Search Results - Advances in Parallel and Distributed Computing for Neural Computing

Editorial introduction: special issue on advances in parallel and distributed computing for neural computing by Chen, Jianguo, Salah, Ahmad

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QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment by Tong, Zhao, Deng, Xiaomei, Chen, Hongjian, Mei, Jing, Liu, Hong

“…Cloud computing is a computing model that fully utilizes the resources on the Internet to maximize the utilization of resources…”
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Parallel multi-view concept clustering in distributed computing by Wang, Hao, Yang, Yan, Zhang, Xiaobo, Peng, Bo

“… To address this problem, we propose a parallel MvC method in a distributed computing environment…”
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A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints by Hu, Yikun, Li, Jinghong, He, Ligang

“… In this paper, we study the task scheduling problem to minimize the schedule length of parallel applications while satisfying the energy constraints in heterogeneous distributed systems…”
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Multi-task cascade deep convolutional neural networks for large-scale commodity recognition by Zou, Xiaofeng, Zhou, Liqian, Li, Kenli, Ouyang, Aijia, Chen, Cen

“…In recent years, deep convolutional neural network have achieved remarkable performance in object detection and image classification…”
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Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate by Cheng, Keyang, Tao, Fei, Zhan, Yongzhao, Li, Maozhen, Li, Kenli

“…Convolutional neural networks (CNNs) have obtained high accuracy results for pedestrian re-identification in the past few years…”
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Fingerprint pattern identification and classification approach based on convolutional neural networks by Wu, Fan, Zhu, Juelin, Guo, Xiaomeng

“… Based on this idea, a six-category fingerprint database is annotated manually and a convolutional neural network (CNN…”
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Research on an olfactory neural system model and its applications based on deep learning by Zhang, Jin, Tian, Tiantian, Wang, Shengchun, Liu, Xiaofei, Shu, Xuanyu, Wang, Ying

“…The idea of constructing the biological neural system model as realistic as possible can not only provide a new artificial neural network (ANN…”
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Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization by Liu, Ao, Li, Peng, Sun, Weiliang, Deng, Xudong, Li, Weigang, Zhao, Yuntao, Liu, Bo

“…Searching optimal parameters for neural networks can be formulated as a multi-modal optimization problem…”
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Multifractal detrended fluctuation analysis parallel optimization strategy based on openMP for image processing by Tang, Xiaoyong, Yang, Xiaopan, Wu, Fan

“… s . Lastly, we propose a parallel optimization scheme based on OpenMP…”
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An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs by Kitrungrotsakul, Titinunt, Han, Xian-Hua, Iwamoto, Yutaro, Takemoto, Satoko, Yokota, Hideo, Ipponjima, Sari, Nemoto, Tomomi, Xiong, Wei, Chen, Yen-Wei

“… With those problems, we propose a 2.5-dimensional convolutional neural network with convolutional long short-term memory to extract the information time sequence and combined with 3D anchors to gather the spatial…”
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Optimizing partitioned CSR-based SpGEMM on the Sunway TaihuLight by Chen, Yuedan, Xiao, Guoqing, Yang, Wangdong

“… Several works focus on various optimizations for SpGEMM. To fully exploit the powerful computing capability of the Sunway TaihuLight supercomputer for SpGEMM…”
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A monetary policy prediction model based on deep learning by Lu, Minrong

“…Applying neural network and error t-value test, this study trains and analyzes 28 interest rate changes…”
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Trust-based security routing mechanism in mobile social networks by Yang, Shuang, Wang, Xingwei, Zhang, Shuang, Yi, Bo, Huang, Min

“…Malicious and selfish behaviors represent a serious security threat against routing in mobile social networks (MSN). Due to MSN’s unique network…”
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Workload-driven coordination between virtual machine allocation and task scheduling by Xiao, Zheng, Wang, Bangyong, Li, Xing, Du, Jiayi

“…The current task scheduling is separated from the virtual machine (VM) allocation, which, to some extent, wastes resources or degrades application performance…”
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Editorial Message: Special Issue on Advances in Parallel and Distributed Computing for Fuzzy Systems by Xiao, Guoqing, Li, Kenli, Li, Maozhen, Wang, Lipo

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Distributed Bayesian optimisation framework for deep neuroevolution by Chandra, Rohitash, Tiwari, Animesh

“…Neuroevolution is a machine learning method for evolving neural networks parameters and topology with a high degree of flexibility that makes them applicable to a wide range of architectures…”
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Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing by Dutta, Sanghamitra, Jeong, Haewon, Yang, Yaoqing, Cadambe, Viveck, Low, Tze Meng, Grover, Pulkit

“… The goal of this article is to survey recent advances in reliable computing using unreliable elements, with an eye on nonsilicon and non-von Neumann architectures…”
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Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework by He, Hongxia, Li, Xi, Chen, Peng, Chen, Juan, Liu, Ming, Wu, Lei

“…Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services…”
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Prospects and applications of photonic neural networks by Huang, Chaoran, Sorger, Volker J., Miscuglio, Mario, Al-Qadasi, Mohammed, Mukherjee, Avilash, Lampe, Lutz, Nichols, Mitchell, Tait, Alexander N., Ferreira de Lima, Thomas, Marquez, Bicky A., Wang, Jiahui, Chrostowski, Lukas, Fok, Mable P., Brunner, Daniel, Fan, Shanhui, Shekhar, Sudip, Prucnal, Paul R., Shastri, Bhavin J.

“…Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing…”
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