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

10,908 篇 会议
230 篇 期刊文献
40 册 图书
3 篇 学位论文

馆藏范围

11,181 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

6,677 篇 工学
- 6,107 篇 计算机科学与技术...
- 2,914 篇 软件工程
- 1,181 篇 电气工程
- 1,067 篇 信息与通信工程
- 482 篇 电子科学与技术（可...
- 358 篇 控制科学与工程
- 176 篇 仪器科学与技术
- 152 篇 机械工程
- 117 篇 动力工程及工程热...
- 113 篇 生物医学工程（可授...
- 101 篇 生物工程
- 87 篇 光学工程
- 86 篇 建筑学
- 68 篇 土木工程
- 68 篇 网络空间安全
- 65 篇 化学工程与技术
- 61 篇 材料科学与工程（可...
- 58 篇 安全科学与工程
1,468 篇 理学
- 976 篇 数学
- 311 篇 物理学
- 156 篇 系统科学
- 140 篇 统计学（可授理学、...
- 136 篇 生物学
- 83 篇 化学
897 篇 管理学
- 647 篇 管理科学与工程(可...
- 306 篇 图书情报与档案管...
- 289 篇 工商管理
145 篇 医学
- 120 篇 临床医学
- 62 篇 基础医学(可授医学...
62 篇 经济学
- 62 篇 应用经济学
56 篇 法学
34 篇 农学
26 篇 教育学
18 篇 文学
11 篇 军事学

主题

1,463 篇 parallel process...
584 篇 computer archite...
553 篇 distributed comp...
534 篇 application soft...
530 篇 computational mo...
528 篇 concurrent compu...
343 篇 hardware
319 篇 graphics process...
308 篇 scalability
307 篇 parallel program...
306 篇 graphics process...
304 篇 computer science
285 篇 runtime
263 篇 big data
260 篇 optimization
255 篇 parallel process...
227 篇 processor schedu...
226 篇 throughput
215 篇 resource managem...
209 篇 bandwidth

机构

31 篇 national laborat...
24 篇 science and tech...
21 篇 department of co...
19 篇 national laborat...
18 篇 university of ch...
17 篇 school of comput...
17 篇 institute of com...
16 篇 intel corporatio...
15 篇 college of compu...
15 篇 school of comput...
15 篇 georgia inst tec...
15 篇 barcelona superc...
14 篇 school of comput...
14 篇 chinese acad sci...
14 篇 department of co...
13 篇 tsinghua univ de...
13 篇 ibm thomas j. wa...
13 篇 cent s univ sch ...
13 篇 college of compu...
13 篇 ohio state univ ...

作者

16 篇 badia rosa m.
16 篇 liu jie
15 篇 wang guojun
15 篇 yijie wang
15 篇 a. choudhary
14 篇 anon
13 篇 jun wang
13 篇 koldehofe boris
13 篇 mencagli gabriel...
13 篇 prodan radu
13 篇 wang yijie
13 篇 kurt rothermel
12 篇 fahringer thomas
12 篇 dongsheng li
12 篇 zomaya albert y.
12 篇 navaux philippe ...
12 篇 yong dou
11 篇 fernandes luiz g...
11 篇 guangwen yang
11 篇 dou yong

语言

11,052 篇 英文
95 篇 其他
35 篇 中文
2 篇 俄文
2 篇 土耳其文
1 篇 德文

检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"

共 11181 条记录，以下是4471-4480 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：

Automatic Generation of Optimized Workflow for distributed Computations on Large-Scale Matrices 12

Automatic Generation of Optimized Workflow for Distributed C...

引用

12th international conference on Service-Oriented Computing (ICSOC)

作者： Sabry, Farida Erradi, Abdelkarim Nassar, Mohamed Malluhi, Qutaibah M. Qatar Univ KINDI Ctr Comp Res Doha Qatar

ISBN: (纸本)9783662453919;9783662453902

Efficient evaluation of distributed computation on arge-scale data is prominent in modern scientific computation;especially analysis of big data, image processing and data mining applications. This problem is particularly challenging in distributed environments such as campus clusters, grids or clouds on which the basic computation routines are offered as web/cloud services. In this paper, we propose a locality-aware workflow-based solution for evaluation of large-scale matrix expressions in a distributed environment. Our solution is based on automatic generation of BPEL workflows in order to coordinate long running, asynchronous and parallel invocation of services. We optimize the input expression in order to maximize parallel execution of independent operations while reducing the matrix transfer cost to a minimum. Our approach frees the end-user of the system from the burden of writing and debugging lengthy BPEL workflows. We evaluated our solution on realistic mathematical expressions executed on large-scale matrices distributed on multiple clouds.

关键词： location-aware optimization distributed computations BPEL workflows large-scale matrices

来源：评论

学校读者我要写书评

暂无评论

distributed keyword search over RDF via MapReduce

Distributed keyword search over RDF via MapReduce

引用

11th international conference on Semantic Web: Trends and Challenges, ESWC 2014

作者： De Virgilio, Roberto Maccioni, Antonio Dipartimento di Ingegneria Universitá Roma Tre Rome Italy

ISBN: (纸本)9783319074429

Non expert users need support to access linked data available on the Web. To this aim, keyword-based search is considered an essential feature of database systems. The distributed nature of the Semantic Web demands query processing techniques to evolve towards a scenario where data is scattered on distributed data stores. Existing approaches to keyword search cannot guarantee scalability in a distributed environment, because, at runtime, they are unaware of the location of the relevant data to the query and thus, they cannot optimize join tasks. In this paper, we illustrate a novel distributed approach to keyword search over RDF data that exploits the MapReduce paradigm by switching the problem from graph-parallel to data-parallel processing. Moreover, our framework is able to consider ranking during the building phase to return directly the best (top-k) answers in the first (k) generated results, reducing greatly the overall computational load and complexity. Finally, a comprehensive evaluation demonstrates that our approach exhibits very good efficiency guaranteeing high level of accuracy, especially with respect to state-of-the-art competitors. © 2014 Springer international Publishing.

关键词： MapReduce

来源：评论

学校读者我要写书评

暂无评论

Image registration techniques using parallel computing in multicore environment and its applications in medical imaging: An overview 5

Image registration techniques using parallel computing in mu...

引用

5th IEEE international conference on Computer and Communication Technology, ICCCT 2014

作者： Saxena, Sanjay Sharma, Shiru Sharma, Neeraj Varanasi UP India

ISBN: (纸本)9781479967575

Image Registration is the key step of Image processing as it is the process to locate most accurate relative orientation among two or more images, captured at the same or different times by distinguishable or indistinguishable sensors to increase the information content. For speed optimization of Image Registration, There have been developed numerous approaches till now based on CPU platforms, GPU, CUDA Programming Models etc. Purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods based on parallel computing in Multi core architecture. Another considerable intention of this paper is to describe the various applications of image registration using parallel computing in Medical imaging as it can be applied for different modalities of medical images. © 2014 IEEE.

关键词： Image registration

来源：评论

学校读者我要写书评

暂无评论

Simulation speedup of ns-3 using checkpoint and restore 14

Simulation speedup of ns-3 using checkpoint and restore

引用

2014 Workshop on ns-3, WNS3 2014

作者： Harrigan, Kyle Riley, George Georgia Tech Research Institute Atlanta GA United States Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA United States

ISBN: (纸本)9781450330039

Given that large-scale network simulations are a significant part of active research [6], and that such simulations are known to be computationally and resource intensive, it is still of interest to find innovative ways to achieve faster execution times and to more efficiently provide data and results for the researcher. While utilization of parallel programming techniques and frameworks such as MPI, CUDA, and OpenCL are valid approaches and very useful in speeding up computations, few of these techniques seek to reduce repetitive, uninteresting, or non-changing segments of simulation runs which are unnecessarily repeated, for instance during initialization, and which are not of interest to the end result being studied. Recent advances in process checkpointing utilities, such as distributed Multithreaded Checkpointing (DMTCP) [1], which support practical user-space checkpointing of a wide variety of distributed, multithreaded applications and support the use of important libraries such as MPI, enable innovative techniques for achieving computational savings and provide the potential for a more generic mechanism of moving simulations forward and backward in time efficiently We present an approach and prototype module for ns-3 which provides an API for checkpointing running ns-3 applications at arbitrary times, restoring these applications to a running state, and for modifying parameters of the restored simulation before process continuation.

关键词： parallel programming

来源：评论

学校读者我要写书评

暂无评论

Efficient parallel Implementation of Morphological Operation on GPU and FPGA

Efficient Parallel Implementation of Morphological Operation...

引用

IEEE international conference on Security, Pattern Analysis, and Cybernetics (SPAC)

作者： Li, Teng Dou, Yong Jiang, Jingfei Gao, Jing Natl Univ Def & Technol Natl Lab Parallel & Distributed Proc Changsha Hunan Peoples R China AIR CHINA LTD Informat Management Dept Beijing Peoples R China

ISBN: (纸本)9781479953530

Morphological operation constitutes one of a powerful and versatile image and video applications applied to a wide range of domains, from object recognition, to feature extraction and to moving objects detection in computer vision where real-time and high-performance are required. However, the throughput of morphological operation is constrained by the convolutional characteristic. In this paper, we analysis the parallelism of morphological operation and parallel implementations on the graphics processing unit (GPU), and field programming gate array (FPGA) are presented. For GPU platform, we propose the optimized schemes based on global memory, texture memory and shared memory, achieving the throughput of 942.63 Mbps with 3x3 structuring element. For FPGA platform, we present an optimized method based on the traditional delay-line architecture. For 3x3 structuring element, it achieves a throughput of 462.64 Mbps.

关键词： Morphological operation Computer vision GPU FPGA

来源：评论

学校读者我要写书评

暂无评论

international Workshops on parallel processing, Euro-Par 2014

International Workshops on Parallel Processing, Euro-Par 201...

引用

The proceedings contain 48 papers. The special focus in this conference is on parallel processing. The topics include: On parallelization of the openFOAM-based solver for the heat transfer in electrical power cables;CPU and GPU performance of large scale numerical simulations in geophysics;parallelizing a CAD model processing tool from the automotive industry;parallelization of a tridimensional finite element program for structural behaviour analysis;data parallelism in traffic control tables with arrival information;parallel shared-memory multi-objective stochastic search for competitive facility location;automata-based dynamic data processing for clouds;fast parallel connected components algorithms on GPUs;concurrent data structures in architectures with limited shared memory support;non-linear iterative optimization method for locating particles using HPC techniques;interactive tuning of biological analysis pipelines using iterative processing;the role of trusted relationships on content spread in distributed online social networks;hierarchical approach for green workload management in distributed data centers;the impact of routing attacks on pastry-based P2P online social networks;SLA-based cloud security monitoring;a survey on parallel and distributed multi-agent systems;resolving conflicts between multiple competing agents in parallel simulations;programmability and performance of parallel ECS-based simulation of multi-agent exploration models;exploiting D-mason on parallel platforms;reproducible experiments in parallel computing;a study of current practices in parallel computing and an automated performance-aware approach to reliability transformations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Efficient Memory Model for Implementing Image Resizing Algorithms in a distributed Environment 16

An Efficient Memory Model for Implementing Image Resizing Al...

引用

16th UKSim-AMSS international conference on Computer Modelling and Simulation (UKSim)

作者： Ali, Syed Hayat, Liaqat Ajman Univ Sci & Technol Coll Informat Technol Ajman U Arab Emirates Yanbu Ind Coll Elect & Instrumentat Engn Technol Yanbu Saudi Arabia

ISBN: (纸本)9781479949236

Image resizing algorithms are a classic case of algorithms involving local operations over a region of pixels in an image. The objective is to produce a reduced or enlarged image while maintaining original information content or minimizing the mean square error between corresponding pixels of original and resized images. Most resizing algorithms rely on pixel values within a pre-defined neighborhood of a pixel in the original image to compute pixel values in target images. High frequency or high energy pixel regions in an image are more prone to distortions/errors in the resized image. Content-aware algorithms minimize this impact at the cost of more computational complexity and cost. parallel/distributed implementations of such algorithms require an efficient methodology of image data partitioning to minimize interdependency of the processing units and/or memory storage to avoid shared memory access bottleneck. A restricted shared memory model is described herein that is well-tailored for most of the computational techniques used in image resizing algorithms. Implementation results are described for some well-known algorithms that demonstrate the suitability of the model and its scalability to cater for large image sizes.

关键词： Image resizing distributed processing restricted shared memory model

来源：评论

学校读者我要写书评

暂无评论

parallel and distributed Computing, applications and Technologies, PDCAT Proceedings

Parallel and Distributed Computing, Applications and Technol...

引用

14th international conference on parallel and distributed Computing, applications and Technologies, PDCAT 2013

ISBN: (纸本)9781479924189

The proceedings contain 56 papers. The topics discussed include: nested atomic sections with thread escape: an operational semantics;RDF data query and management method based on HBase and structure index in railway sensor application;SimpleLock: fast and accurate hybrid data race detector;improving blocking operation support in Intel TBB;implementation of a cloud IaaS with dynamic resource allocation method using OpenStack;automatic knowledge extraction supported by semantic enrichment in medical records;study on quantum parallel processing by adiabatic quantum computation in Simon problem;CADM: a centralized administration and dynamic monitoring framework for network intrusion detection based on virtualization;cHPP controller: a high performance hyper-node hardware accelerator;an ad-hoc method with genetic algorithm for printed circuit board assembly optimization on the sequential pick-and-place machine;and HRUL: a hardware assisted recorder for user-level application.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High-productivity Framework on GPU-rich Supercomputers for Operational Weather Prediction Code ASUCA 14

High-productivity Framework on GPU-rich Supercomputers for O...

引用

international conference on High Performance Computing, Networking, Storage and Analysis

作者： Shimokawabe, Takashi Aoki, Takayuki Onodera, Naoyuki Tokyo Inst Technol Meguro Ku 2-12-1 Ookayama Tokyo Japan

ISBN: (纸本)9781479955008

The weather prediction code demands large computational performance to achieve fast and high-resolution simulations. Skillful programming techniques are required for obtaining good parallel efficiency on GPU supercomputers. Our framework-based weather prediction code ASUCA has achieved good scalability with hiding complicated implementation and optimizations required for distributed GPUs, contributing to increasing the maintainability;ASUCA is a next-generation highresolution meso-scale atmospheric model being developed by the Japan Meteorological Agency. Our framework automatically translates user-written stencil functions that update grid points and generates both GPU and CPU codes. User-written codes are parallelized by MPI with intra-node GPU peer-to-peer direct access. These codes can easily utilize optimizations such as overlapping technique to hide communication overhead by computation. Our simulations on the GPU-rich supercomputer TSUBAME 2.5 at the Tokyo Institute of Technology have demonstrated good strong and weak scalability achieving 209.6 TFlops in single precision for our largest model using 4,108 NVIDIA K20X GPUs.

关键词： application program interfaces geophysics computing graphics processing units mainframes message passing parallel machines peer-to-peer computing CPU codes GPU codes GPU-rich supercomputer TSUBAME 2.5 Japan Meteorological Agency MPI NVIDIA K20X GPU Tokyo Institute of Technology high-productivity framework intranode GPU peer-to-peer direct access next-generation high resolution meso-scale atmospheric model operational weather prediction code ASUCA parallel efficiency skillful programming techniques user-written codes Atmospheric modeling Computational modeling Graphics processing units Mathematical model Numerical models Programming Weather forecasting message passing weather forecasting Graphics processing Unit Atmospheric models Mainframes Application programming interfaces geophysics computing Peer to peer computing mannose phosphate isomerase remote procedure calls parallel machines Computational modeling numerical models supercomputer Programming

来源：评论

学校读者我要写书评

暂无评论

distributed graph summarization 14

Distributed graph summarization

引用

23rd ACM international conference on Information and Knowledge Management, CIKM 2014

作者： Liu, Xingjie Tian, Yuanyuan He, Qi Lee, Wang-Chien McPherson, John Square Inc. United States IBM Almaden Research Center United States LinkedIn Inc. United States Pennsylvania State University United States

ISBN: (纸本)9781450325981

Graph has been a ubiquitous and essential data representation to model real world objects and their relationships. Today, large amounts of graph data have been generated by various applications. Graph summarization techniques are crucial in uncovering useful insights about the patterns hidden in the underlying data. However, all existing works in graph summarization are single-process solutions, and as a result cannot scale to large graphs. In this paper, we introduce three distributed graph summarization algorithms to address this problem. Experimental results show that the proposed algorithms can produce good quality summaries and scale well with increasing data sizes. To the best of our knowledge, this is the first work to study distributed graph summarization methods. Copyright 2014 ACM.

关键词： graph summary distributed data processing graph processing

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 << < 444 445 446 447 448 449 450 451 452 453 > >>

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：