A Hardware Processing Unit for Point Sets
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Date
2008
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a hardware architecture and processing unit for point sampled data. Our design is focused on fundamental and computationally expensive operations on point sets including k-nearest neighbors search, moving least squares approximation, and others. Our architecture includes a configurable processing module allowing users to implement custom operators and to run them directly on the chip. A key component of our design is the spatial search unit based on a kd-tree performing both kNN and eN searches. It utilizes stack recursions and features a novel advanced caching mechanism allowing direct reuse of previously computed neighborhoods for spatially coherent queries. In our FPGA prototype, both modules are multi-threaded, exploit full hardware parallelism, and utilize a fixed-function data path and control logic for maximum throughput and minimum chip surface. A detailed analysis demonstrates the performance and versatility of our design.
Description
@inproceedings{:10.2312/EGGH/EGGH08/021-031,
booktitle = {Graphics Hardware},
editor = {David Luebke and John Owens},
title = {{A Hardware Processing Unit for Point Sets}},
author = {Heinzle, Simon and Guennebaud, Gaƫl and Botsch, Mario and Gross, Markus},
year = {2008},
publisher = {The Eurographics Association},
ISSN = {1727-3471},
ISBN = {978-3-905674-09-5},
DOI = {/10.2312/EGGH/EGGH08/021-031}
}