BeuriPipe-Chip : A Digital Neuro-Processor for Spiking Neural Networks  

Oleh:

Schoenauer, T. ; Mehrtash, N. ; Atasoy, S. ; Klar, H.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 1 (2002), page 205-213.
Topik: NEURAL NETWORKS; beuripipe - chip; digital neuro - processor; neural networks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Computing complex spiking artificial neural networks (SANN s) on conventional hardware platforms is far from reaching real - time requirements. Therefore we propose a neuro - processor, called NeuroPipe - Chip, as part of an accelerator board. In this paper, we introduce two new concepts on chip - level to speed up the computation of SANNs. These concepts are implemented in a prototype of the NeuroPipe - Chip. We present the hardware structure of the prototype and evaluate its performance in a system simulation based on a hardware description language (HDL). For the computation of a simple SANN for image segmentation, the NeuroPipe - Chi*p operating at 100 MHz shows an improvement of more than two orders of magnitude compared to an Alpha 500 MHz workstation and approaches real - time requirements for the computation of SANN s in the order of 106 neurons. Hence, such an accelerator would allow for applications of complex SANN s to solve real - world tasks like real - time image processing. The NeuroPipe - Chip has been fabricated in an Alcatel 0.35 - µm digital CMOS technology.

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