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.