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

23,943 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

24,639 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

24,373 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 24639 条记录，以下是381-390 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：

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

A parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks 23

A Parallel Framework for Efficiently Updating Graph Properti...

引用

24th international conference on distributed computing and Networking (ICDCN)

作者： Khanda, Arindam Das, Sajal K. Missouri Univ Sci & Technol Rolla MO 65409 USA

ISBN: (纸本)9781450397964

Graph queries on large networks leverage the stored graph properties to provide faster results. Since real-world graphs are mostly dynamic, i.e., the graph topology changes over time, the corresponding graph attributes also change over time. In certain situations, recompiling or updating earlier properties is necessary to maintain the accuracy of a response to a graph query. Here, we first propose a generic framework for developing parallel algorithms to update graph properties on large dynamic networks. We use our framework to develop algorithms for updating Single Source Shortest Path (SSSP) and Vertex Color. Then we propose applications of the developed algorithms in Unmanned Aerial Vehicle (UAV) based delivery systems under time-varying dynamics. Finally, we implement our SSSP and vertex color update algorithms for Nvidia GPU architecture and show empirically that the developed algorithms can update properties in large dynamic networks faster than the state-of-the-art techniques.

关键词： datasets neural networks gaze detection text tagging

来源：评论

学校读者我要写书评

暂无评论

Towards the Acceleration of the Sparse Blossom Algorithm for Quantum Error Correction

Towards the Acceleration of the Sparse Blossom Algorithm for...

引用

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

作者： Venere, Marco Guerrini, Valentino Branchini, Beatrice Conficconi, Davide Sciuto, Donatella Santambrogio, Marco D. Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy

ISBN: (纸本)9798350364613;9798350364606

Quantum computing is a new computing paradigm that exploits laws of quantum mechanics to achieve an exponential speedup compared to classical logic. However, noise strongly limits current quantum hardware, reducing achievable performance. Quantum Error Correction (QEC) techniques are a valuable approach to reduce the effects of noise. Nevertheless, the high computational complexity of QEC algorithms is incompatible with the tight time constraints of quantum devices. Thus, hardware acceleration is paramount to achieving real-time QEC. This work represents the first step in the FPGA acceleration of the Sparse Blossom Algorithm (SBA), a state-of-the-art decoding algorithm for QEC. We provide a performance profiling and a design methodology for the hardware development of the SBA. We evaluate the execution time, and energy efficiency of our solution, attaining up to 2.75x speedup and 9.59x improvement in energy efficiency compared to the software baseline.

关键词： Quantum Error Correction Quantum computing Reconfigurable Architectures

来源：评论

学校读者我要写书评

暂无评论

A Scalable distributed Computation Framework for Tackling Underutilization and Ad-Hoc Computations in Heterogenous Clusters 2nd

A Scalable Distributed Computation Framework for Tackling Un...

引用

2nd international conference on Deep Sciences for computing and Communications, IconDeepCom 2023

作者： Nambiar, Vishant Suresh, K. Department of Computational Intelligence SRM Institute of Science and Technology TN Chennai600071 India

ISBN: (纸本)9783031689079

Our proposed distributed computation framework addresses the issue of underutilized computing resources in institutions, companies, and communities, by providing a novel automated and efficient solution for ad-hoc distributed computing that is easy to use and utilizes several heterogenous semi-idle computing devices to provide large scale distributed parallelism, managing all setup, communication, resource allocation, and fault tolerance without any secondary input from the user. The framework will in an automated manner, find appropriate idle resources, break up the job into smaller jobs that can be balanced across several resources, manage communication and synchronization between these jobs and computational nodes, and return the result to the user. While there have been advances at tackling underutilization, they have been largely constricted to specific environments lacking genericity, complex to employ and not suitable for ad-hoc natured tasks. The framework novelly provides an extremely easy to use interface for cluster setup and job submission, ensures that the original responsibilities of the nodes are not disturbed, and further provides resumability of affected jobs, smart distributed parallelism, inter-node task balancing, and reliability for the user. The efficiency of the framework is evaluated, and it is demonstrated to achieve over 40% faster task execution and far better resource utilization across a cluster. Overall, our framework provides an effective and efficient solution for utilizing underutilized computing resources for ad-hoc distributed computing tasks. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Cluster computing

来源：评论

学校读者我要写书评

暂无评论

parallel Optimization for Robotics: An Undergraduate Introduction to GPU parallel Programming and Numerical Optimization Research

Parallel Optimization for Robotics: An Undergraduate Introdu...

引用

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

作者： Plancher, Brian Columbia Univ Barnard Coll New York NY 10027 USA

ISBN: (纸本)9798350364613;9798350364606

While parallel programming, particularly on graphics processing units (GPUs), and numerical optimization hold immense potential to tackle real-world computational challenges across disciplines, their inherent complexity and technical demands often act as daunting barriers to entry. This, unfortunately, limits accessibility and diversity within these crucial areas of computer science. To combat this challenge and ignite excitement among undergraduate learners, we developed an application-driven course, harnessing robotics as a lens to demystify the intricacies of these topics making them tangible and engaging. Our course's prerequisites are limited to the required undergraduate introductory core curriculum, opening doors for a wider range of students. Our course also features a large final-project component to connect theoretical learning to applied practice. In our first offering of the course we attracted 27 students without prior experience in these topics and found that an overwhelming majority of the students fell that they learned both technical and soft skills such that they felt prepared for future study in these fields.

关键词： CS Education GPU Programming Numerical Optimization parallel computing Robotics Undergraduate Education

来源：评论

学校读者我要写书评

暂无评论

On the Effectiveness of Unified Memory in Multi-GPU Collective Communication 33

On the Effectiveness of Unified Memory in Multi-GPU Collecti...

引用

33rd Euromicro international conference on parallel, distributed, and Network-Based Processing, PDP 2025

作者： Strina, Riccardo Lavore, Ian Di Dio Santambrogio, Marco Papka, Michael Lan, Zhiling Politecnico di Milano Italy Argonne National Laboratory United States University of Illinois Chicago United States

ISBN: (纸本)9798331524937

Modern supercomputers are becoming increasingly dense with accelerators. Industry leaders offer multi-GPU architectures with high interconnection bandwidth between the devices to match the requirements of modern workloads. While those technologies advance, it is up to the programmer to successfully exploit them. Recognizing this burden, multiple abstractions have been built. We focus on the NVIDIA Collective Communication Library (NCCL) and Unified Memory (UM). The former provides MPI-like directives integrated within the GPU runtime, allowing lower latencies and increasing the bandwidth over previous approaches. The latter simplifies the programming paradigm, offering a unified virtual address space. Moreover, it enables memory oversubscription, drastically reducing the efforts towards handling larger problems without completely restructuring the codebase. This work provides the first joint analysis of NCCL and UM from single-node multi-GPU architectures to a production supercomputer. We explore all the available collective communication directives concerning their power requirements and overall throughput. Moreover, we study the effects of various hyperparameters, e.g., message sizes, oversubscription level, and memory advice, on the overall obtainable performance. Our findings showcase how using UM brings negligible increased energy consumption;moreover, in distributed settings, other restricting factors, such as network bottlenecks, surpass the overhead introduced by UM's page-eviction mechanisms. © 2025 IEEE.

关键词： distributed cloud

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 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：