SPERT-II:一种矢量微处理器系统及其在反向传播训练大问题中的应用

Proceedings of Fifth International Conference on Microelectronics for Neural Networks Pub Date : 1995-11-27 DOI:10.1109/MNNFS.1996.493795

J. Wawrzynek, K. Asanović, Brian Kingsbury, J. Beck, David Johnson, N. Morgan

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引用次数: 15

摘要

我们报告了一种用于神经网络和其他信号处理应用的高性能系统的开发。我们设计并实现了一个矢量微处理器，并将其封装为传统工作站的附加处理器。我们比较了工作站在神经网络反向传播训练上的性能。SPERT-II系统的性能大约是中档工作站的15倍，是高端工作站的5倍，并对两种工作站版本进行了广泛的手动优化。

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SPERT-II: a vector microprocessor system and its application to large problems in backpropagation training

We report on the development of a high-performance system for neural network and other signal processing applications. We have designed and implemented a vector microprocessor and packaged it as an attached processor for a conventional workstation. We present performance comparisons with workstations on neural network backpropagation training. The SPERT-II system demonstrates roughly 15 times the performance of a mid-range workstation and five times the performance of a high-end workstation with extensive hand-optimization of both workstation versions.

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Proceedings of Fifth International Conference on Microelectronics for Neural Networks

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