Pisces: power-aware implementation of slam by customizing efficient sparse algebra

Published in 2020 57th ACM/IEEE Design Automation Conference (DAC), 2020

Citation: Bahar Asgari, Ramyad Hadidi, Nima Shoghi, Hyesoon Kim, 2020 57th ACM/IEEE Design Automation Conference (DAC), 2020. https://doi.org/10.1109/DAC18072.2020.9218550

Introduces Pisces, a power-efficient implementation of SLAM that exploits data sparsity to reduce power consumption by 2.5× and increase processing speed by 7.4× for autonomous systems.

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