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

1,343 篇 会议
44 篇 期刊文献
18 册 图书

馆藏范围

1,405 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,075 篇 工学
- 1,024 篇 计算机科学与技术...
- 463 篇 软件工程
- 189 篇 电气工程
- 99 篇 信息与通信工程
- 49 篇 控制科学与工程
- 34 篇 机械工程
- 30 篇 电子科学与技术（可...
- 19 篇 生物工程
- 13 篇 动力工程及工程热...
- 13 篇 安全科学与工程
- 12 篇 网络空间安全
- 11 篇 仪器科学与技术
- 10 篇 化学工程与技术
- 9 篇 交通运输工程
- 9 篇 生物医学工程（可授...
- 8 篇 石油与天然气工程
- 6 篇 力学（可授工学、理...
222 篇 理学
- 156 篇 数学
- 32 篇 系统科学
- 26 篇 生物学
- 22 篇 物理学
- 21 篇 统计学（可授理学、...
- 17 篇 化学
120 篇 管理学
- 84 篇 管理科学与工程(可...
- 46 篇 工商管理
- 44 篇 图书情报与档案管...
16 篇 经济学
- 16 篇 应用经济学
14 篇 法学
- 12 篇 社会学
10 篇 医学
- 8 篇 临床医学
6 篇 教育学
- 6 篇 教育学
5 篇 农学
3 篇 文学
1 篇 军事学

主题

91 篇 distributed comp...
85 篇 parallel process...
70 篇 grid computing
61 篇 cloud computing
49 篇 concurrent compu...
47 篇 computational mo...
46 篇 computer network...
45 篇 distributed comp...
38 篇 parallel computi...
37 篇 scalability
35 篇 computer archite...
31 篇 costs
30 篇 high performance...
30 篇 distributed data...
29 篇 algorithm design...
29 篇 parallel process...
29 篇 hardware
27 篇 computer science
27 篇 application soft...
27 篇 parallel program...

机构

7 篇 department of co...
6 篇 institute of com...
5 篇 oak ridge natl l...
5 篇 department of co...
4 篇 univ warwick dep...
4 篇 natl univ def te...
4 篇 chinese acad sci...
4 篇 oak ridge natl l...
4 篇 department of co...
4 篇 university of te...
3 篇 nanyang technol ...
3 篇 institute of par...
3 篇 school of engine...
3 篇 argonne natl lab...
3 篇 univ calif davis...
3 篇 univ manchester ...
3 篇 key laboratory o...
3 篇 purdue univ sch ...
3 篇 hiroshima univ d...
3 篇 cnrs laas 7 ave ...

作者

7 篇 jiannong cao
6 篇 el-baz didier
6 篇 wang huaimin
6 篇 rothermel kurt
5 篇 jack dongarra
5 篇 yin gang
4 篇 koldehofe boris
4 篇 li maozhen
4 篇 wang tao
4 篇 jeong chang-sung
4 篇 vlassov v
4 篇 kacsuk peter
4 篇 labarta jesus
4 篇 schulze bruno
4 篇 jin hai
4 篇 ramachandran uma...
3 篇 ould-khaoua moha...
3 篇 fahringer thomas
3 篇 taura kenjiro
3 篇 ito yasuaki

语言

1,394 篇 英文
5 篇 其他
4 篇 俄文
1 篇 西班牙文
1 篇 中文

检索条件"任意字段=7th International Symposium on Parallel and Distributed Computing"

共 1405 条记录，以下是161-170 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 review of cloud computing simulation platforms & related environments 7

A review of cloud computing simulation platforms & related e...

引用

7th international Conference on Cloud computing and Services Science, CLOSER 2017

作者： Byrne, James Svorobej, Sergej Giannoutakis, Konstantinos M. Tzovaras, Dimitrios Byrne, P.J. Östberg, Per-Olov Gourinovitch, Anna Lynn, theo Irish Centre for Cloud Computing and Commerce Dublin City University Glasnevin Dublin 9 Ireland Centre for Research and Technology Hellas Information Technologies Institute 6th km Xarilaou-Thermi Thessaloniki57001 Greece Dept. Computing Science and HPC2N Umeå University UmeaSE-901 87 Sweden

ISBN: (纸本)9789897582431

Recent years have seen an increasing trend towards the development of Discrete Event Simulation (DES) platforms to support cloud computing related decision making and research. the complexity of cloud environments is increasing with scale and heterogeneity posing a challenge for the efficient management of cloud applications and data centre resources. the increasing ubiquity of social media, mobile and cloud computing combined with the Internet of things and emerging paradigms such as Edge and Fog computing is exacerbating this complexity. Given the scale, complexity and commercial sensitivity of hyperscale computing environments, the opportunity for experimentation is limited and requires substantial investment of resources both in terms of time and effort. DES provides a low risk technique for providing decision support for complex hyperscale computing scenarios. In recent years, there has been a significant increase in the development and extension of tools to support DES for cloud computing resulting in a wide range of tools which vary in terms of their utility and features. through a review and analysis of available literature, this paper provides an overview and multi-level feature analysis of 33 DES tools for cloud computing environments. this review updates and extends existing reviews to include not only autonomous simulation platforms, but also on plugins and extensions for specific cloud computing use cases. this review identifies the emergence of CloudSim as a de facto base platform for simulation research and shows a lack of tool support for distributed execution (parallel execution on distributed memory systems). ©2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Fog computing

来源：评论

学校读者我要写书评

暂无评论

Exploring the Search Space between Active and Passive Workflow Replication 10

Exploring the Search Space between Active and Passive Workfl...

引用

10th IEEE international Conference on Service-Oriented computing and Applications (SOCA)

作者： Schaefer, David Richard Rothermel, Kurt Tariq, Muhammad Adnan Univ Stuttgart Inst Parallel & Distributed Syst Stuttgart Germany

ISBN: (纸本)9781538613269

Today, workflows are executed in heterogeneous environments, such as the Internet, to automate interactions with services of business partners and other third parties. In such heterogeneous environments, device and communication failures occur frequently. these failures might delay or even stop the workflow executions rendering the workflow unavailable. For ensuring availability, workflow executions are replicated on multiple devices allowing the workflow execution to continue even if some of the devices fail. So far, two workflow replication mechanisms have been proposed: active and passive replication. While active replication incurs high cost in terms of compensation even for failure free executions, passive replication provides lower availability than active replication. In this paper, we propose a new replication mechanism called partition-tolerant replication that combines the benefits of active and passive replication. Our evaluations on OpenStack show that partition-tolerant replication imposes no compensation cost for failure free executions like passive replication while providing availability close to active replication.

关键词： TV Protocols Voting Computer crashes Computational modeling Delays

来源：评论

学校读者我要写书评

暂无评论

Internet of things Out of the Box: Using TOSCA for Automating the Deployment of IoT Environments 7

Internet of Things Out of the Box: Using TOSCA for Automatin...

引用

7th international Conference on Cloud computing and Services Science (CLOSER)

作者： da Silva, Ana C. Franco Breitenbuecher, Uwe Hirmer, Pascal Kepes, Kalman Kopp, Oliver Leymann, Frank Mitschang, Bernhard Steinke, Ronald Univ Stuttgart Inst Parallel & Distributed Syst Stuttgart Germany Univ Stuttgart Inst Architecture Applicat Syst Stuttgart Germany Fraunhofer FOKUS Next Generat Network Infrastruct Berlin Germany

ISBN: (纸本)9789897582431

the automated setup of Internet of things environments is a major challenge due to the heterogeneous nature of the involved physical components (i.e., devices, sensors, actuators). In general, IoT environments consist of (i) physical hardware components, (ii) IoT middlewares that bind the hardware to the digital world, and (iii) IoT applications that interact with the physical devices through the middlewares (e.g., for monitoring). Setting up each of these requires sophisticated means for software deployment. In this paper, we enable such a means by introducing an approach for automated deployment of entire IoT environments using the Topology and Orchestration Specification for Cloud Applications standard. Based on topology models, all components involved in the IoT environment (devices, IoT middlewares, applications) can be set up automatically. Moreover, to enable interchangeability of IoT middlewares, we show how they can be used as a service to deploy them individually and on-demand for separate use cases. this enables provisioning whole IoT environments out-of-the-box. To evaluate the approach, we present three case studies giving insights in the technical details.

关键词： Internet of things TOSCA Application Deployment Device Software

来源：评论

学校读者我要写书评

暂无评论

Topology splitting & matching for multi-cloud deployments 7

Topology splitting & matching for multi-cloud deployments

引用

7th international Conference on Cloud computing and Services Science, CLOSER 2017

作者： Saatkamp, Karoline Breitenbücher, Uwe Kopp, Oliver Leymann, Frank Institute of Architecture of Application Systems University of Stuttgart Stuttgart Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany

ISBN: (纸本)9789897582431

For automating the deployment of applications in cloud environments, a variety of deployment automation technologies have been developed in recent years. these technologies enable specifying the desired deployment in the form of deployment models, which can be automatically executed. However, changing internal or external conditions often lead to strategical decisions that must be reflected in all deployment models of a company's IT. Unfortunately, while creating such deployment models is difficult, adapting them is even harder as typically a variety of technologies must be replaced. In this paper, we present the Split and Match Method that enables splitting a deployment model following a manually specified distribution on the business layer. the method also enables automatically deploying the resulting model without the need for a manual intervention and, thus, significantly eases reflecting strategical decisions on the technical deployment layer. We present a formalization and algorithms to automate the steps of the method. Moreover, we validate the practical feasibility of the presented concepts by a prototype based on the TOSCA standard and the OpenTOSCA ecosystem. ©2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

7th IEEE Workshop parallel/distributed computing and Optimization (PDCO 2017)

Proceedings - 2017 IEEE 31st International Parallel and Dist...

引用

Proceedings - 2017 IEEE 31st international parallel and distributed Processing symposium Workshops, IPDPSW 2017 2017年 441-441页

作者： Danoy, Gregoire El Baz, Didier University of Luxembourg Luxembourg Team CDA LAAS-CNRS France

来源：评论

学校读者我要写书评

暂无评论

computing on many cores

Computing on many cores

引用

Euro-Par Conference / 7th international Workshop on Programming Models and Applications for Multicores and Manycores (PMAM) held in conjunction with the 21st SIGPLAN symposium on Principles and Practice of parallel Programming (PPoPP)

作者： Goossens, Bernard Parello, David Porada, Katarzyna Rahmoune, Djallal UPVD DALI 52 Ave Paul Alduy F-66860 Perpignan 9 France UM2 CNRS UMR 5506 LIRMM 161 Rue Ada F-34095 Montpellier 5 France

this paper presents an alternative method to parallelize programs, better suited to manycore processors than actual operating system-/API-based approaches like OpenMP and MPI. the method relies on a parallelizing hardware and an adapted programming style. It frees and captures the instruction-level parallelism (ILP). A many-core design is presented in which cores are multithreaded and able to fork new threads. the programming style is based on functions. the hardware creates a concurrent thread at each function call. the programming style and the hardware create the conditions to free the ILP, by eliminating the architectural dependences between a call and its continuation after return. We illustrate the method on a sum reduction, a matrix multiplication and a sort. We measure the ILP of the parallel runs and show that it is high enough to feed thousands of cores because it increases with data size. We compare our method to pthread parallelization, showing that (1) our parallel execution is deterministic, (2) our thread management is cheap, (3) our parallelism is implicit, and (4) our method parallelizes functions and loops. Implicit parallelism makes parallel code easy to write and read. Deterministic parallel execution makes parallel code easy to debug.

关键词： computing model deterministic parallelism instruction level parallelism many-core processor multithreading parallelizing core

来源：评论

学校读者我要写书评

暂无评论

JParEnt: parallel entropy decoding for JPEG decompression on heterogeneous multicore architectures 7

JParEnt: Parallel entropy decoding for JPEG decompression on...

引用

作者： Sodsong, Wasuwee Jung, Minyoung Park, Jinwoo Burgstaller, Bernd Yonsei Univ Dept Comp Sci Seoul South Korea

ISBN: (纸本)9781450341967

the JPEG format employs Huffman codes to compress the entropy data of an image. Huffman codewords are of variable length, which makes parallel entropy decoding a difficult problem. To determine the start position of a codeword in the bitstream, the previous codeword must be decoded first. We present JParEnt, a new approach to parallel entropy decoding for JPEG decompression on heterogeneous multicores. JParEnt conducts JPEG decompression in two steps: (1)an efficient sequential scan of the entropy data on the CPU to determine the start-positions (boundaries) of coefficient blocks in the bitstream, followed by (2)a parallel entropy decoding step on the graphics processing unit (GPU). the block boundary scan constitutes a reinterpretation of the Huffman-coded entropy data to determine codeword boundaries in the bitstream. We introduce a dynamic workload partitioning scheme to account for GPUs of low compute power relative to the CPU. this configuration has become common with the advent of SoCs with integrated graphics processors (IGPs). We leverage additional parallelism through pipelined execution across CPU and GPU. For systems providing a unified address space between CPU and GPU, we employ zero-copy to completely eliminate the data transfer overhead. Our experimental evaluation of JParEnt was conducted on six heterogeneous multicore systems: one server and two desktops with dedicated GPUs, one desktop with an IGP, and two embedded systems. For a selection of more than 1000JPEG images, JParEnt outperforms the SIMD-implementation of the libjpeg-turbo library by up to a factor of 4.3x, and the previously fastest JPEG decompression method for heterogeneous multicores by up to a factor of 2.2x. JParEnt's entropy data scan consumes 45% of the entropy decoding time of libjpeg-turbo on average. Given this new ratio for the sequential part of JPEG decompression, JParEnt achieves up to97% of the maximum attainable speedup (95% on average). On the IGP-based desktop platform,

关键词： JPEG decoding entropy decoding prefix codes heterogeneous multicores GPU programming

来源：评论

学校读者我要写书评

暂无评论

the Research and Application of the Power Big Data 7

The Research and Application of the Power Big Data

引用

7th international Conference on Electronics and Information Engineering (ICEIE)

作者： Zhang, Suxiang Zhang, Dong Zhang, Yaping Cao, Jinping Xu, Huiming State Grid Informat & Telecommun Branch Beijing 100761 Peoples R China State Power Econ Res Inst Beijing 102209 Peoples R China State Grid Corp China Beijing 100031 Peoples R China

ISBN: (数字)9781510610811

ISBN: (纸本)9781510610811

Facing the increasing environment crisis, how to improve energy efficiency is the important problem. Power big data is main support tool to realize demand side management and response. With the promotion of smart power consumption, distributed clean energy and electric vehicles etc get wide application;meanwhile, the continuous development of the Internet of things technology, more applications access the endings in the grid power link, which leads to that a large number of electric terminal equipment, new energy access smart grid, and it will produce massive heterogeneous and multi-state electricity data. these data produce the power grid enterprise's precious wealth, as the power big data. How to transform it into valuable knowledge and effective operation becomes an important problem, it needs to interoperate in the smart grid. In this paper, we had researched the various applications of power big data and integrate the cloud computing and big data technology, which include electricity consumption online monitoring, the short-term power load forecasting and the analysis of the energy efficiency. Based on Hadoop, HBase and Hive etc., we realize the ETL and OLAP functions;and we also adopt the parallel computing framework to achieve the power load forecasting algorithms and propose a parallel locally weighted linear regression model;we study on energy efficiency rating model to comprehensive evaluate the level of energy consumption of electricity users, which allows users to understand their real-time energy consumption situation, adjust their electricity behavior to reduce energy consumption, it provides decision-making basis for the user. With an intelligent industrial park as example, this paper complete electricity management. therefore, in the future, power big data will provide decision-making support tools for energy conservation and emissions reduction.

关键词： energy efficiency cloud computing big data smart power consumption

来源：评论

学校读者我要写书评

暂无评论

Design of big data processing system for spacecraft testing experiment

Design of big data processing system for spacecraft testing ...

引用

international symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Bo Sun Lei Zhang Yongheng Chen Beijing Institute of Spacecraft System Engineering Beijing China Shenyang Ligong University Shenyang China

the ground and in-orbit testing experiment of spacecraft are of great significance to the development of China's space industry, and processing the data of testing experiment is an indispensable part in it. In order to solve the problem of large data volume, complex data structure and long time needed for analysis in the testing experiment of spacecraft, a big data processing system of testing experiment is designed based on the mainstream big data processing technology. It stores the test data in the distributed file system of the computer cluster, and uses the memory computing technology to realize parallel processing of the experimental data. this system can greatly reduce the time needed to process experimental data, improve the efficiency of the spacecraft testing experiment, and has a good application prospect in the field of spacecraft test.

关键词： Handheld computers Big Data Space vehicles Testing parallel processing Memory management

来源：评论

学校读者我要写书评

暂无评论

Methods for multitasking among real-time embedded compute tasks running on the GPU

Methods for multitasking among real-time embedded compute ta...

引用

作者： Muyan-Ozcelik, Pinar Owens, John D. Calif State Univ Sacramento Sacramento CA 95819 USA Univ Calif Davis Davis CA 95616 USA

In this study, we provide an extensive survey on wide spectrum of scheduling methods for multitasking among graphics processing unit (GPU) computing tasks. We then design several schedulers and explain in detail the selected methods we have developed to implement our scheduling strategies. Next, we compare the performance of schedulers on various workloads running on Fermi and Kepler architectures and arrive at the following major conclusions: (1) Small kernels benefit from running kernels concurrently. (2) the combination of small kernels, high-priority kernels with longer runtimes, and lower-priority kernels with shorter runtimes benefits from a CPU scheduler that dynamically changes kernel order on the Fermi architecture. (3) Because of limitations of existing GPU architectures, currently CPU schedulers outperform their GPU counterparts. We also provide results and observations obtained from implementing and evaluating our schedulers on the NVIDIA Jetson TX1 system-on-chip architecture. We observe that although TX1 has the newer Maxwell architecture, the mechanism used for scheduler timings behaves differently on TX1 compared to Kepler leading to incorrect timings. In this paper, we describe our methods that allow us to report correct timings for CPU schedulers running on TX1. Finally, we propose new research directions involving the investigation of additional scheduling strategies.

关键词： GPU computing multitasking real-time embedded tasks

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141页 << < 13 14 15 16 17 18 19 20 21 22 > >>

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：