带有gpu设备的主动PNN方法的并行实现

2013 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2013-03-28 DOI:10.1109/ICCE.2013.6487002

A. Wakatani, A. Murakami

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引用次数: 0

摘要

我们在gpu上使用CUDA生成VQ压缩码本，实现了侵略性PNN方法，与CPU上的tau PNN方法相比，加速高达4.01。我们的第二种方法通过使用间接向量来减少空闲线程来增强并行性。我们还通过使用间接向量将算法改进了约20%。

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Parallel implementation of Aggressive PNN method for devices with GPUs

We implement the Aggressive PNN method on GPUs by using CUDA to generate codebooks for VQ compression and the speedup of up to 4.01 is achieved compared with the tau PNN method on the CPU. Our second method enhances the parallelism by using indirect vectors to reduce idle threads. We also improved the algorithm by about 20% by using indirect vectors.

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来源期刊

2013 IEEE International Conference on Consumer Electronics (ICCE)

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