检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4,279 篇 会议
47 篇 期刊文献
1 册 图书

馆藏范围

4,327 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,430 篇 工学
- 2,166 篇 计算机科学与技术...
- 1,079 篇 软件工程
- 607 篇 电气工程
- 585 篇 信息与通信工程
- 185 篇 仪器科学与技术
- 138 篇 控制科学与工程
- 120 篇 电子科学与技术（可...
- 64 篇 生物工程
- 59 篇 机械工程
- 43 篇 动力工程及工程热...
- 38 篇 交通运输工程
- 31 篇 生物医学工程（可授...
- 27 篇 安全科学与工程
- 26 篇 网络空间安全
- 24 篇 光学工程
- 23 篇 土木工程
- 22 篇 材料科学与工程（可...
- 20 篇 建筑学
- 19 篇 航空宇航科学与技...
417 篇 理学
- 253 篇 数学
- 85 篇 物理学
- 72 篇 生物学
- 51 篇 系统科学
- 42 篇 统计学（可授理学、...
261 篇 管理学
- 179 篇 管理科学与工程(可...
- 97 篇 图书情报与档案管...
- 65 篇 工商管理
35 篇 医学
- 30 篇 临床医学
33 篇 法学
- 19 篇 社会学
18 篇 经济学
- 18 篇 应用经济学
11 篇 农学
7 篇 教育学
7 篇 文学
2 篇 军事学
1 篇 艺术学

主题

543 篇 parallel process...
259 篇 computer archite...
238 篇 computational mo...
207 篇 distributed comp...
186 篇 concurrent compu...
179 篇 computer network...
164 篇 network topology
157 篇 hardware
157 篇 graphics process...
148 篇 routing
130 篇 bandwidth
123 篇 application soft...
120 篇 neural networks
120 篇 protocols
107 篇 scalability
104 篇 multicore proces...
103 篇 throughput
102 篇 algorithm design...
102 篇 kernel
101 篇 computer science

机构

15 篇 institute of inf...
14 篇 institute of com...
14 篇 science and tech...
13 篇 college of compu...
13 篇 school of cyber ...
13 篇 shandong fundame...
12 篇 school of comput...
10 篇 science and tech...
9 篇 univ chinese aca...
9 篇 university of ch...
9 篇 natl univ def te...
9 篇 natl univ def te...
8 篇 shenyang aerospa...
8 篇 beijing univ pos...
8 篇 nanjing univ aer...
8 篇 beijing universi...
7 篇 shanghai jiao to...
7 篇 college of compu...
7 篇 chinese acad sci...
7 篇 national key lab...

作者

17 篇 bagherzadeh nade...
16 篇 kotenko igor
14 篇 j. duato
12 篇 wang yijie
11 篇 daneshtalab maso...
10 篇 ebrahimi masoume...
10 篇 yijie wang
10 篇 nader bagherzade...
10 篇 igor kotenko
10 篇 lexi xu
9 篇 li dongsheng
9 篇 marco aldinucci
9 篇 matsutani hiroki
8 篇 hiroki matsutani
8 篇 masoumeh ebrahim...
8 篇 plosila juha
8 篇 marco danelutto
8 篇 wang huaimin
7 篇 tenhunen hannu
7 篇 xinzhou cheng

语言

4,279 篇 英文
39 篇 其他
11 篇 中文
1 篇 乌克兰文

检索条件"任意字段=Euromicro Conference on Parallel, Distributed and Network-Based Processing"

共 4327 条记录，以下是361-370 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

The Adaptive Fault-tolerant Routing based on an Improved Local Security Information Model of the Exchanged Hypercube 21

The Adaptive Fault-tolerant Routing Based on an Improved Loc...

引用

21st IEEE International Symposium on parallel and distributed processing with Applications, 13th IEEE International conference on Big Data and Cloud Computing, 16th IEEE International conference on Social Computing and networking and 13th International conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Zhang, Yazhi Luo, Chuanwen Wang, Guijuan Zhang, Li Lv, Mengjie Yu, Jiguo Qilu University of Technology School of Computer Science and Technology Jinan China Beijing Forestry University School of Information Science and Technology Beijing China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China Nanjing University of Posts and Telecommunications College of Computer Nanjing China Qilu University of Technology Shandong Academy of Sciences Big Data Research Institute Jinan China

ISBN: (纸本)9798350329223

With the increasing amount of computation in high-performance computing, the scale of interconnection networks is becoming larger and larger. It is inevitable that processors or links in the network become faulty. Therefore, it is very important for a processor to understand the security status of itself and neighbors, and then adaptively and reliably communicate. However, the existing security information models consider faulty processors or faulty links separately, and do not consider the situation where both processors and links fail simultaneously. The Exchanged Hypercube is an excellent interconnection network structure which achieves a balance between network functionality and hardware overhead while preserving many excellent properties of the Hypercube. In this paper, we propose an adaptive fault-tolerant routing algorithm of the Exchanged Hypercube based on an improved local security information model, which considers the faulty processors and faulty links simultaneously. This algorithm always can select suitable processors for routing based on the local security information and unsafe coefficients of processors, which greatly reduces the impact of the faulty of networks. The adaptive fault-tolerant routing algorithm of the Exchanged Hypercube network is not only suitable for regular networks but also for heterogeneous networks since the Exchanged Hypercube is a semi regular network. Sufficient experimental results show that the algorithm proposed in this paper has a lower packet loss rate, a higher success rate, and a shorter average path length. © 2023 IEEE.

关键词： Hypercube networks

来源：评论

学校读者我要写书评

暂无评论

Hierarchical Collaborative Resource Scheduling in Industrial Internet of Things based on Graph Neural networks and Deep Reinforcement Learning 29

Hierarchical Collaborative Resource Scheduling in Industrial...

引用

29th IEEE International conference on parallel and distributed Systems, ICPADS 2023

作者： Meng, Qifeng Luo, Zihui Zheng, Xiaolong Liu, Liang Ma, Huadong Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9798350330717

The hierarchical cooperative resource scheduling architecture provides a promising direction for efficient collaborative processing of edge computing under the dynamic and intricate landscape of the Industrial Internet of Things (IIoT). However, existing scheduling algorithms often struggle to effectively capture the intricate information features inherent in hierarchical and collaborative domains, leading to suboptimal solutions. To tackle this challenge, we introduce a novel hierarchical cooperative resource scheduling framework based on Graph Neural networks (GNN) and Deep Reinforcement Learning (DRL). We first leverage hierarchical GNN to facilitate seamless information exchange among internal nodes and adjacent nodes between layers in the hierarchical structure and transform it into node embeddings. These meticulously designed embeddings are then input into the policy model of DRL for the iterative learning process to generate higher-quality solutions by leveraging global feature information. Experiment results unequivocally demonstrate the superiority of our approach over baselines in terms of scheduling performance. Furthermore, our model exhibits robust generalization capabilities across various scenarios. © 2023 IEEE.

关键词： Deep Reinforcement Learning Edge Computing Graph Neural network Hierarchical Collaborative Industrial Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Semi-asynchronous Federated Learning Optimized for NON-IID Data Communication based on Tensor Decomposition 21

Semi-asynchronous Federated Learning Optimized for NON-IID D...

引用

作者： Wu, Qidong Fu, Xuemei Yang, Xiangli Zhao, Ruonan Wu, Chengqian Zhang, Tinghua Hainan University School of Computer Science and Technology Haikou China Hainan University School of Information and Communication Engineering Haikou China

ISBN: (纸本)9798350329223

Federated Learning (FL) is a new distributed machine learning framework that enables reliable collaborative training without collecting users' private data, it can successfully address the issue of data silos. However, FL has had trouble scaling to statistically varied data and large-scale models because of its frequent communication and average aggregation procedures. In this paper, we propose a Semi-asynchronous Stochastic Controlled Averaging based on Tensor Decomposition for Federated Learning (SATD-SCAFFOLD), in which we perform tensor decomposition on the client model to reduce communication costs. In addition, we design a semi-asynchronous aggregation approach for the server, which can prevent server from wasting too much time waiting for data from late clients in the case of an unstable network, and the overall model still has excellent performance. Thorough experiments demonstrate that our proposed SATDSCAFFOLD algorithm can reduce both the communication cost and convergence time while maintaining good performance. © 2023 IEEE.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Edge DDoS Attack Detection Method based on Software Defined networks 21st

Edge DDoS Attack Detection Method Based on Software Defined ...

引用

21st International conference on Algorithms and Architectures for parallel processing (ICA3PP)

作者： Ren, Gangsheng Zhang, Yang Zhang, Shukui Long, Hao Soochow Univ Sch Comp Sci & Technol Suzhou Peoples R China

ISBN: (纸本)9783030953843;9783030953836

Edge computing extends the traditional cloud computing architecture by using the computing and storage resources on the edge of the network, making people's work and life more convenient. However, these devices at the edge of the network are widely distributed and the environment is relatively complex. Attackers use these vulnerable IoT devices to build botnets to initiate distributed denial of service attacks, posing a serious threat to the normal use of such networks. In response to this problem, we propose an anomaly detection framework based on software-defined networking (SDN). The edge controller in the SDN network is used to obtain the flow information and extract the features of the flow. The XGBoost algorithm optimized by genetic algorithm (GA-XGBoost) we proposed is used to classify and detect the flow. Experimental results show that compared with other algorithms of the same type, our proposed algorithm has a lower false alarm rate and higher accuracy.

关键词： Edge computing Software-defined network (SDN) distributed denial of service attack (DDoS) Anomaly detection Machine learning

来源：评论

学校读者我要写书评

暂无评论

ExpoNAS: Using Exposure-based Candidate Exclusion to Reduce NAS Space for Heterogeneous Pipeline of CNNs 29

ExpoNAS: Using Exposure-based Candidate Exclusion to Reduce ...

引用

29th IEEE International conference on parallel and distributed Systems, ICPADS 2023

作者： Duan, Huijuan Wang, Danghui Zhao, Xingting Mei, Kuizhi Wang, Jihe Polytechnical University School of Computer Science Northwestern Xi'an China Northwestern Polytechnical University Engineering Research Center of Embedded System Integration Ministry of Education Xi'an China Xi'An Jiaotong University Institute of Artificial Intelligence and Robotics Xi'an China Northwestern Polytechnical University Natl. Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi'an China

ISBN: (纸本)9798350330717

Efficiently deploying neural network models on heterogeneous edge systems faces unique challenges. Two major issues are underutilized pipelines caused by hardware heterogeneity and explosive growth of architecture search space. To address these challenges, we propose ExpoNAS, a framework enabling fast deployment-oriented neural architecture search on heterogeneous platforms. ExpoNAS evaluates model partitioning and deployability before search to meet accuracy and latency constraints. However, repeated partitioning leads to exponential growth in architecture search space. We first observe a strong correlation between operational exposure and accuracy improvement, and then we propose an exposure-based reduction technique that excludes the operations of low exposure. By removing these non-critical operations, the exposure-based pruning successfully reduces architecture search time. Our experiments on popular datasets show that the ExpoNAS pipelined design improves execution efficiency by a factor of 2 compared to traditional batch processing. Without compromising accuracy, ExpoNAS is able to reduce the architecture search time by 47.5% for discovering high-accuracy networks, compared to the SOTA NAS strategies. © 2023 IEEE.

关键词： heterogeneous systems NAS pipeline mapping search space reduction

来源：评论

学校读者我要写书评

暂无评论

NoC Design Methodologies for Heterogeneous Architecture 28

NoC Design Methodologies for Heterogeneous Architecture

引用

28th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Alhubail, Lulwah Jasemi, Masoomeh Bagherzadeh, Nader Kuwait Univ Comp Engn Dept Kuwait Kuwait Sharif Univ Technol Dept Comp Engn Tehran Iran Univ Calif Irvine Elect Engn & Comp Sci Dept Irvine CA USA

ISBN: (纸本)9781728165820

Fused CPU-GPU architectures that utilize the powerful features of both processors are common nowadays. Using homogeneous interconnect for such heterogeneous processors can result in performance degradation and power increase. This paper explores the optimization of heterogeneous NoC design to connect heterogeneous CPU-GPU architecture in terms of NoC performance and power. This involves solving four different NoC design sub -problems simultaneously;processing elements (PEs) mapping, buffer size and virtual channel assignments, and links' bandwidth determination. Heuristic-based optimization methods were proposed to obtain a near-optimal heterogeneous NoC design, and formal models were used to get a measure of the NoC performance and power of the evaluated design. The obtained optimal designs were validated using a full-system simulator.

关键词： CPU-GPU Heterogeneous architecture network-on-Chip Optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Information Entropy Composition Algorithms for Multipath Trust Relationships in Trust Propagation 29

Information Entropy Composition Algorithms for Multipath Tru...

引用

29th IEEE International conference on parallel and distributed Systems, ICPADS 2023

作者： Li, Xuefei Xu, Lei Li, Ru Inner Mongolia University School of Computing Hohhot China

ISBN: (纸本)9798350330717

The miscellaneous users, devices, and information in the network bring a great threat to the security of network information. Compared with access control, data encryption and so on, trust management is a technology that can utilize many factors to measure the dynamic trust relationship between nodes. Trust propagation and trust evaluation are the contents of trust management, and trust propagation refers to the spread of trust relationships between nodes. This paper designs a trust propagation mechanism based on information entropy theory. First of all, this paper describes the trust relationship between nodes, including the normalization of trust value, series propagation, and parallel propagation, as well as the corresponding change principles of information entropy in the process of propagation. Then, this paper designs the increasing algorithm and decreasing algorithm of information entropy, and utilizes experiments to determine the values of related parameters. Finally, through the simulation experiment of the dynamic relationship between nodes, this paper verifies the effectiveness of the designed trust propagation mechanism. The experimental results show that the designed information entropy increasing algorithm and decreasing algorithm can be applied to trust propagation to measure the trust relationship between any node. Utilizing the trust propagation mechanism, to quantify the relationships between any non-adjacent nodes in the knowledge graph, and enhance the traversal and search of knowledge and their relationships. © 2023 IEEE.

关键词： Information entropy theory network information security Trust management Trust propagation mechanism Trust relationship

来源：评论

学校读者我要写书评

暂无评论

BSCache: A Brisk Semantic Caching Scheme for Cloud-based Performance Monitoring Timeseries Systems 51

BSCache: A Brisk Semantic Caching Scheme for Cloud-based Per...

引用

51st International conference on parallel processing (ICPP)

作者： Zhang, Kai Wang, Zhiqi Shao, Zili Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781450397339

Cloud-based performance monitoring timeseries systems are emerging due to cloud's flexibility and pay-as-you-go capabilities. For such systems, caching is particularly important considering the limited bandwidth and long access latency of the cloud storage. However, existing cache schemes, such as with external cache systems (e.g. Memcached or Redis), are not specially designed for timeseries data and thus provide suboptimal performance. In this paper, we propose BSCache, a novel lightweight semantic cache mechanism for cloud-based performance monitoring timeseries systems, which is a variant of semantic cache specially designed for timeseries workloads. BSCache supports semantic-aware, metadata-data mixed in-memory management so it can significantly improve timeseries query performance. We have implemented a fully-functional, open-source prototype of BSCache and integrated it into Cortex, a distributed performance monitoring timeseries system widely adopted in industry. BSCache is compared with Memcached which is the default caching system in Cortex. Experimental results show that BSCache can significantly improve query performance with higher cache hit ratios and less CPU overhead under the same cache sizes compared with Memcached in Cortex.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Method of Data Transmission Technology based on Fiber Optic Sensing Vibration 6

Method of Data Transmission Technology Based on Fiber Optic ...

引用

6th IEEE International conference on Automation, Electronics and Electrical Engineering, AUTEEE 2023

作者： Liu, Yunxun Meng, Qiushi He, Zebin Hu, Ran Liang, Chengjun Song, Tinghan Huang, Xing Guangdong Power Grid Co. Ltd. Csg Guangzhou Power Supply Bureau Guangzhou China

ISBN: (纸本)9798350305623

This article constructed a fiber optic distributed vibration sensing system based on FPGA (Field Programmable Gate Array). The FPGA chip was proposed to collect, preprocess, demodulate, and transmit vibration signals, fully leveraging the parallel computing advantages of FPGA, improving the data processing speed and real-time response, and thereby reducing the data processing burden on personal computers. In a set of experiments, FPGA was used to complete data collection. Through the network interface, the collected data was uploaded to the host, and then in the PC (personal computer), the data was preprocessed and demodulated, which was the demodulation of the PC. In another set of experiments, FPGA was used to collect, preprocess, and demodulate data, that is, FPGA on chip demodulation. The upper computer demodulation+PZT applied vibration response time was 1.36 seconds, and the FPGA on chip demodulation+PZT applied vibration response time was 0.61 seconds. The data transmission scheme in this article has reflected a high processing speed and real-time response to data. © 2023 IEEE.

关键词： Data processing Fiber Optic distributed Vibration Sensing System Data Transmission Field Programmable Gate Array Response Time

来源：评论

学校读者我要写书评

暂无评论

Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs 28

Performance Meets Programmabilty: Enabling Native Python MPI...

引用

28th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Elshazly, Hatem Lordan, Fratacesc Ejarque, Jorge Badia, Rosa M. Barcelona Supercomp Ctr BSC Dept Comp Sci Barcelona Spain

ISBN: (纸本)9781728165820

The increasing complexity of modern and future computing systems makes it challenging to develop applications that aim for maximum performance. Hybrid parallel programming models offer new ways to exploit the capabilities of the underlying infrastructure. However, the performance gain is sometimes accompanied by increased programming complexity. We introduce an extension to PyCOMPSs, a high-level task-based parallel programming model for Python applications, to support tasks that use MPI natively as part of the task model. Without compromising application's programmability, using Native MPI tasks in PyCOMPSs offers up to 3x improvement in total performance for compute intensive applications and up to 1.9x improvement in total performance for 110 intensive applications over sequential implementation of the tasks.

关键词： Hybrid Programming Models distributed Computing MPI High Performance Computing Task-based parallel Programming Models Performance Productivity

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共433页 << < 33 34 35 36 37 38 39 40 41 42 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：