.png){kind=icon}
返回
A system design perspective on neuromorphic computer processors
.png){kind=icon}
OA
AI
DOI：10.1088/2634-4386/ac24f5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Neuromorphic computing has become an attractive candidate for emerging computing platforms. It requires an architectural perspective, meaning the topology or hyperparameters of a neural network is key to realizing sound accuracy and performance in neural networks. However, these network architectures must be executed on some form of computer processor. For machine learning, this is often done with conventional computer processing units, graphics processor units, or some combination thereof. A neuromorphic computer processor or neuroprocessor, in the context of this paper, is a hardware system that has been designed and optimized for executing neural networks of one flavor or another. Here, we review the history of neuromorphic computing and consider various spiking neuroprocessor designs that have emerged over the years. The aim of this paper is to identify emerging trends and techniques in the design of such brain-inspired neuroprocessor computer systems.
Keyword:
design
perspective
neuromorphic
computers
processors
期刊
IF:
6.1
论文数:
340
被引数:
920
机构
引用论文
分享收藏Contributions of evacuation proctography and anorectal manometry to evaluation of adults with constipation and defecatory difficulty排空直肠造影和肛门直肠测压对成人便秘和排便困难的评估的贡献
PREAI
分享收藏Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural NetworksRRAM Crossbars的结构化修剪，用于深度神经网络的高效内存计算加速
PREAI
分享收藏RANDOMIZED TRIAL OF D-CYCLOSERINE ENHANCEMENT OF COGNITIVE-BEHAVIORAL THERAPY FOR PANIC DISORDER
OAAI
OAAI分享收藏Pattern classification by memristive crossbar circuits using ex situ and in situ training使用异位和原位训练通过忆阻交叉电路进行模式分类.png)
NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏
查看更多内容