The Echo State Network on the Graphics Processing Unit

Keith, Tūreiti; Weddell, Stephen J.

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The Echo State Network on the Graphics Processing Unit

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Keith, Tūreiti
Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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引用

Keith, T., & Weddell, S. J. (n.d.). The Echo State Network on the Graphics Processing Unit. Artificial Intelligence and SOFT Computing, 7894, 96-107.

引用: https://hdl.handle.net/11858/00-001M-0000-0029-17F1-8

要旨

Extending on previous work, the Echo State Network (ESN) and Tikhonov Regularisation (TR) training algorithms were implemented for both the CPU, an Intel i7-980; and the GPU, an Nvidia GTX480. The implementation used all 4 cores of the CPU, and all 480 cores of the GPU. The execution times of these implementations were measured and compared. In the ESN case, speed-ups were observed at reservoir sizes greater than 1,024. The first significant speed-ups of 6 and and 5 were observed at a reservoir size of 2,048 in double and single precision respectively. In the case of Tikhonov Regularisation, no significant speed-ups were observed.