Four Simulators of the DANNA Neuromorphic Computing Architecture

A. Disney, J. Plank, Mark E. Dean
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引用次数: 4

Abstract

DANNA is a computing architecture, designed in 2014 to meld features of recurrent, spiking, plastic neuromorphic computing systems with very efficient hardware implementations. Its hardware design and FPGA implementation preceded any software support or simulation. Therefore, the development of simulators for DANNA had multiple, and sometimes conflicting goals. In this paper, we describe four separate simulators for DANNA, including their motivations and details of their implementations. We present a performance evaluation, and conclude with lessons learned. We intend this work to be useful to researchers involved in the co-design of novel hardware and software systems.
DANNA神经形态计算体系结构的四个模拟器
DANNA是一种计算架构,设计于2014年,旨在将循环,峰值,可塑性神经形态计算系统的特征与非常高效的硬件实现融合在一起。其硬件设计和FPGA实现先于任何软件支持或仿真。因此,DANNA的模拟器开发有多个目标,有时甚至是相互冲突的目标。在本文中,我们描述了四个独立的DANNA模拟器,包括它们的动机和实现细节。我们提出绩效评估,并总结经验教训。我们希望这项工作对参与新硬件和软件系统协同设计的研究人员有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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