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

16,237 篇 会议
368 篇 期刊文献
22 册 图书

馆藏范围

16,627 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

9,336 篇 工学
- 8,536 篇 计算机科学与技术...
- 4,019 篇 软件工程
- 1,983 篇 电气工程
- 1,384 篇 信息与通信工程
- 676 篇 电子科学与技术（可...
- 536 篇 控制科学与工程
- 229 篇 网络空间安全
- 188 篇 仪器科学与技术
- 141 篇 机械工程
- 115 篇 生物医学工程（可授...
- 106 篇 动力工程及工程热...
- 105 篇 测绘科学与技术
- 97 篇 光学工程
- 91 篇 生物工程
- 82 篇 建筑学
- 70 篇 土木工程
- 63 篇 环境科学与工程（可...
- 62 篇 安全科学与工程
1,974 篇 理学
- 1,506 篇 数学
- 245 篇 物理学
- 204 篇 统计学（可授理学、...
- 177 篇 系统科学
- 115 篇 生物学
- 100 篇 地球物理学
- 69 篇 化学
1,464 篇 管理学
- 1,206 篇 管理科学与工程(可...
- 468 篇 工商管理
- 321 篇 图书情报与档案管...
106 篇 医学
- 86 篇 临床医学
96 篇 经济学
- 93 篇 应用经济学
56 篇 法学
53 篇 农学
18 篇 教育学
12 篇 文学
9 篇 军事学
1 篇 艺术学

主题

2,212 篇 parallel process...
1,199 篇 computer archite...
1,130 篇 concurrent compu...
1,116 篇 distributed comp...
1,063 篇 computational mo...
1,037 篇 application soft...
1,017 篇 distributed proc...
990 篇 hardware
905 篇 computer science
708 篇 graphics process...
595 篇 runtime
527 篇 scalability
518 篇 parallel process...
507 篇 algorithm design...
494 篇 parallel program...
490 篇 parallel algorit...
470 篇 graphics process...
460 篇 kernel
446 篇 processor schedu...
440 篇 conferences

机构

38 篇 ibm thomas j. wa...
33 篇 college of compu...
31 篇 school of comput...
27 篇 oak ridge nation...
26 篇 university of ch...
26 篇 oak ridge natl l...
25 篇 georgia inst tec...
25 篇 ohio state univ ...
24 篇 department of co...
23 篇 tsinghua univers...
23 篇 pacific northwes...
21 篇 argonne national...
21 篇 oak ridge nation...
20 篇 georgia inst tec...
19 篇 college of compu...
19 篇 school of comput...
19 篇 department of co...
19 篇 argonne natl lab...
19 篇 pacific northwes...
19 篇 national laborat...

作者

39 篇 jack dongarra
31 篇 dongarra jack
29 篇 zomaya albert y.
26 篇 bader david a.
23 篇 feng wu-chun
22 篇 boukerche azzedi...
19 篇 hoefler torsten
18 篇 gagan agrawal
18 篇 schulz martin
16 篇 dhabaleswar k. p...
16 篇 p. sadayappan
16 篇 wang yijie
15 篇 ito yasuaki
15 篇 yves robert
14 篇 h. casanova
14 篇 alexey lastovets...
14 篇 azad ariful
13 篇 dongsheng li
13 篇 wang guojun
13 篇 kishore kothapal...

语言

16,553 篇 英文
44 篇 其他
27 篇 中文
2 篇 土耳其文
1 篇 葡萄牙文

检索条件"任意字段=IEEE International Symposium on Parallel and Distributed Processing with Applications"

共 16627 条记录，以下是221-230 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：

Unleash the Power for Tensor: A Hybrid Malware Detection System Using Ensemble Classifiers 15

Unleash the Power for Tensor: A Hybrid Malware Detection Sys...

引用

15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Hou, Jieqiong Xue, Minhui Qian, Haifeng East China Normal Univ Shanghai Peoples R China

ISBN: (纸本)9781538637906

The extensive growth of smartphones has spawned the propagation of malicious applications. Due to the increasing use of polymorphic malware, detection is becoming more difficult. To this end, ensemble learning has been proposed to improve accuracy in malware detection, without severely sacrificing time complexity. In this paper, we propose a hybrid detection system, TFBOOST, which incorporates the tensor filter algorithm into boosting ensemble generalization architecture, in order to improve detection efficacy. TFBOOST uses a static analysis to extract features and a level-by-level boosting structure with re-sampling process to diversify base learners. Experimental results show that TFBOOST generally outperforms state-of-the-art ensemble algorithms with higher detection precision and lower false positive rates. Finally, we visually interpret the high-level results of TFBOOST and conjecture that repackaged malware is the mainstay of potential malware.

关键词： TFBOOST Malware detection Tensor decomposition Boosting generalization Ensemble learning

来源：评论

学校读者我要写书评

暂无评论

distributed Systems with Wireless Sensor Networks

Distributed Systems with Wireless Sensor Networks

引用

26th ieee international parallel and distributed processing symposium (IPDPS) / Workshop on High Performance Data Intensive Computing

作者： Rodriguez, Noemi Rossetto, Silvana Catolica Univ Rio de Janeiro PUC Rio Dept Informat Rio De Janeiro Brazil Univ Fed Rio de Janeiro DCC Rio de Janeiro Brazil

ISBN: (纸本)9780769546766

Conventional distributed system courses follow a syllabus in which a list of topics is discussed independently and at different levels of abstractions. We propose to use a wireless sensor network environment to pin all topics down to concrete applications and to maintain issues such as fault tolerance and coordination continuously present. We describe a syllabus with eight conceptual modules, each of them associated to a hands-on experience with wireless sensor networks, which may be assigned either as homework or as a hands-on class, depending on the number of classroom hours that are available.

关键词： cross-cutting concerns distributed systems wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Memory-Disaggregated In-Memory Object Store Framework for Big Data applications 36

Memory-Disaggregated In-Memory Object Store Framework for Bi...

引用

36th ieee international parallel and distributed processing symposium (ieee IPDPS)

作者： Abrahamse, Robin Hadnagy, Akos Al-Ars, Zaid Delft Univ Technol Accelerated Big Data Syst Delft Netherlands

ISBN: (纸本)9781665497473

The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes can directly access memory on adjacent nodes and are therefore able to overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and demonstrates a memory disaggregated in-memory object store framework for big data applications by leveraging the newly introduced ThymesisFlow memory disaggregation system. The framework extends the functionality of the pre-existing Apache Arrow Plasma object store framework to distributed systems by enabling clients to easily and efficiently produce and consume data objects across multiple compute nodes. This allows big data applications to increasingly leverage parallel processing at reduced development costs. In addition, the paper includes latency and throughput measurements that indicate only a modest performance penalty is incurred for remote disaggregated memory access as opposed to local (similar to 6.5 vs similar to 5.75 GiB/s). The results can be used to guide the design of future systems that leverage memory disaggregation as well as the newly presented framework. This work is open-source and publicly accessible at https://***/10.5281/zenodo.6368998.

关键词： Memory Disaggregation Apache Arrow Plasma ThymesisFlow

来源：评论

学校读者我要写书评

暂无评论

An Immune-based Optimization Algorithm of Multi-tenant Resource Allocation for Geo-distributed Data Centers 15

An Immune-based Optimization Algorithm of Multi-tenant Resou...

引用

15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Song, Yazhen Peng, Jun Liu, Weirong Zhang, Xiaoyong Gu, Xin Yu, Wentao Cent S Univ Sch Informat Sci & Engn Changsha Hunan Peoples R China Cent South Univ Forestry & Technol Coll Comp & Informat Engn Changsha Hunan Peoples R China Hunan Engn Lab Rail Vehicles Braking Technol Changsha Hunan Peoples R China

ISBN: (纸本)9781538637906

In recent years, the global data center industry has entered a large-scale planning and construction stage, bringing huge power consumption and high operating costs. In this paper, a multi-tenant resource allocation optimization model for geo-distributed data centers is proposed to reduce the energy consumption and operating costs of cloud providers. Firstly, the resource allocation model is constructed by considering the heterogeneous electricity prices of geo-distributed data centers. Then an immune-based algorithm is proposed to solve the allocation optimization problem with variable users' demand. The biological immune system is a highly parallel, distributed, self-adaptive and self-organizing system with a strong ability to learn, recognize, and memory. It searches for the optimal resource allocation scheme with low computational complexity. Extensive simulations driven by large-scale parallel Workloads Archive demonstrate the feasibility and performance of our immune-based optimization algorithm.

关键词： Multi-tenant geo-distributed data centers electricity price heterogeneity immune algorithm

来源：评论

学校读者我要写书评

暂无评论

A Privacy-Aware Conceptual Framework for Coordination 15

A Privacy-Aware Conceptual Framework for Coordination

引用

15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Elahi, Haroon Wang, Guojun Zhang, Wei Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781538637906

Enterprise architects and information system designers need to understand and manage workflows, data flows, and social interactions to design tools and systems for well-coordinated organizational operations. However, the organizational-nature has drastically transformed over the recent years due to wide-scale use of new computing technologies. Disintegrated structures, large quantities of frequently-generated data, and dubious system and interaction boundaries are some of the obvious identifiers of a modern enterprise, where poorly designed coordination can lead to serious privacy risks. Old coordination modeling frameworks do not set well for the new organizational settings, and a need for alternative models and frameworks has been felt. In this paper, we propose a privacy-aware conceptual framework for understanding coordination by identifying and mapping work, data, and interaction patterns in organizational environments. These propositions intend to help practitioners in developing an updated understanding of the coordination that serves privacy needs, as well.

关键词： Coordination Computer Supported Cooperative Work Information System Design Privacy distributed Environments

来源：评论

学校读者我要写书评

暂无评论

Virtual Machine Migration Scheme Based on Score Matrix in Data Centers 15

Virtual Machine Migration Scheme Based on Score Matrix in Da...

引用

15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Yin, Luxiu Luo, Juan Zhang, Song Yang, Zhangwei Hunan Univ Coll Comp Sci & Elect Engn Changsha Hunan Peoples R China Pingxiang Univ Pingxiang Jiangxi Peoples R China

ISBN: (纸本)9781538637906

Virtual Machine Migration (VMM) is a key technology in data centers. Due to the uncertainty of applications in resource allocation, the imbalance of resource utilization is badly poor. In this paper, an Auto-regression Moving Average model is proposed to predict the resource requirement of a certain virtual machine, while the resource utilization rate of the physical machine is analyzed. Since the existing VMM scheme basically follows one by one migration, which makes the migration be unable to achieve the global optimum and save more energy, the paper introduces migrated cost matrix, and recommends a set of migrations with the best performance from a global point of view to carry out the migration, and improves the "three-step" method in the traditional migrated scheme to achieve energy efficiency. Simulation experiments show that the proposed scheme in the paper can effectively reduce the energy consumption, and can improve the quality of service in a certain degree.

关键词： Energy Efficient Forecast Migrated Cost Matrix Virtual Machine Migration

来源：评论

学校读者我要写书评

暂无评论

CompStor: An In-Storage Computation Platform for Scalable distributed processing 32

CompStor: An In-Storage Computation Platform for Scalable Di...

引用

32nd ieee international parallel and distributed processing symposium (IPDPS)

作者： Torabzadehkashi, Mahdi Rezaei, Siavash Alves, Vladimir Bagherzadeh, Nader Univ Calif Irvine EECS Dept Irvine CA 92697 USA Univ Calif Irvine ICS Dept Irvine CA 92697 USA NGD Syst Inc Irvine CA USA

ISBN: (纸本)9781538655559

The explosion of data-centric and data dependent applications requires new storage devices, interfaces, and software stacks. Big data analytics solutions such as Hadoop, MapReduce and Spark have addressed the performance challenge by using a distributed architecture based on a new paradigm that relies on moving computation closer to data. In this paper, we describe a novel approach aimed at pushing the "move computation to data" paradigm to its ultimate limit by enabling highly efficient and flexible in-storage processing capability in solid state drives (SSDs). We have designed CompStor, an FPGA-based SSD that implement computational storage through a software stack (devices, protocol, interface, software, and systems) and a dedicated hardware for in-storage processing including a quadcore ARM processor subsystem. The dedicated hardware resources provide in-storage data analytics capability without degrading the performance of common storage device functions such as read, write and trim. Experimental results show up to 3X energy saving for some applications in comparison to the host CPU. To the best of our knowledge, the 24TB CompStor SSD is the first one capable of supporting in-storage computation running an operating system, enabling all types of applications and Linux shell commands to be executed in-place with no modification.

关键词： near data processing in-storage computing in-situ processing distributed processing non-volatile memory SSD direct-attached storage

来源：评论

学校读者我要写书评

暂无评论

Approximation algorithm for scheduling applications on hybrid multi-core machines with communications delays 32

Approximation algorithm for scheduling applications on hybri...

引用

32nd ieee international parallel and distributed processing symposium (IPDPS)

作者： Aba, Massinissa Ait Zaourar, Lilia Munier-Kordon, Alix CEA LIST Comp & Design Environm Lab F-91191 Gif Sur Yvette France LIP6 UPMC 4 Pl Jussieu F-75005 Paris France

ISBN: (纸本)9781538655559

This paper presents an efficient algorithm with performance guarantee (approximation algorithm) to solve task scheduling problem on hybrid platform. The underlying platform architecture in this work is composed by two types of resources CPU and GPU, often called hybrid parallel multi-core platforms. We consider here for each type of resource identical nodes with communications delays. We focus in finding a generic approach to schedule applications presented by DAG (Directed Acyclic Graph) that minimizes makespan by considering communication delay between processors and tasks. A 6-approximation scheduling algorithm is proposed and evaluated in comparison to exact solutions and to another method. We demonstrate that the proposed algorithm achieves a close-to-optimal performance. Finally, our algorithm has been experimented on a large number of instances. These tests assess the good practical behavior of the algorithms with respect to the state-of-the-art solutions whenever these exist.

关键词： DAG applications makespan hybrid CPU GPU approximation algorithm scheduling

来源：评论

学校读者我要写书评

暂无评论

Exploring DataVortex Systems for Irregular applications 31

Exploring DataVortex Systems for Irregular Applications

引用

31st ieee international parallel and distributed processing symposium (IPDPS)

作者： Gioiosa, Roberto Tumeo, Antonino Yin, Jian Warfel, Thomas Haglin, David Betelu, Santiago Pacific Northwest Natl Lab Richland WA 99354 USA Trovares Inc Seattle WA USA Data Vortex Technol Inc Austin TX USA

ISBN: (纸本)9781538639146

Emerging applications for data analytics and knowledge discovery typically have irregular or unpredictable communication patterns that do not scale well on parallel systems designed for traditional bulk-synchronous HPC applications. New network architectures that focus on minimizing (short) message latencies, rather than maximizing (large) transfer bandwidths, are emerging as possible alternatives to better support those applications with irregular communication patterns. We explore a system based upon one such novel network architecture, the Data Vortex interconnection network, and examine how this system performs by running benchmark code written for the Data Vortex network, as well as a reference MPI-over-Infiniband implementation, on the same cluster. Simple communication primitives (ping-pong and barrier synchronization), a few common communication kernels (distributed 1D Fast Fourier Transform, breadth-first search, Giga-Updates Per Second) and three prototype applications (a proxy application for simulating neutron transport-"SNAP", a finite difference simulation for computing incompressible fluid flow, and an implementation of the heat equation) were all implemented for both network models. The results were compared and analyzed to determine what characteristics make an application a good candidate for porting to a Data Vortex system, and to what extent applications could potentially benefit from this new architecture.

关键词： Data Vortex irregular application high-performance computing

来源：评论

学校读者我要写书评

暂无评论

Accelerating Graph and Machine Learning Workloads Using a Shared Memory Multicore Architecture with Auxiliary Support for in-Hardware Explicit Messaging 31

Accelerating Graph and Machine Learning Workloads Using a Sh...

引用

31st ieee international parallel and distributed processing symposium (IPDPS)

作者： Dogan, Halit Hijaz, Farrukh Ahmad, Masab Kahne, Brian Wilson, Peter Khan, Omer NXP Semicond Austin TX 78735 USA Univ Connecticut Storrs CT USA

ISBN: (纸本)9781538639146

Shared Memory stands out as a sine qua non for parallel programming of many commercial and emerging multicore processors. It optimizes patterns of communication that benefit common programming styles. As parallel programming is now mainstream, those common programming styles are challenged with emerging applications that communicate often and involve large amount of data. Such applications include graph analytics and machine learning, and this paper focuses on these domains. We retain the shared memory model and introduce a set of lightweight in-hardware explicit messaging instructions in the instruction set architecture (ISA). A set of auxiliary communication models are proposed that utilize explicit messages to accelerate synchronization primitives, and efficiently move computation towards data. The results on a 256-core simulated multicore demonstrate that the proposed communication models improve performance and dynamic energy by an average of 4x and 42% respectively over traditional shared memory.

关键词： parallel programming

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 << < 19 20 21 22 23 24 25 26 27 28 > >>

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：