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

23,957 篇 会议
411 篇 期刊文献
285 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

24,655 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

14,508 篇 工学
- 13,378 篇 计算机科学与技术...
- 5,960 篇 软件工程
- 2,508 篇 电气工程
- 2,169 篇 信息与通信工程
- 916 篇 控制科学与工程
- 531 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
2,958 篇 理学
- 2,035 篇 数学
- 450 篇 物理学
- 396 篇 生物学
- 343 篇 系统科学
- 313 篇 统计学（可授理学、...
- 146 篇 化学
2,039 篇 管理学
- 1,503 篇 管理科学与工程(可...
- 712 篇 工商管理
- 668 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
154 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

2,979 篇 distributed comp...
1,753 篇 parallel process...
1,702 篇 concurrent compu...
1,630 篇 cloud computing
1,226 篇 computational mo...
1,084 篇 computer archite...
949 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...
20 篇 shanghai jiao to...
20 篇 department of co...
20 篇 school of comput...

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

24,330 篇 英文
224 篇 其他
87 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 24655 条记录，以下是511-520 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：

Optimal Placement of distributed Energy Resources and Shunt Capacitors with Consideration of Existing On-line tap changer using Honey Badger Optimization 3

Optimal Placement of Distributed Energy Resources and Shunt ...

引用

3rd international conference on advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Iyer, A.A. Patel, C.D. Institute of Technology Electrical Engineering Department Nirma University Ahmedabad India

ISBN: (纸本)9781665494007

In this study, the optimal allocation of distributed energy resources (DERs) and shunt capacitors (SCs) in the distribution network (DN) is presented. Furthermore, the effect of existing voltage regulator (VR) device such as on-line tap changer (OLTC) on the optimal deployment of DERs is examined. In this study, the objective functions considered are the cost of annual energy loss (CAEL) and deviation of node voltage. To solve the considered allocation problem, newly published heuristic optimization technique, Honey Badger Optimization (HBO), is applied. The results are obtained for the real-life India 108 bus radial distribution system. These results clearly show that more payback in terms of reduced CAEL is obtained upon the utilization of existing VR devices. The obtained results are also compared with the results presented by other optimization methods in the literature. The comparitive analysis indicates the superiority of the HBO algorithm over others, especially in terms of the reduced CAEL. © 2023 IEEE.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Joint Resource Placement and Service Replica Placement Scheme in Mobile Edge computing 21

Joint Resource Placement and Service Replica Placement Schem...

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： Woldeyes, Surafel Kifetew Zhang, Yongmin Wang, Wei Li, Zhaohui Central South University School of Computer Science and Engineering Changsha410083 China

ISBN: (纸本)9798350329223

Optimal resource placement and service placement are key factors for resource utilization and service availability in mobile edge computing (MEC) systems. However, efficiently utilizing the resources of MEC servers for service replica placement becomes a significant challenge due to the servers' limited resource capacity. To overcome this challenge, in this paper, we propose a comprehensive model for jointly addressing resource placement and service replica placement within the MEC system. The proposed model considers various factors, including the limited capacity of edge servers, the presence of service replicas, server failure probabilities, and the heterogeneous resource demand of services in terms of CPU, network bandwidth, and storage capacities. We then formulated the joint resource placement and service replica placement problem as a multi-objective optimization problem from the perspective of minimizing server resource waste, reducing server energy consumption, and ensuring high service availability. To solve this problem, we first proposed a resource-aware algorithm for the initialization process, which generates high-quality initial solutions that satisfy the server resource constraints. Then we propose an improved non-dominated sorting genetic algorithm II with two-phase chromosome representation to find a suitable placement solution. Evaluation results show the superiority of our approach compared with other benchmark algorithms in terms of minimizing service unavailability, resource waste, and energy consumption. © 2023 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Service-oriented Intelligent OODA Loop 26

Service-oriented Intelligent OODA Loop

引用

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

作者： Zhao, Yan Wen, Pengcheng Bai, Linting Liu, Xinzhi Wang, Zhonghua Wu, Na Technique Research Institute Avic Xi'an Aeronautics Computing Xi'an China

ISBN: (纸本)9798350345865

The OODA (Observe, Orient, Decide, Act) loop is a widely used decision-making model in various domains, including military operations, business strategy and cybersecurity. With the emergence of intelligent technologies, the intelligent OODA loop has gained increasing attention in recent years. However, the implementation of the intelligent OODA loop remains a challenging task as the intelligent algorithms introduce additional complexity in service implementation and service communication. To address this issue, this paper proposes to employ a service-oriented architecture for implementing the intelligent OODA loop. The proposed service-oriented intelligent OODA loop comprises several key components, including task decomposition, service description definition, intelligent service communication design, security and flow management strategies, and integration of necessary intelligent hardware. The proposed service-oriented intelligent OODA loop has the potential to provide significant benefits in improving speed, accuracy, scalability, cost-effectiveness and adaptability. © 2023 IEEE.

关键词： Cost effectiveness

来源：评论

学校读者我要写书评

暂无评论

Time Fairness-Based Application Offloading in Mobile Edge computing with Individual QoS Guarantee 21

Time Fairness-Based Application Offloading in Mobile Edge Co...

引用

作者： Xie, Mengwei Cui, Lizhen Liu, Jianxiong Guo, Wei Li, Feng Shandong University School of Computer Science and Technology Qindao China Shandong University School of Software Jinan China Aerospace Science & Industry Network Information Development Co. Ltd. Beijing China

ISBN: (纸本)9798350329223

In the area of Mobile Edge computing (MEC), how to offload applications with QoS and fairness guarantees has been attracting increasing attention. Most existing application offloading strategies focus on reducing the average completion time of the applications to fulfill the global QoS requirement. However, when there are a huge number of mobile users for the applications, these strategies cannot guarantee the QoS for the individual users;therefore, the mobile users' experiences differ significantly, resulting in unfairness among the users. To address this problem, this paper presents a time fairness-based application offloading strategy for individual mobile users with individual QoS guarantees. This strategy is designed to achieve two primary objectives. Firstly, it seeks to assess the suitability of offloading each application to edge servers by evaluating its completion time, aiming to maximize the number of applications meeting individual QoS time requirements. Secondly, for applications that meet individual QoS time requirements, this strategy ensures time fairness among multiple users by minimizing the variance between application completion times and individual QoS time requirements. The empirical validation presented in this paper provides robust evidence of the effectiveness of our strategy, surpassing existing approaches, with a particular emphasis on achieving time fairness. © 2023 IEEE.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance computing Applications 23

Auto-HPCnet: An Automatic Framework to Build Neural Network-...

引用

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

作者： Dong, Wenqian Kestor, Gokcen Li, Dong Florida Int Univ Miami FL 33199 USA Univ Calif Merced Miami FL 95343 USA Pacific Northwest Natl Lab Richland WA 99352 USA

ISBN: (纸本)9798400701559

High-performance computing communities are increasingly adopting Neural Networks (NN) as surrogate models in their applications to generate scientific insights. Replacing an execution phase in the application with NN models can bring significant performance improvement. However, there is a lack of tools that can help domain scientists automatically apply NN-based surrogate models to HPC applications. We introduce a framework, named Auto-HPCnet, to democratize the usage of NN-based surrogates. Auto-HPCnet is the first end-to-end framework that makes past proposals for the NN-based surrogate model practical and disciplined. Auto-HPCnet introduces a workflow to address unique challenges when applying the approximation, such as feature acquisition and meeting the application-specific constraint on the quality of final computation outcome. We show that Auto-HPCnet can leverage NN for a set of HPC applications and achieve 5.50x speedup on average (up to 16.8x speedup and with data preparation cost included) while meeting the application-specific constraint on the final computation quality.

关键词： Scientific Machine Learning Neural Architecture Search Surrogate Model Construction Bayesian Optimization

来源：评论

学校读者我要写书评

暂无评论

Optimizing Transformer Training Based on Computation and Accessing Memory Features with Deep Learning Processor 29

Optimizing Transformer Training Based on Computation and Acc...

引用

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

作者： Lei, Zhou Fang, Qin Qian, Jingfeng Chen, Shengbo Xu, Qingguo Yang, Ninghua Shanghai University School of Computer Engineering and Science Shanghai200444 China Ningbo Zhongke Intelligent Computing Technology Co. Ltd Zhejiang315100 China

ISBN: (纸本)9798350330717

The Transformer model, which has significantly advanced natural language processing and computer vision, overcomes the limitations of recurrent neural networks and convolutional neural networks. However, it faces challenges with computational efficiency and memory management due to complex computations and variable-length inputs. Despite research efforts, these issues persist. This paper presents a novel optimization of the Transformer model, following an indepth analysis of its computational graph structure. Firstly, we utilize Deep computing Unit (DCU) as our hardware platform. Secondly, we optimize element-wise and reduction operators through operator fusion and rewriting. Thirdly, we develop a fine-grained memory management algorithm using a greedy strategy. As a result, the training speed of the Transformer model increases by 1.2x - 1.4x without compromising accuracy. © 2023 IEEE.

关键词： computation optimization DCU memory management Transfomer

来源：评论

学校读者我要写书评

暂无评论

LIBRA: Harvesting Idle Resources Safely and Timely in Serverless Clusters 23

LIBRA: Harvesting Idle Resources Safely and Timely in Server...

引用

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

作者： Yu, Hanfei Fontenot, Christian Wang, Hao Li, Jian Yuan, Xu Park, Seung-Jong Louisiana State Univ Baton Rouge LA 70803 USA SUNY Binghamton Binghamton NY USA Univ Louisiana Lafayette Lafayette LA 70504 USA

ISBN: (纸本)9798400701559

Serverless computing has been favored by users and infrastructure providers from various industries, including online services and scientific computing. Users enjoy its auto-scaling and ease-of-management, and providers own more control to optimize their service. However, existing serverless platforms still require users to pre-define resource allocations for their functions, leading to frequent misconfiguration by inexperienced users in practice. Besides, functions' varying input data further escalate the gap between their dynamic resource demands and static allocations, leaving functions either over-provisioned or under-provisioned. This paper presents Libra, a safe and timely resource harvesting framework for multi-node serverless clusters. Libra makes precise harvesting decisions to accelerate function invocations with harvested resources and jointly improve resource utilization by profiling dynamic resource demands and availability proactively. Experiments on OpenWhisk clusters with real-world workloads show that Libra reduces response latency by 39% and achieves 3x resource utilization compared to state-of-the-art solutions.

关键词： serverless computing resource harvesting

来源：评论

学校读者我要写书评

暂无评论

Developing Scalable and Fault Tolerant distributed Architecture for Big Unstructured Data Systems 6

Developing Scalable and Fault Tolerant Distributed Architect...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Saranya, G. Kumaran, K. Pratheep, V. Dhanush, S.R. School of Computer Science and Engineering Vellore Institue of Technology Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

In the era of big data, efficiently processing and retrieving insights from unstructured data presents a critical challenge. This paper introduces a scalable leader-worker distributed data pipeline designed to handle large sets of unstructured data blobs. Leveraging data parallelism, the system distributes workload across worker nodes, ensuring high performance for embarrassingly parallel tasks with minimal inter-process communication. Fault tolerance is achieved through an optimized next-in-line leader re-election strategy, addressing cascading failures and mitigating the thundering herd effect. The use of Apache Zookeeper for service discovery ensures seamless coordination within the cluster while maintaining a loosely coupled architecture for enhanced scalability. Google Protocol Buffers are employed for secure data transmission, offering tamper resistance against eavesdropping and man-in-the-middle attacks. The system also integrates the TF-IDF algorithm for efficient information retrieval, demonstrating the ability to achieve data parallelism while preserving task uniformity across nodes. Performance evaluation highlights significant reductions in response times with increasing cluster size, validating the system’s scalability, efficiency, and robustness. The proposed architecture is well-suited for real-world applications requiring secure, fault-tolerant, and scalable solutions for unstructured data analysis. © 2025 IEEE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments 29th

SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache...

引用

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

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

ISBN: (纸本)9783031396977;9783031396984

Edge computing emerges as a stable and efficient solution for IoT data processing and analytics. With big data distributed engines to be deployed on edge infrastructures, users seek solutions to evaluate the performance of their analytics queries. In this paper, we introduce SparkEdgeEmu, an interactive framework designed for researchers and practitioners who need to inspect the performance of Spark analytic jobs without the edge topology setup burden. SparkEdgeEmu provides: (i) parameterizable template-based use cases for edge infrastructures, (ii) real-time emulated environments serving ready-to-use Spark clusters, (iii) a unified and interactive programming interface for the framework's execution and query submission, and (vi) utilization metrics from the underlying emulated topology as well as performance and quantitative metrics from the deployed queries. We evaluate the usability of our framework in a smart city use case and extract useful performance hints for the Apache Spark code execution.

关键词： Edge computing Internet of Things Big Data

来源：评论

学校读者我要写书评

暂无评论

HPopt: A Hybrid parallel Optimization Scheduling Approach for distributed DNN Training 11

HPopt: A Hybrid Parallel Optimization Scheduling Approach fo...

引用

11th international conference on Advanced Cloud and Big Data, CBD 2023

作者： Weng, Caishan Li, Xinyang Zhang, Jinghui Yu, Hang Fujian Branch of China Telecom Corporation Limited Fuzhou China Southeast University School of Computer Science and Engineering Nanjing China

ISBN: (纸本)9798350345346

Recent deep learning relies on large-scale training of Deep Neural Networks (DNNs), which can be time-consuming and computationally intensive. To improve DNN training efficiency, GPU clusters have been used to perform distributed training. However, distributed training has many limitations, including synchronization overhead in data parallelism, computational bottlenecks in model parallelism, and memory constraints in pipeline parallelism, all of which hinder training efficiency. Recently, hybrid parallel distributed training emerged as a solution. However, it doesn't optimize the size of pipeline parallelism and data parallelism to further improve training efficiency. Our paper introduces HPopt, a method that combines data-parallel and pipeline-parallel training to enhance DNN training efficiency. We've designed a heuristic algorithm to improve scheduling decisions in hybrid parallelism. Experimental results on CIFAR-10 show that HPopt is 1.5 times faster than data parallelism and 4.3 times faster than Torchgpipe. © 2023 IEEE.

关键词： Deep neural networks

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 << < 48 49 50 51 52 53 54 55 56 57 > >>

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：