一般来说,全连接层的前向和后向传递所需的计算量与权重的数量成正比.此外,数据并行训练中所需的带宽与可训练权重的数量成比例.因此,随着每个节点计算速度的提高,所需的网络带宽也随之增加.这篇文章主要是根据阈值进行梯度的稀疏化和量化操作,从而降低分布式训练中的通信开销.稀疏化指的是只传输那些比较重要的梯度(例如绝对值较大的梯度),而量化则是使用较少的比特来表示原始梯度,二者的差别由下图描述[1]: 本文提出的梯度压缩方法基于以下两个观点:(1)很多加速SGD的方法,包括minibatch SGD.动量…

https://dgraph.io/ Meet Dgraph — an open source, scalable, distributed, highly available and fast graph database, designed from ground up to be run in production.…

原文地址:https://dzone.com/articles/scalable-distributed-systems-using-akka-spring-boot-ddd-and-java When data that needs to be processed grows large and can’t be contained within a single JVM, AKKA clusters provides features to build such highly scalabl…

论文原址:https://pdfs.semanticscholar.org/eeb7/c037e6685923c76cafc0a14c5e4b00bcf475.pdf 摘要 本文研究了利用深度神经网络及逆行自动语音识别(ASR)的语音模型,其输入是直接输入窗口形语音波(WSW).本文首先证明了,网络要实现自动化需要具有于梅尔频谱相类似的特征,(梅尔频谱是啥?参考,https://blog.csdn.net/qq_28006327/article/details/59129110),本文研究了挖掘…

HOME ABOUT CONTACT SUBSCRIBE VIA RSS   DEEP LEARNING FOR ENTERPRISE Distributed Deep Learning, Part 1: An Introduction to Distributed Training of Neural Networks Oct 3, 2016 3:00:00 AM / by Alex Black and Vyacheslav Kokorin Tweet inShare27   This pos…

from: https://jyx.jyu.fi/bitstream/handle/123456789/52275/1/URN%3ANBN%3Afi%3Ajyu-201612125051.pdf 相关文献汇总如下: S1 Eliseev and Gurina (2016) Algorithms for network server anomaly behavior detection without traffic content inspection ACM 1 S2 Zolotukhin e…

CCI,Commodity Channel Index 商品通道指标 Channel Index,商品通道指标.(2015.7.1)" title="77-CCI,Commodity Channel Index,商品通道指标.(2015.7.1)"> Channel Index,商品通道指标.(2015.7.1)" title="77-CCI,Commodity Channel Index,商品通道指标.(2015.7.1)"> 观井…

这个资料关于分布式系统资料,作者写的太好了.拿过来以备用 网址:https://github.com/ty4z2008/Qix/blob/master/ds.md 希望转载的朋友,你可以不用联系我．但是一定要保留原文链接,因为这个项目还在继续也在不定期更新．希望看到文章的朋友能够学到更多． <Reconfigurable Distributed Storage for Dynamic Networks> 介绍:这是一篇介绍在动态网络里面实现分布式系统重构的paper.论文的作者(导师)是MIT…

FireCaffe Forrest N. Iandola FireCaffe: near-linear acceleration of deep neural network training on computer clusters 2016.1 Problem statements from data scientists 4 key pain points summarized by Jeff Dean from Google: 1. DNN researchers and users w…

ABSTRACT Recent technological advancement have led to a deluge of data from distinctive domains (e.g., health care and scientific sensors, user-generated data, Internet and financial companies, and supply chain systems) over the past two decades. The…