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

2,868 篇 会议
62 册 图书
45 篇 期刊文献

馆藏范围

2,974 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,085 篇 工学
- 1,865 篇 计算机科学与技术...
- 968 篇 软件工程
- 351 篇 电气工程
- 271 篇 信息与通信工程
- 267 篇 电子科学与技术（可...
- 109 篇 控制科学与工程
- 75 篇 机械工程
- 63 篇 生物工程
- 50 篇 仪器科学与技术
- 48 篇 生物医学工程（可授...
- 40 篇 动力工程及工程热...
- 37 篇 光学工程
- 33 篇 建筑学
- 30 篇 材料科学与工程（可...
- 30 篇 土木工程
- 24 篇 化学工程与技术
- 24 篇 交通运输工程
- 24 篇 网络空间安全
- 23 篇 安全科学与工程
601 篇 理学
- 397 篇 数学
- 115 篇 物理学
- 68 篇 生物学
- 62 篇 系统科学
- 41 篇 化学
- 32 篇 统计学（可授理学、...
239 篇 管理学
- 160 篇 管理科学与工程(可...
- 101 篇 图书情报与档案管...
- 72 篇 工商管理
55 篇 医学
- 48 篇 临床医学
25 篇 经济学
- 25 篇 应用经济学
21 篇 法学
15 篇 文学
14 篇 农学
4 篇 军事学
3 篇 教育学
1 篇 艺术学

主题

365 篇 parallel process...
190 篇 graphics process...
170 篇 computer archite...
135 篇 parallel archite...
121 篇 graphics process...
113 篇 hardware
106 篇 parallel algorit...
103 篇 parallel process...
83 篇 computational mo...
79 篇 instruction sets
78 篇 image processing
75 篇 signal processin...
70 篇 multicore proces...
69 篇 parallel program...
68 篇 field programmab...
63 篇 concurrent compu...
63 篇 gpu
62 篇 algorithm design...
62 篇 kernel
60 篇 optimization

机构

9 篇 natl univ def te...
6 篇 hosei univ dept ...
6 篇 school of comput...
6 篇 national laborat...
5 篇 college of compu...
5 篇 univ aizu dept c...
5 篇 college of compu...
5 篇 karlsruhe instit...
5 篇 city university ...
5 篇 st francis xavie...
4 篇 queens univ belf...
4 篇 nanyang technol ...
4 篇 chinese acad sci...
4 篇 univ chinese aca...
4 篇 hainan internati...
4 篇 department of co...
4 篇 inria rennes
4 篇 sun yat-sen univ...
4 篇 institute of com...
4 篇 university of te...

作者

11 篇 jack dongarra
8 篇 roman wyrzykowsk...
8 篇 quintana-orti en...
7 篇 hannig frank
7 篇 teich juergen
7 篇 nakano koji
7 篇 konrad karczewsk...
6 篇 ito yasuaki
6 篇 liu jie
6 篇 carretero jesus
6 篇 peng shietung
6 篇 li yamin
6 篇 chu wanming
6 篇 wang gang
5 篇 dongarra jack
5 篇 wanlei zhou
5 篇 qian depei
5 篇 namyst raymond
5 篇 ewa deelman
5 篇 dolz manuel f.

语言

2,945 篇 英文
19 篇 其他
11 篇 中文
2 篇 俄文

检索条件"任意字段=7th International Conference on Algorithms and Architectures for Parallel Processing"

共 2975 条记录，以下是2851-2860 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：

DT-CGRA: Dual-track coarse-grained reconfigurable architecture for stream applications

DT-CGRA: Dual-track coarse-grained reconfigurable architectu...

引用

international conference on Field Programmable Logic and Applications

作者： Xitian Fan Huimin Li Wei Cao Lingli Wang State Key Laboratory of ASIC and System Fudan University Shanghai China

this paper presents a new type of coarse-grained reconfigurable architecture (CGRA) for the object inference domain in machine learning. the proposed CGRA is optimized for stream processing and a correspondent programming model called dual-track model is proposed. the CGRA is realized in Verilog HDL and implemented in SMIC 55 nm process, with the footprint of 3.79 mm 2 and consuming 1.79 W at 500 MHz. To evaluate the performance, eight machine-learning algorithms including HOG, CNN, k-means, PCA, SPM, linear-SVM, Softmax and Joint-Bayesian are selected as benchmarks. these algorithms cover a general machine learning flow in object inference domain: feature extraction, feature selection and inference. the experimental results show that the proposed CGRA can gain 1443× average energy efficiency comparing to the Intel i7-3770 CPU and 7.82× energy efficiency comparing to a high performance FPGA solution [19].

关键词： Kernel Programming Reconfigurable architectures Energy efficiency Context Arrays

来源：评论

学校读者我要写书评

暂无评论

RC6 architecture-adaptive implementation for coarse-grained reconfiguration array

RC6 architecture-adaptive implementation for coarse-grained ...

引用

international conference on ASIC

作者： Anqi Yin Zibin Dai Longmei Nan Wei Li Department of Microelectronics Institute of Information Science and Technology Zhengzhou China School of Microelectronics Fudan University Shanghai China

there are a mass of advantages for mapping cryptographic algorithms on the Coarse-Grained Reconfiguration Array (CGRA), nevertheless it also have raised some challenges. the hardest one is how to map. In this paper, we present a set of mapping rules towards the targeted platform and verify its accuracy. In order to reduce the critical path delay and enhance the throughput density, we map 7 implementations of RC6 through architecture-adaptive improvement and task-level parallelism. the simplest method occupies only 4 computing units (CU), while the parallel-task schemes consume 64 CUs at most. the experimental results show that the throughput of optimal scheme is 4.50-10.16 times higher than the Intel Core2-the fastest platform in the literatures published.

关键词： throughput Delays Copper parallel processing Encryption Computer architecture

来源：评论

学校读者我要写书评

暂无评论

Constructing a Mobility and Acceleration Computing Platform with NVIDIA Jetson TK1

Constructing a Mobility and Acceleration Computing Platform ...

引用

IEEE international Symposium on Cyberspace Safety and Security

作者： Min Su Jianjun Tan Chun-Yuan Lin Jin Ye Chung-Hung Wang Che-Lun Hung College of Life Science and Bioengineering Beijing University of Technology Department of Computer Science and Information Engineering Chang Gung University Department of Computer Science and Communication Engineering Providence University

ISBN: (纸本)9781479989386

Current high-end graphics processing units (GPUs), which contain up to thousand cores per-chip, are widely used in the high performance computing community. However, in the past, the cost and power consumption of constructing a high performance platform with graphics cards, such as Tesla and Fermi series, are high. Moreover, these graphics cards all installed in personal computers or servers, and then the immediate and mobility requirements can not be provided by this platform. NVIDIA Jetson TK1 (Tegra K1) is a full-featured platform for embedded applications and it contains 192 CUDA Cores (Kepler CPU). Due to its low cost, low power consumption and high applicability, NVIDIA Jetson TK1 has become a new research direction. In this paper, we construct a mobility and acceleration computing platform with NVIDIA Jetson TK1. Besides, two tools, ClustalWtk and MCCtk are designed based on NVIDIA Jetson TK1. these tools both can achieve 3 and 4 times speedup ratios on single NVIDIA Jetson TK1 by comparing with their CPU versions on Intel XEON E5-2650 CPU and ARM Cortex-A15 CPU, respectively. Moreover, the cost-performance ratio by NVIDIA Jetson TK1 is higher than that by NVIDIA Tesla K20m. In addition, the user friendly interfaces are also provided by these two tools, respectively.

关键词： NVIDIA Jetson TK1 CUDA Mutliple Sequence Alginment Compound Comparison parallel processing

来源：评论

学校读者我要写书评

暂无评论

Real-Time Non-rigid Registration of Medical Images on a Cooperative parallel Architecture

Real-Time Non-rigid Registration of Medical Images on a Coop...

引用

IEEE international conference on Bioinformatics and Biomedicine (BIBM)

作者： Yixun Liu Andriy Fedorov Ron Kikinis Nikos Chrisochoides Department of Computer Science College of William and Mary Williamsburg USA Surgical Planning Laboratory Brigham and Women''s Hospital Boston USA

Unacceptable execution time of Non-rigid registration (NRR) often presents a major obstacle to its routine clinical use. parallel computing is an effective way to accelerate NRR. However, development of efficient parallel NRR codes is a very challenging task. One desirable approach is to map the existing sequential algorithm to the parallel architecture to gain speedup instead of designing a new parallel algorithm. Multicores and GPU provide us a cooperative architecture, in which both Single Instruction Multiple Data (SIMD) and Single Program Multiple Data (SPMD) programming models can co-exist and complement each other. We present a method to parallelize a NRR on this cooperative architecture. Our approach is first to separate the sequential algorithm into regular and irregular parts. We then map the regular part on GPU following SIMD paradigm and irregular part on multicores in a SPMD fashion. Unlike the approaches that use multicores or GPU alone, our approach leads to desirable speedup for the whole application by taking advantage of all components of the cooperative parallel architecture, for all individual parts of the application. this helps us to get closer to our goal: cheaper and faster NRR that leads to its more widespread use. the results on clinical brain MRI data show that the GPU-based Block Matching (regular part) can run at least 1.9 times faster than on a typical cluster of workstations with eight high-performance nodes. the multicores-based implementation of the incremental finite element solver (irregular part) achieves speedup of up to 7 times compared to its sequential version. As a result, the total run time of the NRR code can be reduced to less than 1 minute therefore satisfying the real time requirement for its clinical application.

关键词： Biomedical imaging parallel architectures Multicore processing parallel processing Acceleration Algorithm design and analysis parallel algorithms Magnetic resonance imaging Workstations Finite element methods

来源：评论

学校读者我要写书评

暂无评论

A PID-Optimized Olen Campton Beamforming Method

A PID-Optimized Olen Campton Beamforming Method

引用

IEEE international conference on Information Communication and Signal processing (ICICSP)

作者： Wei Si Hua Yi Xin Yang Yu Xuan Chen Xiang Hao Hou Shaanxi Key Laboratory of Underwater Information Technology Northwestern Polytechnical University Xi'an China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

An adaptive narrowband beamforming method based on proportional-integral-differential (PID) virtual interference control which is called PID-optimized Olen Campton beamforming method (PIDBF) is proposed, achieving high-precision and rapid low sidelobe beamforming. In the proposed algorithm, PID controlling gains are applied to iteratively adjust the virtual noise sources. thus, the Olen Campton beamforming method (OBF) is optimized by innovatively introducing PID control method in the iterative process of virtual interference sources, leading to faster and more stable sidelobe control. the superior performance of the proposed method is verified through a number of simulations.

关键词： PI control Array signal processing Optimization methods Process control Interference parallel processing Computational efficiency PD control Sensor arrays Convergence

来源：评论

学校读者我要写书评

暂无评论

Prototyping of Low-Cost Configurable Sparse Neural processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array

Prototyping of Low-Cost Configurable Sparse Neural Processin...

引用

international conference on parallel and Distributed Systems (ICPADS)

作者： Binyi Wu Wolfgang Furtner Bernd Waschneck Christian Mayr Faculty of Electrical and Computer Engineering Technische Universit¨at Dresden Dresden Germany Division of Power and Sensor Systems Infineon Technologies Munich Germany Centre for Tactile Internet with Human-in-the-loop (CeTI) Technische Universität Dresden Dresden Germany

More recently, it has become possible to run deep learning algorithms on edge devices such as microcontrollers due to continuous improvements in neural network optimization algorithms such as quantization and neural architecture search. Nonetheless, most of the embedded hardware available today still falls short of the requirements of running deep neural networks. As a result, specialized processors have emerged to improve the inference efficiency of deep learning algorithms. However, most are not for edge applications that require efficient and low-cost hardware. therefore, we design and prototype a low-cost configurable sparse Neural processing Unit (NPU). the NPU has a built-in buffer and a reshapable mixed-precision multiply-accumulator (MAC) array. the computing and memory resources of the NPU are parameterized, and different NPUs can be derived. Besides, users can also conFigure the NPU at runtime to fully utilize the resources. In our experiments, the 200MHz NPU with only 32 MACs is more than 32 times faster than the 400MHzSTM32H7 when inferring MobileNet-Vl. Besides, the yielded NPUs can achieve roofline or even beyond roofline performance. the buffer and reshapeable MAC array push the NPU’s attainable performance to the roofline, while the feature of supporting sparsity allows the NPU to obtain performance beyond the roofline.

关键词： Deep learning Runtime Quantization (signal) Program processors Neural networks Random access memory Prototypes

来源：评论

学校读者我要写书评

暂无评论

CPU and GPU Implementation of QCD by using OpenCL

CPU and GPU Implementation of QCD by using OpenCL

引用

7th international conference on Computer Science and Information Technology(ICCSIT’2015)

作者： J.Sa B.Noh H.Kim D.Choi S.Lee Y.Chung D.Kim H.Jang Department of Computer and Information Science Korea University Department of Physics Gangneung-Wonju National University Korea Institute of Science and Technology Information (KISTI)

Recently, many particle physics applications can be parallelized by using multicore platforms such as CPU and GPU. In this paper, we propose a parallel processing approach for Quantum Chromo Dynamics(QCD) application by using both CPU and GPU. Instead of distributing the parallelizable workload to either CPU or GPU, we distribute the workload simultaneously into both CPU and GPU by using Open CL. Based on the experimental results with the lattice QCD code, we confirm that the proposed parallel processing approach can provide better performance than the typical parallel processing approach by utilizing the given resource maximally.

关键词： QCD,parallel processing,Open CL

来源：评论

学校读者我要写书评

暂无评论

A High-Speed Pipelined Architecture for Block Motion Estimation Using Hexagon-Based Search Algorithm

A High-Speed Pipelined Architecture for Block Motion Estimat...

引用

IEEE India conference (INDICON)

作者： Raveesh Garg Karri Babu Ravi Teja Department of Electrical and Electronics Engineering Birla Institute of Technology and Science Pilani Pilani India

ISBN: (纸本)9781538682364

Motion Estimation is the most time-consuming part in an H.264 video codec. Accelerated motion estimation can reduce the video compression time significantly. In this paper, we propose a high-speed parallel and pipelined architecture for motion estimation using hexagon-based search algorithm and synthesized it for Kintex-7 FPGA. the clock frequency required for the architecture is 198 MHz. this architecture is capable of processing 780k macro blocks (MB) per second to 2302k macroblocks per second which means the it can process a 1080×720 video at 216 fps to 637 fps so it can easily process a high-resolution HD video.

关键词： Motion estimation Computer architecture Pipeline processing Hardware Field programmable gate arrays Signal processing algorithms Adders

来源：评论

学校读者我要写书评

暂无评论

Language Comparison via Network Topology 1

引用

7th international conference on Statistical Language and Speech processing, SLSP 2019

作者： Škrlj, Blaž Pollak, Senja Jožef Stefan International Postgraduate School Ljubljana Slovenia Jožef Stefan Institute Ljubljana Slovenia Usher Institute Medical School University of Edinburgh Edinburgh United Kingdom

ISBN: (数字)9783030313722

ISBN: (纸本)9783030313715

Modeling relations between languages can offer understanding of language characteristics and uncover similarities and differences between languages. Automated methods applied to large textual corpora can be seen as opportunities for novel statistical studies of language development over time, as well as for improving cross-lingual natural language processing techniques. In this work, we first propose how to represent textual data as a directed, weighted network by the text2net algorithm. We next explore how various fast, network-topological metrics, such as network community structure, can be used for cross-lingual comparisons. In our experiments, we employ eight different network topology metrics, and empirically showcase on a parallel corpus, how the methods can be used for modeling the relations between nine selected languages. We demonstrate that the proposed method scales to large corpora consisting of hundreds of thousands of aligned sentences on an of-the-shelf laptop. We observe that on the one hand properties such as communities, capture some of the known differences between the languages, while others can be seen as novel opportunities for linguistic studies. © 2019, Springer Nature Switzerland AG.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

Counterfactual Gradients-based Quantification of Prediction ...

引用

IEEE conference on Multimedia Information processing and Retrieval (MIPR)

作者： Mohit Prabhushankar Ghassan AlRegib School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (数字)9798350351422

ISBN: (纸本)9798350351439

the widespread adoption of deep neural networks in machine learning calls for an objective quantification of esoteric trust. In this paper we propose GradTrust, a classification trust measure for large-scale neural networks at inference. the proposed method utilizes variance of counterfactual gradients, i.e. the required changes in the network parameters if the label were different. We show that GradTrust is superior to existing techniques for detecting misprediction rates on 50000 images from ImageNet validation dataset. Depending on the network, GradTrust detects images where either the ground truth is incorrect or ambiguous, or the classes are co-occurring. We extend GradTrust to Video Action Recognition on Kinetics-400 dataset. We showcase results on 14 architectures pretrained on ImageNet and 5 architectures pretrained on Kinetics-400. We observe the following: (i) simple methodologies like negative log likelihood and margin classifiers outperform state-of-the-art uncertainty and out-of-distribution detection techniques for misprediction rates, and (ii) the proposed GradTrust is in the Top-2 performing methods on 37 of the considered 38 experimental modalities. the code is available at: https://***/olivesgatech/GradTrust

关键词： Uncertainty Codes Current measurement Measurement uncertainty Machine learning Information processing Artificial neural networks Reliability

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298页 << < 282 283 284 285 286 287 288 289 290 291 > >>

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：