reconfiguration,edge leveraging nonMAC,floating-point Multiply-ACcumulate operations,deep neural nets,hyperdimensional computing accelerators,model generation,feature extractor,multiply-accumulates,hyperdimensional logic-based classifier,low-SWaP FPGA hardware,embedded software system,implemented hardware accelerators,measured system,learnable quantization,HD computing,actual versus simulated system performance,video activity classification task,reconfigurability,feed-forward HD classifier,gradient-free

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