Efficient Stream Compaction on Wide SIMD Many-Core Architectures
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Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several processing steps and reduces overall memory usage. For wide SIMD many-core architectures, we present a novel stream compaction algorithm and explore several variations thereof. Our algorithm is designed to maximize concurrent execution, with minimal use of synchronization. Bandwidth and auxiliary storage requirements are reduced significantly, which allows for substantially better performance. We have tested our algorithms using CUDA on a PC with an NVIDIA GeForce GTX280 GPU. On this hardware, our reference implementation provides a 3× speedup over previous published algorithms.
Description
@inproceedings{:10.1145/1572769.1572795,
booktitle = {High-Performance Graphics},
editor = {David Luebke and Philipp Slusallek},
title = {{Efficient Stream Compaction on Wide SIMD Many-Core Architectures}},
author = {Billeter, Markus and Olsson, Ola and Assarsson, Ulf},
year = {2009},
publisher = {The Eurographics Association},
ISSN = {2079-8687},
ISBN = {978-1-60558-603-8},
DOI = {/10.1145/1572769.1572795}
}