Presentation
CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search
DescriptionRange search is the key part of the point cloud processing pipeline. CAM has proven its efficiency for search tasks on switches. In this work, we propose CAMPER, aiming to explore the potential of CAM for point cloud range search. We developed a ripple comparison 13T CAM cell for distance comparison, designed a spatial approximation search algorithm based on Chebyshev distance, and discussed the flexibility and scalability of the architecture. The results show that in the 64k@64k task, CAMPER achieves a latency of 0.83ms and a power consumption of 114.6mW, increased by 10.4x and 228x, respectively.
Event Type
Research Manuscript
TimeThursday, June 271:45pm - 2:00pm PDT
Location3003, 3rd Floor
Design
In-memory and Near-memory Computing Circuits