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

23,941 篇 会议
411 篇 期刊文献
283 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

24,637 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

14,494 篇 工学
- 13,365 篇 计算机科学与技术...
- 5,952 篇 软件工程
- 2,506 篇 电气工程
- 2,168 篇 信息与通信工程
- 913 篇 控制科学与工程
- 532 篇 电子科学与技术（可...
- 411 篇 机械工程
- 327 篇 生物工程
- 261 篇 动力工程及工程热...
- 218 篇 仪器科学与技术
- 207 篇 生物医学工程（可授...
- 155 篇 材料科学与工程（可...
- 152 篇 力学（可授工学、理...
- 150 篇 建筑学
- 147 篇 土木工程
- 122 篇 网络空间安全
- 117 篇 环境科学与工程（可...
- 111 篇 交通运输工程
2,956 篇 理学
- 2,035 篇 数学
- 449 篇 物理学
- 396 篇 生物学
- 342 篇 系统科学
- 313 篇 统计学（可授理学、...
- 145 篇 化学
2,035 篇 管理学
- 1,501 篇 管理科学与工程(可...
- 711 篇 工商管理
- 666 篇 图书情报与档案管...
249 篇 医学
- 190 篇 临床医学
- 111 篇 基础医学(可授医学...
173 篇 经济学
- 172 篇 应用经济学
153 篇 法学
85 篇 农学
83 篇 教育学
41 篇 文学
11 篇 军事学
8 篇 艺术学

主题

2,977 篇 distributed comp...
1,753 篇 parallel process...
1,702 篇 concurrent compu...
1,628 篇 cloud computing
1,226 篇 computational mo...
1,084 篇 computer archite...
948 篇 grid computing
932 篇 computer science
791 篇 application soft...
753 篇 computer network...
615 篇 scalability
519 篇 distributed data...
515 篇 algorithm design...
512 篇 hardware
500 篇 peer to peer com...
497 篇 parallel algorit...
487 篇 high performance...
451 篇 software enginee...
451 篇 parallel computi...
439 篇 artificial intel...

机构

52 篇 university of ch...
41 篇 college of compu...
39 篇 institute of com...
37 篇 college of intel...
36 篇 department of co...
31 篇 department of co...
29 篇 school of comput...
28 篇 national laborat...
28 篇 natl univ def te...
27 篇 school of comput...
24 篇 school of comput...
24 篇 shandong provinc...
24 篇 institute of inf...
23 篇 institute of par...
22 篇 univ chinese aca...
21 篇 university of sc...
21 篇 school of comput...
21 篇 school of comput...
20 篇 shanghai jiao to...
20 篇 department of co...

作者

35 篇 li dongsheng
30 篇 liu jie
29 篇 dongsheng li
27 篇 duerr frank
26 篇 m. takizawa
26 篇 rajkumar buyya
26 篇 zomaya albert y.
24 篇 fahringer thomas
21 篇 jack dongarra
19 篇 yang yang
18 篇 li kenli
18 篇 wei li
18 篇 prodan radu
17 篇 wang guojun
17 篇 badia rosa m.
16 篇 liu yang
16 篇 p. banerjee
16 篇 dou yong
15 篇 lei wang
15 篇 xuejun yang

语言

24,371 篇 英文
165 篇 其他
85 篇 中文
17 篇 俄文
2 篇 土耳其文
2 篇 乌克兰文
1 篇 德文
1 篇 西班牙文
1 篇 法文

检索条件"任意字段=International Conference on Advances in Parallel and Distributed Computing"

共 24637 条记录，以下是371-380 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：

Power Estimation Models for Edge computing Devices

Power Estimation Models for Edge Computing Devices

引用

29th international conference on parallel and distributed computing (Euro-Par)

作者： Kasioulis, Michalis Symeonides, Moysis Pallis, George Dikaiakos, Marios D. Univ Cyprus Dept Comp Sci Nicosia Cyprus

ISBN: (纸本)9783031506833;9783031506840

The increasing demand for energy-efficient solutions in IoT devices and edge computing calls for novel methodologies to generate accurate power models for diverse devices, enabling sustainable growth and optimized performance. This paper presents a methodology for creating power models for edge devices and their embedded components. The proposed methodology collects power and resource utilization measurements from the edge device and generates both additive and regression models. The methodology is evaluated on a Raspberry Pi 4 device using a smart plug for power monitoring and various benchmarking tools for CPU and network sub-components. The evaluation shows that the generated models achieve low error, demonstrating the effectiveness of the proposed approach. Our methodology can be applied to any edge device, providing insights into the most efficient power consumption model. The heterogeneity of edge devices poses a challenge to creating a global power model, and our approach provides a solution for developing device-specific power models. Our results indicate that the generated models for Raspberry Pi 4 scored a maximum of 8% MAPE.

关键词： Power Consumption Power Modeling IoT Edge computing Edge Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Spatiotemporal Data Access for Map Services based on R-star tree index and LSM tree 28

Spatiotemporal Data Access for Map Services based on R-star ...

引用

28th IEEE international conference on Intelligent Engineering Systems (INES)

作者： Gatial, Emil Balogh, Zoltan Dolatabadi, Sepideh Hassankhani Slovak Acad Sci Inst Informat Dept Parallel & Distributed Comp Bratislava Slovakia Slovak Acad Sci Inst Informat Dept Modelling & Control Discrete Proc Bratislava Slovakia

ISBN: (纸本)9798350367607;9798350367591

The paper proposed an approach to building a scalable service for spatiotemporal data storage to be used in applications that require searching for localized data and possibility of scaling up the storage resources. The motivation for proposing this approach was enabling the localized data being overlayed over the map, while transferring only required data and minimize the latency time. The paper describes the architecture combining the R-star tree index and Log Structured Merge (LSM) tree methods. The implementation framework based on Erlang OTP is proposed to provide a basis for sustainability and resiliency.

关键词： Spatiotemporal database R-star tree LSM tree map services

来源：评论

学校读者我要写书评

暂无评论

A lightweight distributed processing computer system 3

A lightweight distributed processing computer system

引用

3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Xu, Zhenpeng Li, Weiwei Yin, Jinyong Automation Research Institute Department of Computer Jiangsu Lianyungang China

ISBN: (纸本)9798350398410

For the needs of real-time parallel processing of critical task and real-time state control in muti-node computing system, a lightweight distributed processing computer mechanism is designed for iterative computing type tasks based on theoretical techniques such as memory computing and distributed computing. Using the feature of distributed collaborative processing, the data is deployed to different nodes to reduce the burden of each node and. To support continuous computational iterations, temporary data for each computation is temporarily stored in memory to reduce the disk IO access time during the iteration. Before the start of the whole task, the transformation relationship between the saved data is defined by generating the run plan graph of this task. In addition to load balancing of processing nodes, a balanced scheduling mechanism of control nodes is introduced to monitor the operation status of each node in real time through load balancing and control the deployment of computation tasks. Tests show that the designed lightweight computing mechanism outperforms the traditional distributed computing mechanism. In addition, the performance outperforms the mainstream memory-based distributed computing mechanism when carrying multiple tasks. © 2023 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Balanced Offloading of Multiple Task Types in Mobile Edge computing 29

Balanced Offloading of Multiple Task Types in Mobile Edge Co...

引用

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

作者： Zhang, Ye He, Xingyun Xing, Jin Li, Wuyungerile Seah, Winston K.G. Inner Mongolia University School of Computer Science Hohhot China Victoria University of Wellington School of Engineering and Computer Science Wellington New Zealand

ISBN: (纸本)9798350330717

The rapid evolution of mobile networks presents challenges for devices with limited computing power. Mobile or multi-access edge computing (MEC) addresses this by providing computing resources in proximity to end devices. However, MEC servers face constraints in resource sharing, necessitating efficient allocation. We propose the Balanced Offload for Multi-type Tasks (BOMT) algorithm. Tasks are prioritized based on type, size, and maximum tolerable delay. Different offloading algorithms are applied for varying priority tasks, considering current server load. Simulation results demonstrate BOMT's effectiveness in reducing latency, enhancing user coverage, and improving task completion rates. © 2023 IEEE.

关键词： compute offload load balancing MEC

来源：评论

学校读者我要写书评

暂无评论

Secure Range Queries on Semantic Trajectories in Fog-based Cloud computing 22

Secure Range Queries on Semantic Trajectories in Fog-based C...

引用

22nd IEEE international Symposium on parallel and distributed Processing with Applications, ISPA 2024

作者： Teng, Yiping Wang, Shiqing Li, Miao Tang, Yuyao Yu, Bingfeng Fan, Chunlong Shenyang Aerospace University School of Computer Liaoning Shenyang China

ISBN: (纸本)9798331509712

With the advances in positioning techniques, trajectories are emerged with semantic information such as location-based activities and sign-ins. Essential for applications such as trip recommendations, range queries on semantic trajectories are utilized to identify trajectories that satisfy specific spatio-temporal conditions as well as keyword-related criteria. To reduce the costs of query processing services, data owners often outsource the data services to public platforms, of which the fog-based cloud can offer enhanced storage and computing capabilities and support efficient access to user data. However, outsourcing data in plaintext may raise privacy concerns. To this end, we study the problem of secure range queries on semantic trajectories on the fog-based cloud platform. Initially, to effectively organize semantic trajectories, we design a secure index structure within fog-based cloud framework by distributing spatio-temporal data of trajectories across the fog servers based on semantic contents. Subsequently, we propose a secure range query scheme where keyword pruning prioritizes the fog servers containing query keywords, and then secure spatio-temporal pruning is performed in parallel to obtain the candidate trajectories satisfying spatio-temporal constraints. Finally, on cloud servers, secure timespan verification is applied to ensure that the final results include all query keywords within the specified time span. A comprehensive analysis of the proposed scheme is provided in terms of computational complexity and security guarantees. Leveraging the keyword-first-pruning strategy and parallel processing on fog servers, the query scheme is evaluated to show stable and efficient performance through extensive experiments on real datasets. © 2024 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

A distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous parallel Training of Deep Neural Networks 24

A Distributed Particle Swarm Optimization Algorithm Based on...

引用

53rd international conference on parallel Processing (ICPP)

作者： Capel, Manuel, I Holgado-Terriza, Juan A. Galiana-Velasco, Sergio Salguero, Alberto G. Univ Granada Software Engn Dept Granada Andalucia Spain Univ Malaga Dept Comp Sci & Programming Languages Malaga Andalucia Spain

ISBN: (纸本)9798400718021

Deep Learning Neural Networks (DLNN) require an immense amount of computation, especially in the training phase when multiple layers of intermediate neurons need to be built. The situation is even more dramatic today with the proliferation of applications with intelligence at the edge, not just in the cloud. Therefore, to meet the new requirements of edge computing, it is imperative to accelerate the execution phases of neural networks as much as possible. In this paper, we will focus on the algorithm known as Particle Swarm Optimization (PSO). It is a bio-inspired, stochastic optimization approach whose goal is to iteratively improve the solution to a given (usually complex) problem by attempting to approximate a given objective. The use of PSO in an edge computing environment has the potential to make the training of the DLNN there without the need to transfer resource-intensive tasks to the cloud. However, implementing an efficient PSO is not a straightforward process due to the complexity of the computations performed on the swarm of particles and the iterative execution until until a near-target solution with minimal error is achieved. In the present work, two parallelizations of the PSO algorithm have been implemented, both designed for a distributed execution environment (Apache Spark). The first PSO parallelization follows a synchronous scheme;i.e., the best global position found by particles is globally updated before the execution of the next iteration of the algorithm. This implementation proved to be more efficient for medium-sized datasets (<40000 data points). In contrast, the second implementation is an asynchronous parallel variant of the PSO algorithm, which showed lower execution time for large datasets (> 170,000 data points) compared to the first one. Additionally, it exhibits better scalability and elasticity with respect to increasing dataset size. Both variants of the PSO have been implemented to distribute the computational load (particle fit

关键词： Apache Spark Classification recall Deep Neural Networks GPU parallelism Optimization research Particle Swarm Optimization (PSO) Predictive Accuracy

来源：评论

学校读者我要写书评

暂无评论

parallel Vertex Color Update on Large Dynamic Networks 29

Parallel Vertex Color Update on Large Dynamic Networks

引用

29th Annual IEEE international conference on High Performance computing, Data, and Analytics (HiPC)

作者： Khanda, Arindam Bhowmick, Sanjukta Liang, Xin Das, Sajal K. Missouri Univ Sci & Technol Rolla MO 65409 USA Univ North Texas Denton TX 76203 USA

ISBN: (纸本)9781665494236

We present the first GPU-based parallel algorithm to efficiently update vertex coloring on large dynamic networks. For single GPU, we introduce the concept of loosely maintained vertex color update that reduces computation and memory requirements. For multiple GPUs, in distributed environments, we propose priority-based ordering of vertices to reduce the communication time. We prove the correctness of our algorithms and experimentally demonstrate that for graphs of over 16 million vertices and over 134 million edges on a single GPU, our dynamic algorithm is as much as 20x faster than state-of-the-art algorithm on static graphs. For larger graphs with over 130 million vertices and over 260 million edges, our distributed implementation with 8 GPUs produces updated color assignments within 160 milliseconds. In all cases, the proposed parallel algorithms produce comparable or fewer colors than state-of-the-art algorithms.

关键词： parallel/distributed algorithm Vertex coloring Dynamic networks

来源：评论

学校读者我要写书评

暂无评论

Investigating the Label-flipping Attacks Impact in Federated Learning 5

Investigating the Label-flipping Attacks Impact in Federated...

引用

5th international conference on Information Science, parallel and distributed Systems, ISPDS 2024

作者： Ji, Jiaxin East China Normal University Shanghai Key Laboratory of Trustworthy Computing Shanghai China

ISBN: (纸本)9798350352719

Federated Learning (FL) is a collaborative model training approach that protects data privacy while allowing for model updates and optimization. However, FL is vulnerable to poisoning attacks due to its distributed nature. Among these attacks, label-flipping stands out for being straightforward to implement yet challenging to detect. Additionally, current research used to treat it as a black box, which could hinder the development of defense strategies. To fill this gap, this work investigates the impact of label-flipping attacks from multiple perspectives. Experiments are conducted using the MNIST and Fashion-MNIST dataset and an MLP (MultiLayer Perceptron) model. Results show that in label-flipping attacks, malicious clients primarily alter parameters in specific model components. Different flipping strategies also have varying effects on model parameters. Finally, this study compares label-flipping attacks with model poisoning attacks to better understand their differences. We're looking forward to this work to offer insights for the FL community regarding label-flipping understanding and defense strategies. © 2024 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

GEOtiled: A ScalableWorkflow for Generating Large Datasets of High-Resolution Terrain Parameters 23

GEOtiled: A ScalableWorkflow for Generating Large Datasets o...

引用

32nd international Symposium on High-Performance parallel and distributed computing (HPDC) part of the ACM Federated computing Research conference (FCRC)

作者： Roa, Camila Olaya, Paula Llamas, Ricardo Vargas, Rodrigo Taufer, Michela Univ Tennessee Knoxville TN 37916 USA Univ Delaware Newark DE USA

ISBN: (纸本)9798400701559

Terrain parameters such as slope, aspect, and hillshading are essential in various applications, including agriculture, forestry, and hydrology. However, generating high-resolution terrain parameters is computationally intensive, making it challenging to provide these value-added products to communities in need. We present a scalable workflow called GEOtiled that leverages data partitioning to accelerate the computation of terrain parameters from digital elevation models, while preserving accuracy. We assess our workflow in terms of its accuracy and wall time by comparing it to SAGA, which is highly accurate but slow to generate results, and to GDAL, which supports memory optimizations but not data parallelism. We obtain a coefficient of determination (R-2) between GEOtiled and SAGA of 0.794, ensuring accuracy in our terrain parameters. We achieve an X6 speedup compared to GDAL when generating the terrain parameters at a high-resolution (10 m) for the Contiguous United States (CONUS).

关键词： High Throughput computing Data Partitioning Cloud computing Soil moisture

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of A High-Performance Rendering Algorithm for Large Terrain Systems based on GPU parallel computing 26

Design and Implementation of A High-Performance Rendering Al...

引用

26th ACIS international Winter conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing, SNPD-Winter 2023

作者： Hongdi, Sun Minzheng, Jia Zhu, Gao Beijing Polytechnic College Beijing100043 China Beijing Guang Yu-Online Technology Co. Ltd. Beijing100085 China

ISBN: (纸本)9798350345865

Although traditional 3D terrain algorithms can improve the rendering efficiency of the terrain, they often ignore the performance of the terrain itself. The use of four textures is not sufficient to deal with complex terrain scenes. Therefore, a terrain virtual texture mapping algorithm based on GPU instancing was proposed, which can map multiple surface textures of more terrains to one virtual texture before rendering, preventing the operation of GPU pipelines from being interrupted due to the change of surface textures. In this case, the parallel computing power of GPU can be better utilized, completing the efficient rendering of diverse terrains with fewer rendering times. The experimental results have shown that this algorithm can increase the diversity of terrain changes so as to applicable to more complex large terrain systems. © 2023 IEEE.

关键词： Graphics processing unit

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500页 << < 34 35 36 37 38 39 40 41 42 43 > >>

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：