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

2,722 篇 会议
57 册 图书
47 篇 期刊文献

馆藏范围

2,826 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,981 篇 工学
- 1,738 篇 计算机科学与技术...
- 845 篇 软件工程
- 308 篇 电气工程
- 248 篇 信息与通信工程
- 236 篇 电子科学与技术（可...
- 97 篇 控制科学与工程
- 65 篇 机械工程
- 48 篇 生物工程
- 47 篇 光学工程
- 37 篇 材料科学与工程（可...
- 37 篇 生物医学工程（可授...
- 35 篇 仪器科学与技术
- 27 篇 动力工程及工程热...
- 24 篇 建筑学
- 23 篇 化学工程与技术
- 22 篇 力学（可授工学、理...
- 22 篇 土木工程
569 篇 理学
- 403 篇 数学
- 123 篇 物理学
- 59 篇 生物学
- 50 篇 系统科学
- 40 篇 统计学（可授理学、...
- 31 篇 化学
229 篇 管理学
- 160 篇 管理科学与工程(可...
- 76 篇 图书情报与档案管...
- 65 篇 工商管理
52 篇 医学
- 42 篇 临床医学
25 篇 文学
- 18 篇 外国语言文学
23 篇 法学
- 23 篇 社会学
22 篇 经济学
- 22 篇 应用经济学
11 篇 农学
2 篇 教育学
2 篇 艺术学

主题

316 篇 parallel process...
202 篇 graphics process...
198 篇 computer archite...
144 篇 parallel archite...
107 篇 hardware
104 篇 parallel algorit...
94 篇 graphics process...
91 篇 parallel process...
81 篇 image processing
80 篇 algorithm design...
78 篇 computational mo...
74 篇 concurrent compu...
71 篇 signal processin...
71 篇 instruction sets
69 篇 parallel program...
64 篇 parallel computi...
64 篇 field programmab...
63 篇 gpu
58 篇 multicore proces...
57 篇 kernel

机构

10 篇 natl univ def te...
7 篇 inria rennes
6 篇 natl res nucl un...
6 篇 hosei univ dept ...
6 篇 lab efficient ar...
6 篇 southeast univ n...
6 篇 science and tech...
5 篇 univ aizu dept c...
5 篇 univ chinese aca...
5 篇 univ manchester ...
5 篇 city university ...
4 篇 tongji univ sch ...
4 篇 chinese acad sci...
4 篇 univ michigan ad...
4 篇 carleton univ sc...
4 篇 school of comput...
4 篇 faculty of infor...
4 篇 beijing inst tec...
4 篇 hainan internati...
4 篇 department of co...

作者

11 篇 dongarra jack
7 篇 jack dongarra
7 篇 liu jie
7 篇 zhang chuan
7 篇 quintana-orti en...
7 篇 kothapalli kisho...
6 篇 you xiaohu
6 篇 nakano koji
6 篇 peng shietung
6 篇 li yamin
6 篇 chu wanming
6 篇 wyrzykowski roma...
6 篇 griebler dalvan
5 篇 ito yasuaki
5 篇 liu xin
5 篇 wang guojun
5 篇 hannig frank
5 篇 geyong min
5 篇 wanlei zhou
5 篇 teich juergen

语言

2,745 篇 英文
56 篇 其他
25 篇 中文
2 篇 法文
1 篇 西班牙文
1 篇 葡萄牙文
1 篇 乌克兰文

检索条件"任意字段=9th International Conference on Algorithms and Architectures for Parallel Processing"

共 2826 条记录，以下是531-540 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：

Reliability and Modelability Advantages of Distributed Switching for Reconfigurable 2D Processor Arrays

Reliability and Modelability Advantages of Distributed Switc...

引用

international conference and Workshop on Computing and Communication (IEMCON)

作者： Behrooz Parhami University of California Santa Barbara CA USA

ISBN: (数字)9781728184166

ISBN: (纸本)9781728184173

Processor arrays have been used, either as the main computation engine or as special-purpose adjuncts, for a variety of applications requiring very high performance. As the size of such an array increases, the possibility of processor malfunctions, leading to loss of computational capabilities, can no longer be ignored. While many switching architectures and reconfiguration algorithms have been proposed for building processor arrays, modeling of their reliability has been inadequately addressed. In this paper, I study differences between 2D processor arrays with centralized and distributed switching, pointing to advantages of the latter in terms of reliability, regularity, modularity, and VLSI realizability. As important side results, I formulate the notions of reliability inversion (a less reliable system prevailing over a more reliable one due to modeling uncertainties) and modelability (the property of a system that makes it possible to derive tight reliability bounds, thus making reliability inversion less likely).

关键词： Uncertainty Systematics Two dimensional displays Switches parallel processing Very large scale integration Reliability engineering

来源：评论

学校读者我要写书评

暂无评论

Towards a Distributed Computation Offloading Architecture for Cloud Robotics 15

Towards a Distributed Computation Offloading Architecture fo...

引用

15th IEEE international Wireless Communications and Mobile Computing conference (IEEE IWCMC)

作者： Chaari, Rihab Cheikhrouhou, Omar Koubaa, Anis Youssef, Habib Hmam, Habib Univ Mannouba Prince Res Lab Manouba Tunisia Taif Univ Coll CIT At Taif Saudi Arabia Univ Sfax Comp & Embedded Syst Lab Sfax Tunisia Prince Sultan Univ Riyadh Saudi Arabia ISEP CISTER INESC TEC Porto Portugal Gaitech Robot Shanghai Peoples R China Univ Sousse Prince Res Lab Sousse Tunisia Univ Moncton Fac Engn Moncton NB E1A 3E9 Canada

ISBN: (纸本)9781538677476

Cloud robotics is incessantly gaining ground, especially with the rapid expansion of wireless networks and Internet resources. In particular, computation offloading is emerging as a new trend, enabling robots with more powerful computation resources. It helps them to overcome the hardware and software limitations by leveraging parallel computing capabilities and the availability of large amounts of resources in the cloud. However, the performance gain of computation offloading in cloud robotics is still an ongoing research problem because of the conflicting factors that affect the performance. In this paper, we investigate this issue and we design a distributed cloud robotic architecture for computation offloading based on Kafka middleware as messaging broker. We experimentally validated our solution and tested its performance using image processing algorithms. Experimental results show a significant reduction in robot CPU load, as expected, with an increase in robot communication delays.

关键词： cloud robotics processing offloading distributed computing

来源：评论

学校读者我要写书评

暂无评论

Many-core parallel algorithm to correct the gaussian noise of an image 9th

Many-core parallel algorithm to correct the gaussian noise o...

引用

9th international conference on Supercomputing, ISUM 2018

作者： Alvarez-Sanchez, Teodoro Alvarez-Cedillo, Jesus A. Sandoval-Gutierrez, Jacobo Instituto Politécnico Nacional CITEDI Tijuana Mexico Instituto Politécnico Nacional UPIICSA Mexico City Mexico Universidad Autónoma Metropolitana LERMA Mexico City Mexico

ISBN: (纸本)9783030104474

the digitization of information is abundant in different areas related to digital image processing;its primary objective is to improve the quality of the image for a correct human interpretation or to facilitate the search of information patterns in a shorter time, with fewer computing resources, size and low energy consumption. this research is focused on validating a possible implementation using a limited embedded system, so the specified processing speed and algorithms that redistribute the computational cost are required. the strategy has been based on parallel processing for the distribution of tasks and data to the Epiphany III. It was combined to reduce the factors that introduce noise to the image and improve quality. the most common types of noise are Gaussian noise, impulsive noise, uniform noise and speckle noise. In this paper, the effects of Gaussian noise that occurs at the moment of the acquisition of the image that produces as a consequence blur in some pixels of the image is analyzed, and that generates the effect of haze (blur). the implementation was developed using the Many-core technology in 2 × 2 and 4 × 4 arrays with (4, 8, 16) cores, also the performance of the Epiphany system was characterized to FFT2D, FFT setup, BITREV, FFT1D, Corner turn and LPF and the response times in machine cycles of each algorithm are shown. the power of parallel processing with this technology is displayed, and the low power consumption is related to the number of cores used. the contribution of this research in a qualitative way is demonstrated with a slight variation for the human eye in each other images tested, and finally, the method is a useful tool for applications with resources limited. © Springer Nature Switzerland AG 2019.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Accelerating the AES Algorithm using OpenCL

Accelerating the AES Algorithm using OpenCL

引用

international conference on Modern Circuits and Systems Technologies (MOCAST)

作者： theodora Sanida Argyrios Sideris Minas Dasygenis Department of Electrical & Computer Engineering University of Western Macedonia Kozani Greece

ISBN: (数字)9781728166872

ISBN: (纸本)9781728166889

Nowadays, cryptography plays an important role in the field of information security. the most common symmetric cryptographic algorithm is Advanced Encryption Standard (AES), which is based on the well-known Rijndael algorithm and is used worldwide in every domain. In this document, we present the implementation of the AES algorithm in two parallel modes of operation (CTR and XTS) with the OpenCL programming language. We used OpenCL because it is designed for parallel computing on heterogeneous platforms and ensures portability. Furthermore, we applied 128, 192 and 256 bit cryptographic key size and a file size ranging from 512B to 8MB to evaluate the performance of the kernel runtime and throughput (Gbps). the results have shown that, the performance of the CTR mode is better than the XTS mode. CTR mode speeds up the process of encryption with 128 bit key over 10.15%, 192 bit key over 10.09% and 256 bit key over 10.05%. the decryption process shows 128 bit key acceleration over 10.11%, 192 bit key over 10.05% and 256 bit key over 10.02%. Finally, comparing the results of our implementation to other similar parallel models, we have achieved better throughput performance.

关键词： Encryption Graphics processing units Acceleration Kernel throughput Standards

来源：评论

学校读者我要写书评

暂无评论

Hardware Implementation of Blind Source Separation Algorithm Using ZYBO Z7& Xilinx System Generator

Hardware Implementation of Blind Source Separation Algorithm...

引用

international conference on Renewable Energies for Developing Countries (REDEC)

作者： Mohcin Mekhfioui Amal Satif Omar Mouhib Rachid Elgouri Abdelkader Hadjoudja Laamari Hlou Laboratory of Electrical Engineering and Energy Systems Faculty of Science Ibn Tofail University Kenitra Morocco

ISBN: (数字)9781728155951

ISBN: (纸本)9781728155968

Blind Source Separation (BSS) is termed as the extraction of source signals from mixed data without or with little knowledge about the source signals. It is used in many fields of research such as military, medical and industry. Among the many challenges that must be overcome to apply BSS to a real system, implementation restrictions are the most difficult. Software implementations require a significant amount of overhead to make them applicable to real-time systems and have a lower maximum speed of operation than hardware implementations. When speed is desired, the algorithm should be implemented on specialized hardware such as a Field Programmable Gate Array(FPGA) which allows the user to take advantage of parallel computational abilities. this paper describes the methodology for implementing real-time DSP applications on FPGA and the concept of hardware software cosimulation of the Second Order Blind Identification (SOBI) algorithm using MATLAB Simulink and Xilinx System Generator (XSG). Performances of efficient architectures are implemented on FPGA ZYBO Z7 Zynq-7020.

关键词： Field programmable gate arrays Blind source separation Generators Signal processing algorithms Hardware Real-time systems Software packages

来源：评论

学校读者我要写书评

暂无评论

Performance of some image processing algorithms in TensorFlow 25

Performance of some image processing algorithms in TensorFlo...

引用

25th international conference on Systems, Signals and Image processing (IWSSIP)

作者： Demirovic, Damir Skejic, Emir Serifovic-Trbalic, Amira Univ Tuzla Fac Elect Engn Franjevacka 2 Tuzla 75000 Bosnia & Herceg

ISBN: (纸本)9781538669792

Signal, image and Synthetic Aperture Radar imagery algorithms in recent time are used in a daily routine. Due to huge data and complexity, their processing is almost impossible in a real time. Often image processing algorithms are inherently parallel in nature, so they fit nicely into parallel architectures multicore Central processing Unit (CPU) and Graphics processing Unit GPUs. In this paper image processing algorithms were evaluated, which are capable to execute in parallel manner on several platforms CPU and GPU. All algorithms were tested in TensorFlow, which is a novel framework for deep learning, but also for image processing. Relative speedups compared to CPU were given for all algorithms. TensorFlow GPU implementation can outperform multi-core CPUs for tested algorithms, obtained speedups range from 3.6 to 15 times.

关键词： image processing tensorflow parallel processing central processing unit graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks

A Graph Neural Network Approach for Scalable and Dynamic IP ...

引用

IEEE international conference on Cloud Networking (CLOUDNET)

作者： Hazem M. Soliman Geoff Salmon Dusan Sovilj Mohan Rao RANK Software Inc. Toronto Canada

ISBN: (数字)9781728194868

ISBN: (纸本)9781728194875

Measuring similarity between IP addresses is an important task in the daily operations of any enterprise network. Applications that depend on an IP similarity measure include measuring correlation between security alerts, building baselines for behavioral modelling, debugging network failures and tracking persistent attacks. However, IPs do not have a natural similarity measure by definition. Deep Learning architectures are a promising solution here since they are able to learn numerical representations for IPs directly from data, allowing various distance measures to be applied on the calculated representations. Current works have utilized Natural Language processing (NLP) techniques for learning IP embeddings. However, these approaches have no systematic way to handle out-of-vocabulary (OOV) IPs not seen during training. In this paper, we propose a novel approach for IP embedding using an adapted graph neural network (GNN) architecture. this approach has the advantages of working on the raw data, scalability and, most importantly, induction, i.e. the ability to measure similarity between previously unseen IPs. Using data from an enterprise network, our approach is able to identify high similarities between local DNS servers and root DNS servers even though some of these machines are never encountered during the training phase.

关键词： Training Current measurement Natural language processing Graph neural networks IP networks Servers Task analysis

来源：评论

学校读者我要写书评

暂无评论

Optimizing Machine Learning algorithms on Multi-core and Many-core architectures using thread and Data Mapping 26

Optimizing Machine Learning Algorithms on Multi-core and Man...

引用

26th Euromicro international conference on parallel, Distributed, and Network-Based processing (PDP)

作者： Serpa, Matheus S. Krause, Arthur M. Cruz, Eduardo H. M. Navaux, Philippe O. A. Pasin, Marcelo Felber, Pascal Fed Univ Rio Grande Sul UFRGS Inst Informat Porto Alegre RS Brazil Univ Neuchatel Neuchatel Switzerland

ISBN: (纸本)9781538649756

Driven by the development of new technologies such as personal assistants or autonomous cars, machine learning has rapidly become one of the most active fields in computer science. the algorithms at the core of machine learning are notoriously demanding in terms of resources. It is therefore of paramount importance to optimize their operation on modern processors. Several approaches have been proposed to accelerate machine learning on GPUs and massively parallel computers, as well as dedicated ASICs. In this paper, we focus on Intel's multi-core Xeon and many-core accelerator Xeon Phi Knights Landing, which can host several hundreds of threads on the same CPU. In such architectures, thread and data mapping are keys for performance. We study the impact of mapping strategies, revealing that, with smart mapping policies, one can indeed significantly speed up machine learning applications on manycore architectures. Execution time was reduced by up to 25.2% and 18.5% on Intel Xeon and Xeon Phi KNL, respectively.

关键词： Machine learning thread mapping Data mapping Memory accesses

来源：评论

学校读者我要写书评

暂无评论

Comparative study of performance of parallel alpha Beta Pruning for different architectures

Comparative study of performance of parallel alpha Beta Prun...

引用

IEEE international Advance Computing conference, IACC

作者： Shubhendra Pal Singhal M. Sridevi National Institute of Technology Tiruchirappalli

Optimization of searching the best possible action depending on various states like state of environment, system goal etc. has been a major area of study in computer systems. In any search algorithm, searching best possible solution from the pool of every possibility known can lead to the construction of the whole state search space popularly called as minimax algorithm. this may lead to a impractical time complexities which may not be suitable for real time searching operations. One of the practical solution for the reduction in computational time is Alpha Beta pruning. Instead of searching for the whole state space, we prune the unnecessary branches, which helps reduce the time by significant amount. this paper focuses on the various possible implementations of the Alpha Beta pruning algorithms and gives an insight of what algorithm can be used for parallelism. Various studies have been conducted on how to make Alpha Beta pruning faster. parallelizing Alpha Beta pruning for the GPUs specific architectures like mesh(CUDA) etc. or shared memory model(OpenMP) helps in the reduction of the computational time. this paper studies the comparison between sequential and different parallel forms of Alpha Beta pruning and their respective efficiency for the chess game as an application.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Performance Comparison of BLAS on CPU, GPU and FPGA

Performance Comparison of BLAS on CPU, GPU and FPGA

引用

IEEE Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Chong Xiong Ning Xu College of Information Engineering Wuhan University of Technology Wuhan China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

In recent years, High Performance Computing (HPC) codes are widely used on various computing platforms such as server clusters, parallel GPUs, FPGAs and so on [1]. For various HPC applications, the Basic Linear Algebra Subroutines (BLAS) is one of the most basic and important function libraries. In this paper, we designed and developed a parametric and modular implementation for matrix-matrix multiplications on the FPGA. then we analyzed and compared BLAS by means of the embedded computing platform integrated with CPU, GPU and FPGA. For the CPU, we adopted the latest standard library on the experimental devices. For the GPU, We compiled a OpenGL program to realize the calculation of matrix-matrix multiplication. Finally, we treat performance as the indicator to evaluate CPU, GPU and FPGA. the experimental result shows that the BLAS kernel on FPGA provides the best computing performance and it is 18.7-22.0 times better than the implementation on CPU and 3.8-6.0 times faster than the implementation on GPU.

关键词： Performance evaluation Graphics processing units throughput Libraries Kernel Field programmable gate arrays Standards

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283页 << < 50 51 52 53 54 55 56 57 58 59 > >>

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：