它是并行的两种范例:神经网络和通用MIMD计算机之间的桥梁

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) Pub Date : 1999-07-10 DOI:10.1109/IJCNN.1999.833453

Y. Boniface, F. Alexandre, S. Vialle

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引用次数: 17

摘要

硬件的发展导致使用共享内存作为一种高效的并行编程方法。这里报告的工作的主要目标是加快并行神经网络实现的执行速度和减少开发时间。为了允许这样的实现，已经定义了一个库，作为神经网络和通用MIMD计算机并行性之间的桥梁。

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A bridge between two paradigms for parallelism: neural networks and general purpose MIMD computers

Hardware developments have led to the use of shared memory as an efficient parallel programming method. The main goals of the work reported here are to speed up executions and to decrease development time of parallel neural network implementations. To allow for such implementations, a library has been defined, as a bridge between neural networks and general purpose MIMD computer parallelisms.

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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

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