DistriHD: A Memory Efficient Distributed Binary Hyperdimensional Computing Architecture for Image Classification
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)(2022)
摘要
Hyper-Dimensional (HD) computing is a brain-inspired learning approach for efficient and fast learning on today's embedded devices. HD computing first encodes all data points to high-dimensional vectors called hypervectors and then efficiently performs the classification task using a well-defined set of operations. Although HD computing achieved reasonable performances in several practical tasks, ...
更多查看译文
关键词
Training,Performance evaluation,Costs,Computational modeling,Memory management,Distributed databases,Hardware
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要