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

23,961 篇 会议
400 篇 期刊文献
285 册 图书
1 篇 学位论文

馆藏范围

24,647 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

14,497 篇 工学
- 13,367 篇 计算机科学与技术...
- 5,952 篇 软件工程
- 2,508 篇 电气工程
- 2,171 篇 信息与通信工程
- 916 篇 控制科学与工程
- 532 篇 电子科学与技术（可...
- 412 篇 机械工程
- 327 篇 生物工程
- 261 篇 动力工程及工程热...
- 219 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
- 123 篇 网络空间安全
- 117 篇 环境科学与工程（可...
- 112 篇 交通运输工程
2,956 篇 理学
- 2,034 篇 数学
- 449 篇 物理学
- 397 篇 生物学
- 343 篇 系统科学
- 313 篇 统计学（可授理学、...
- 145 篇 化学
2,037 篇 管理学
- 1,501 篇 管理科学与工程(可...
- 712 篇 工商管理
- 667 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
82 篇 教育学
41 篇 文学
11 篇 军事学
8 篇 艺术学

主题

2,974 篇 distributed comp...
1,756 篇 parallel process...
1,703 篇 concurrent compu...
1,632 篇 cloud computing
1,229 篇 computational mo...
1,086 篇 computer archite...
954 篇 grid computing
932 篇 computer science
783 篇 application soft...
757 篇 computer network...
615 篇 scalability
519 篇 distributed data...
514 篇 algorithm design...
507 篇 hardware
503 篇 peer to peer com...
494 篇 parallel algorit...
477 篇 high performance...
450 篇 software enginee...
445 篇 parallel computi...
442 篇 parallel program...

机构

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

作者

35 篇 li dongsheng
29 篇 dongsheng li
28 篇 liu jie
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
19 篇 prodan radu
18 篇 wei li
17 篇 li kenli
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

23,954 篇 英文
592 篇 其他
89 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 24647 条记录，以下是551-560 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：

CMS: A Computility Resource Status Management and Storage Framework 20th

CMS: A Computility Resource Status Management and Storage F...

引用

20th IFIP WG 10.3 international conference on Network and parallel computing, NPC 2024

作者： Peng, Xiaohui Luo, Xudong Chang, Kuo Wang, Yifan Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Nanjing Institute of InforSuperBahn Nanjing China

ISBN: (纸本)9789819628292

With the increasing demand for computility, managing distributed computility resources is crucial for improving service quality and performance of the cross-region computility infrastructure. In order to ensure timely and accurate scheduling of computing tasks on such infrastructure, a distributed computility status storage and query system is needed to achieve millisecond-level performance in terms of multidimensional sort query and multidimensional range query for computility status. Thus, we propose CMS, a computility resource status management and storage framework, which leverages specialized multidimensional indexes to support millisecond-level resource status reporting and querying, as well as sort and range queries. In addition, we developed BCQL and a set of querying algorithms to enhance throughput and reduce query latency. Experimental results show that the average query latency of the multidimensional sorting queries and range queries of the CMS system is 2.499 ms and 2.014 ms, respectively. While, the latency of those queries in Redis-based framework reach 25.66 ms and 25.13 ms, which are 10× higher than the CMS. © IFIP international Federation for Information Processing 2025.

关键词： Structured Query Language

来源：评论

学校读者我要写书评

暂无评论

Advanced Battery Defect Detection Using VisionMaster: A Deep Learning Approach to Enhance Accuracy and Efficiency 5

Advanced Battery Defect Detection Using VisionMaster: A Deep...

引用

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

作者： Zhang, Xiaoyan Hu, Jingpeng Beijing Institute of Technology Zhuhai School of Computing Zhuhai China

ISBN: (纸本)9798350352719

VisionMaster algorithm development platform is a powerful machine vision software. The platform aims to provide users with efficient and convenient algorithm tools to quickly build visual applications and solve complex visual detection challenges, further promoting the deep application and development of machine vision technology. In this study, the process of battery defect detection utilizing the VisionMaster algorithm platform is thoroughly examined. The detection workflow is initiated by acquiring 2D color images of batteries, followed by the collection of 3D depth maps. These imaging modalities are integrated to provide a comprehensive assessment of battery quality. The VisionMaster platform's embedded vision algorithms are discussed in detail, highlighting their role in the quality evaluation process. The visualization of the scanning process, the interpretation of feedback from the vision system, and the corresponding responses from the lower-level control systems are *** from both 2D and 3D camera scans are analyzed to illustrate the advantages and limitations of each method. The study demonstrates the core value of the vision detection system in ensuring quality control in battery manufacturing. The integration of VisionMaster with advanced vision algorithms is shown to significantly enhance the accuracy and reliability of defect detection, thereby improving overall production quality. © 2024 IEEE.

关键词： Machine vision

来源：评论

学校读者我要写书评

暂无评论

Towards a Better Theoretical Understanding of Independent Subnetwork Training 41

Towards a Better Theoretical Understanding of Independent Su...

引用

41st international conference on Machine Learning, ICML 2024

作者： Shulgin, Egor Richtárik, Peter King Abdullah University of Science and Technology Thuwal Saudi Arabia

Modern advancements in large-scale machine learning would be impossible without the paradigm of data-parallel distributed computing. Since distributed computing with large-scale models imparts excessive pressure on communication channels, significant recent research has been directed toward co-designing communication compression strategies and training algorithms with the goal of reducing communication costs. While pure data parallelism allows better data scaling, it suffers from poor model scaling properties. Indeed, compute nodes are severely limited by memory constraints, preventing further increases in model size. For this reason, the latest achievements in training giant neural network models also rely on some form of model parallelism. In this work, we take a closer theoretical look at Independent Subnetwork Training (IST), which is a recently proposed and highly effective technique for solving the aforementioned problems. We identify fundamental differences between IST and alternative approaches, such as distributed methods with compressed communication, and provide a precise analysis of its optimization performance on a quadratic model. Copyright 2024 by the author(s)

关键词： distributed computer systems

来源：评论

学校读者我要写书评

暂无评论

Prefetching-based Adaptive Video Streaming Strategy on Edge computing 29

Prefetching-based Adaptive Video Streaming Strategy on Edge ...

引用

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

作者： Yi, Xuanyu Zhou, Jipeng Jinan University Department of Computer Science Guangzhou China Jinan University School of Data Science of Guangzhou Huashang College Department of Computer Science Guangzhou China

ISBN: (纸本)9798350330717

Dynamic Adaptive Streaming over HTTP (DASH) is a widely adopted video streaming protocol. Adaptive Bitrate Streaming (ABR) algorithm is utilized to dynamically switch between different bitrates. However, traditional ABR algorithms have gradually failed to meet users' demands for high-quality video transmission, especially in complex network environments. Thus, the current research focus has shifted towards enhancing the accuracy of algorithm. The advent of edge computing has brought new possibilities for DASH transmission. Edge computing-based algorithms can make decisions from a more macroscopic perspective, which can enhance algorithm efficiency. In this paper, we propose an edge computing-based strategy that enables the edge server to obtain the actual file size of the next segment at every bitrate. As a result, edge servers can obtain more informations. We further propose an edge-based system model that assists the ABR algorithm in achieving better operational efficiency. With additional information, the algorithm located at the edge node possesses the capability to make more precise decisions, which is advantageous for enhancing the quality of experience (QoE) for users. Our experiments demonstrate that the proposed strategy can significantly enhance QoE and network resource utilization. © 2023 IEEE.

关键词： DASH Edge computing Video Streaming

来源：评论

学校读者我要写书评

暂无评论

TPTO: A Transformer-PPO based Task Offloading Solution for Edge computing Environments 29

TPTO: A Transformer-PPO based Task Offloading Solution for E...

引用

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

作者： Gholipour, Niloofar De Assuncao, Marcos Dias Agarwal, Pranav Gascon-Samson, Julien Buyya, Rajkumar Univ. of Quebec Dept. of Software Engineering and IT École de Technologie Supérieure Montreal Canada The Univ. of Melbourne CLOUDS Lab School of Computing and Information Systems Australia

ISBN: (纸本)9798350330717

Emerging applications in healthcare, autonomous vehicles, and wearable assistance require interactive and low-latency data analysis services. Unfortunately, cloud-centric architectures cannot fulfill the low-latency demands of these applications, as user devices are often distant from cloud data centers. Edge computing aims to reduce the latency by enabling processing tasks to be offloaded to resources located at the network's edge. However, determining which tasks must be offloaded to edge servers to reduce the latency of application requests is not trivial, especially if the tasks present dependencies. This paper proposes a Deep Reinforcement Learning (DRL) approach called TPTO, which leverages Transformer Networks and Proximal Policy Optimization (PPO) to offload dependent tasks of IoT applications in edge computing. We consider users with various preferences, where devices can offload computation to an edge server via wireless channels. Performance evaluation results demonstrate that under fat application graphs, TPTO is more effective than state-of-the-art methods, such as Greedy, HEFT, and MRLCO, by reducing latency by 30.24%, 29.61%, and 12.41%, respectively. In addition, TPTO presents a training time approximately 2.5 times faster than an existing DRL approach. © 2023 IEEE.

关键词： Edge computing reinforcement learning task offloading Transformers

来源：评论

学校读者我要写书评

暂无评论

Containerized Data-Flow Processing for Scalable Real-Time Analytics on Edge Devices 25th

Containerized Data-Flow Processing for Scalable Real-Time A...

引用

25th international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2024

作者： HoseinyFarahabady, MohammadReza Y. Zomaya, Albert School of Computer Science Center for Distributed and High Performance Computing The University of Sydney SydneyNSW2006 Australia

ISBN: (纸本)9789819642069

The increasing demand for real-time data analysis in Internet of Things (IoT) ecosystems has created several challenges, particularly in environments where resources are limited, and minimizing data processing latency is critical. This paper investigates the use of Linux Containerization (LXC) as a lightweight, resource-efficient alternative to traditional virtual machine managers for accelerating data-flow processing applications. We propose an architecture that integrates Linux Containerization (LXC) with a Proportional-Integral-Derivative (PID) controller to dynamically manage I/O resource allocation, ensuring Quality of Service (QoS) for I/O-intensive data analytics workloads. The proposed PID controller continuously monitors system performance and dynamically adjusts I/O resource allocation to mitigate performance degradation. Through a series of experiments, we demonstrate that LXC-based solutions outperform traditional methods in managing I/O-intensive data analytics workloads in IoT and edge ecosystems. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model 29

FedSKG: Self-supervised Federated Learning with Structural K...

引用

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

作者： Li, Jun Luo, Dan Wei, Kang Mei, Zhen Shao, Yumeng Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing China The Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong

ISBN: (纸本)9798350330717

Federated self-supervised learning (FedSSL) is an emerging method in the domain of machine learning. It collaboratively learns a powerful feature extractor among multiple participants by utilizing distributed unlabeled data. However, conventional FedSSL suffers from statistical heterogeneity due to the non-independent and identically distributed (Non-IID) data among participants. In this work, we introduce a novel method to tackle the Non-IID data issue in FedSSL. First, the relation knowledge distillation is utilized to enhance the learning from global models. Then, we dynamically update the local model with divergence-aware update (DAU) method to preserve the client's knowledge of Non-IID data. Our experimental results demonstrate that the proposed approach outperforms other methods by up to 8% on linear evaluation, verifying the effectiveness of our approach. © 2023 IEEE.

关键词： Federated self-supervised learning knowledge distillation non-independent and identically distributed

来源：评论

学校读者我要写书评

暂无评论

Integrating interactive performance analysis in Jupyter Notebooks for parallel programming education

Integrating interactive performance analysis in Jupyter Note...

引用

1st international conference on Smart Energy Systems and Artificial Intelligence (SESAI)

作者： Oden, Lena Noelp, Klaus Brauner, Philipp Univ Hagen Comp Engn Hagen Germany Rhein Westfal TH Aachen Human Comp Interact Ctr Aachen Germany

ISBN: (纸本)9798350364613;9798350364606

Understanding the performance behavior of parallel applications is important in many ways, but doing so is not easy. Most open source analysis tools are written for the command line. We are building on these proven tools to provide an interactive performance analysis experience within Jupyter Notebooks when developing parallel code with MPI, OpenMP, or both. Our solution makes it possible to measure the execution time, perform profiling and tracing, and visualize the results within the notebooks. For ease of use, it provides both a graphical JupyterLab extension and a C++ API. The JupyterLab extension shows a dialog where the user can select the type of analysis and its parameters. Internally, this tool uses Score -P, Scalasca, and Cube to generate profiling and tracing data. This tight integration gives students easy access to profiling tools and helps them better understand concepts such as benchmarking, scalability and performance bottlenecks. In addition to the technical development, the article presents hands-on exercises from our well-established parallel programming course. We conclude with a qualitative and quantitative evaluation with 19 students, which shows a positive effect of the tools on the students' perceived competence.

关键词： Jupyter parallel programming performance analysis interactive programming high perfonnance computing

来源：评论

学校读者我要写书评

暂无评论

A Reliability-Based Task Scheduling Method for Wireless distributed Systems 23rd

A Reliability-Based Task Scheduling Method for Wireless Dist...

引用

23rd international conference on Computational Science and its Applications (ICCSA)

作者： Bodkhe, Sonali Mahajan, Anjali Sant Gadge Baba Amravati Univ Dept Comp Sci Amravati Maharashtra India Govt Polytech Nagpur Maharashtra India

ISBN: (纸本)9783031368042;9783031368059

parallel computing and distributed computing are the popular terminologies of scheduling. With advancement in technology, systems have become much more compact and fast and need of parallelization plays a major role for this compaction. Wireless computing is also a common concept associated with each new development. Scheduling of tasks has always been a challenging area and is an NP-complete problem. Moreover, when it comes to wireless distributed computing, reliable scheduling plays an important role in order to complete a task in a wireless distributed system. This work proposes an algorithm to dynamically schedule tasks on heterogeneous processors within a wireless distributed computing system. A lot of heuristics, meta-heuristics & genetics have been used earlier with scheduling strategies. However, most of them haven't taken reliability into account before scheduling. Here a heuristic that deals with reliable scheduling is considered. The scheduler also works within an environment which has dynamically changing resources and adapts itself to changing system resources. The testing was carried out with up to 200 tasks being scheduled while testing in a real time wireless distributed environment. Experiments have shown that the algorithm outperforms the other strategies and can achieve a better reliability along with no increase in make-span, in spite of wireless nodes.

关键词： distributed computing Scheduling Reliability Wireless distributed Systems (WDS)

来源：评论

学校读者我要写书评

暂无评论

A Framework for Performance Optimization of Internet of Things Applications

A Framework for Performance Optimization of Internet of Thin...

引用

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

作者： Almurshed, Osama Meshoul, Souham Muftah, Asmail Kaushal, Ashish Kumar Almoghamis, Osama Petri, Ioan Auluck, Nitin Rana, Omer Cardiff Univ Cardiff Wales Prince Sattam Bin Abdulaziz Univ Al Kharj Saudi Arabia Princess Nourah Bint Abdulrahman Univ Riyadh Saudi Arabia Azzaytuna Univ Tarhuna Libya Indian Inst Technol Ropar Rupnagar India King Saud Univ Riyadh Saudi Arabia

ISBN: (纸本)9783031506833;9783031506840

A framework to support optimised application placement across the cloud-edge continuum is described, making use of the Optimized-Greedy Nominator Heuristic (EO-GNH). The framework can be employed across a range of different Internet of Things (IoT) applications, such as smart agriculture and healthcare. The framework uses asynchronous MapReduce and parallel meta-heuristics to support the management of IoT applications, focusing on metrics such as execution performance, resource utilization and system resilience. We evaluate EOGNH using service quality achieved through real-time resource management, across multiple application domains. Performance analysis and optimisation of EO-GNH has also been carried out to demonstrate how it can be configured for use across different IoT usage contexts.

关键词： Cancer Classification Edge computing Industrial IoT IoT Management Meta-heuristics Precision Agriculture System Resilience

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 << < 52 53 54 55 56 57 58 59 60 61 > >>

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：