神经形态计算的技术考虑

2016 IEEE International Conference on Rebooting Computing (ICRC) Pub Date : 2016-10-01 DOI:10.1109/ICRC.2016.7738688

D. Mountain

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引用次数: 1

摘要

神经网络的使用一直在迅速增长。各种计算架构，如cpu、gpu、fpga和模拟设计已经被提出。本文将探讨技术选择如何影响设计选择，使用适合神经网络的数字和模拟电路设计。

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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Technology considerations for neuromorphic computing

The use of neural nets has been growing rapidly. A variety of computing architectures, such as CPUs, GPUs, FPGAs, and analog designs have been proposed. This paper will explore how technology options affect design choices, using both digital and analog circuit designs suitable for neural nets.

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来源期刊

2016 IEEE International Conference on Rebooting Computing (ICRC)

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