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Efficient Stream Compaction on Wide SIMD Many-Core Architectures
| Citations: | 14 - 1 self |
BibTeX
@MISC{Billeter_efficientstream,
author = {Markus Billeter and Ola Olsson and Ulf Assarsson},
title = {Efficient Stream Compaction on Wide SIMD Many-Core Architectures},
year = {}
}
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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.
Keyphrases
wide simd many-core architecture efficient stream compaction stream compaction sparse data novel stream compaction algorithm nvidia geforce gtx280 gpu concurrent execution several variation minimal use parallel algorithm unwanted element common parallel primitive reference implementation reduces overall memory usage auxiliary storage requirement
