A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System

被引：0

作者：

Ehrlich, Matthias ^{[1
]}

Wendt, Karsten ^{[1
]}

Zuehl, Lukas ^{[1
]}

Schueffny, Rene ^{[1
]}

Bruederle, Daniel ^{[2
]}

Mueller, Eric ^{[2
]}

Vogginger, Bernhard ^{[2
]}

机构：

[1] Tech Univ Dresden, Lehrstuhl Hochparallele VLSI Syst & Neuromikro, D-01062 Dresden, Germany

[2] Heidelberg Univ, Kirchhoff Inst Phys, D-69120 Heidelberg, Germany

来源：

ARTIFICIAL NEURAL NETWORKS AND INTELLIGENT INFORMATION PROCESSING | 2010年

关键词：

MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this contribution we will provide the reader with outcomes of the development of a novel software framework for an unique wafer-scale neuromorphic hardware system. The hardware system is described in an abstract manner, followed by its software framework which is in the focus of this paper. We then introduce the benchmarks applied for process evaluation and provide examples of the achieved results.

引用

页码：43 / 52

页数：10

共 19 条

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