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

1,739 篇 会议
23 篇 期刊文献
7 册 图书

馆藏范围

1,769 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,208 篇 工学
- 1,099 篇 计算机科学与技术...
- 696 篇 软件工程
- 222 篇 信息与通信工程
- 164 篇 电气工程
- 122 篇 电子科学与技术（可...
- 98 篇 控制科学与工程
- 82 篇 生物工程
- 61 篇 动力工程及工程热...
- 49 篇 机械工程
- 46 篇 生物医学工程（可授...
- 32 篇 交通运输工程
- 31 篇 光学工程
- 29 篇 仪器科学与技术
- 25 篇 环境科学与工程（可...
- 24 篇 化学工程与技术
- 21 篇 网络空间安全
- 18 篇 安全科学与工程
- 17 篇 力学（可授工学、理...
498 篇 理学
- 321 篇 数学
- 96 篇 生物学
- 83 篇 系统科学
- 78 篇 物理学
- 72 篇 统计学（可授理学、...
- 34 篇 化学
270 篇 管理学
- 183 篇 管理科学与工程(可...
- 121 篇 图书情报与档案管...
- 116 篇 工商管理
62 篇 医学
- 55 篇 临床医学
36 篇 法学
- 35 篇 社会学
32 篇 经济学
- 32 篇 应用经济学
8 篇 教育学
6 篇 农学
3 篇 文学
2 篇 军事学

主题

198 篇 computer archite...
80 篇 hardware
79 篇 computational mo...
66 篇 high performance...
57 篇 cloud computing
50 篇 grid computing
41 篇 distributed comp...
41 篇 field programmab...
40 篇 bandwidth
37 篇 kernel
37 篇 graphics process...
34 篇 resource managem...
34 篇 computer network...
33 篇 performance eval...
32 篇 throughput
31 篇 computer science
31 篇 application soft...
31 篇 analytical model...
30 篇 program processo...
29 篇 supercomputers

机构

26 篇 college of compu...
19 篇 university of ch...
14 篇 school of comput...
10 篇 college of compu...
9 篇 school of comput...
9 篇 college of compu...
8 篇 school of comput...
7 篇 school of data a...
7 篇 school of comput...
7 篇 institute of com...
6 篇 computer network...
6 篇 tsinghua univers...
6 篇 school of cyber ...
6 篇 changsha univers...
5 篇 university of sc...
5 篇 skl of computer ...
5 篇 computer science...
5 篇 school of comput...
5 篇 hubei province k...
5 篇 zhongguancun lab...

作者

11 篇 duan yucong
7 篇 zhang tao
7 篇 li kenli
7 篇 xu xiaolong
6 篇 wang wei
6 篇 gao guang r.
5 篇 li peng
5 篇 yunquan zhang
5 篇 liu qin
5 篇 wang dong
5 篇 bader david a.
5 篇 liu ruicheng
5 篇 zhang rui
5 篇 wan shouhong
5 篇 wu jigang
5 篇 panda dhabaleswa...
5 篇 zhang jie
5 篇 wang xiaoliang
5 篇 chen long
5 篇 li wei

语言

1,714 篇 英文
51 篇 其他
3 篇 中文
1 篇 波兰文

检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

共 1769 条记录，以下是641-650 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：

The implementation and optimization of parallel linpack on multi-core vector accelerator 21

The implementation and optimization of parallel linpack on m...

引用

21st IEEE international Conference on high performance computing and Communications, 17th IEEE international Conference on Smart City and 5th IEEE international Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Liu, Zhong Tian, Xi Ma, Sheng College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781728120584

The Matrix2 Accelerator is a high performance multi-core vector processor for high-density computing. We design an efficient parallel implementation of the Linpack benchmark for the Matrix2. (1) We propose an efficient parallel matrix multiplication algorithm. It designs the optimal block parameters for the innermost sub-block matrix multiplication based on architecture characteristics of the Matrix2. It fully exploits multi-level parallelism including instruction-level parallelism, vector unit-level parallelism, and core-level parallelism;A vectorization method based on row computation for matrix multiplication is proposed, which avoids the inefficient column accesses and reduction summations between VPEs, and can obtain optimal kernel performance. (2) We propose an efficient parallel triangular matrix multiplication algorithm. It evenly distributes the irregular triangular matrix multiplication to different vector processing units, and fully leverage the computation capacity of the vector processor. It also supports in-place computation, which stores the result matrix into the space of the original multiplier matrix to save the memory consumption. (3) We propose an efficient parallel solving method of triangular equations. It significantly improves the computational efficiency by solving the equations in parallel using multiple cores. (4) We configure the L1D to a SRAM mode for finer software memory management. A data transfer strategy based on a two-level DMA double buffering scheme is proposed to optimize and smooth data transmission between different levels of the memory hierarchy. It allows the data movement to completely overlap with the kernel computation, allowing the kernel program to always run at peak speed. The experimental results on Matrix2 show that the efficiencies of double-precision parallel matrix multiplication, parallel triangular matrix multiplication, and Linpack computation are 96.08%, 91.47%, 84.58%, respectively. © 2019 IEEE.

关键词： Data transfer

来源：评论

学校读者我要写书评

暂无评论

G-SEPM: Building an Accurate and Efficient Soft Error Prediction Model for GPGPUs

G-SEPM: Building an Accurate and Efficient Soft Error Predic...

引用

Supercomputing Conference

作者： Hengshan Yue Xiaohui Wei Guangli Li Jianpeng Zhao Nan Jiang Jingweijia Tan College of Computer Science and Technology Jilin University Changchun Jilin China SKL Computer Architecture ICT CAS University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9781450384421

ISBN: (纸本)9781665483902

As GPUs become ubiquitous in large-scale general purpose HPC systems (GPGPUs), ensuring the reliable execution of such systems in the presence of soft errors is increasingly essential. To provide insights into how resilient GPU programs are toward soft errors, researchers typically rely on random Fault Injection (FI) to evaluate the tolerance of programs. However, it is expensive to obtain a statistically significant resilience profile and not suitable to identify all the error-critical fault sites of GPU programs. To address the above challenges, in this work, we build a GPGPU-based Soft Error Prediction Model (G-SEPM) that can replace FI to estimate the resilience characteristics of individual fault sites accurately and efficiently. We observe that the instruction-type, bit-position, bit-flip direction, and error propagation information have capabilities to characterize fault site resiliency. Leveraging these heuristic features, G-SEPM drives the machine learning model to reveal the hidden interactions among fault site resiliency and our observed features. Experimental results demonstrate that G-SEPM achieves high accuracy for fault site error estimation and critical fault site identification while introducing negligible overhead. In addition, G-SEPM can provide essential insight for programmers/architects to design more cost-effective soft error mitigation solutions.

关键词： Fault diagnosis Support vector machines Error analysis high performance computing Graphics processing units Estimation Predictive models

来源：评论

学校读者我要写书评

暂无评论

Impact of Large-Scale Correlated Failures on Multilevel Virtualized Networks

Impact of Large-Scale Correlated Failures on Multilevel Virt...

引用

IEEE Workshop on high performance Switching and Routing

作者： Max G. Medina Mohammed J.F. Alenazi Egemen K. Çetinkaya Department of Electrical & Computer Eng. Missouri Univ. of Science and Technology Rolla MO USA Department of Computer Eng. King Saud University Riyadh Saudi Arabia Technology Architecture and Planning Verizon Basking Ridge NJ USA

ISBN: (数字)9781728148465

ISBN: (纸本)9781728148472

Communication network architectures have been evolving with increased programmability and virtualization of physical infrastructures. While this evolution enables a faster introduction of new services and efficient utilization of resources, the complexities and interdependencies among the physical and virtual infrastructures, as well as the control and management planes, hinder a complete understanding of the system at hand. It is imperative, therefore, to model and study these evolving virtualized infrastructures. We propose a multilevel virtualized network embedding model and study its performance against correlated failures. Our analysis of multiple synthetic network models identified that grid-like infrastructures capture the realistic Internet2 structure the best.

关键词： Analytical models Topology Measurement Resilience Network architecture Cloud computing

来源：评论

学校读者我要写书评

暂无评论

A pseudo-random transform decomposition method for improving the coding compression ratio of test data 21

A pseudo-random transform decomposition method for improving...

引用

作者： Zhang, Minghe Kuang, Jishun Huang, Jing You, Zhiqiang College of Computer Science and Electronic Engineering Hunan University Changsha Hunan China

ISBN: (纸本)9781728120584

To improve the coding compression ratio of test data, this paper proposes a pseudo-random transform decomposition method for preprocessing test data. The method decomposes the test set (composed of test data) into a primary component set (PCS) and a residual component set (RCS) by a pseudo-random transform, and they are the same size as the decomposed test set. The RCS is easier to encode and store in the automatic test equipment than the original test set, while the PCS is compressed using on-chip linear feedback shift register coding. Experimental results show that the total average compression ratio using code-based schemes can be improved by 13.34%, and the average compression ratio of variable length input Huffman coding is as high as 78.08%. During testing, the on-chip test pattern generator that restores the original test patterns of the test set has the characteristics of a simple structure and affordable hardware overhead. © 2019 IEEE.

关键词： Shift registers

来源：评论

学校读者我要写书评

暂无评论

Bi-cluster: A high-performance data query framework for large-scale scientific data 21

Bi-cluster: A high-performance data query framework for larg...

引用

作者： Shen, Yixian Peng, Cheng Du, Yunfei Lu, Yutong National Supercomputer Center in Guangzhou School of Data and Computer Science Sun Yat-sen University Guangzhou China College of Computer National University of Defense Technology National Supercomputer Center in Guangzhou Changsha China

ISBN: (纸本)9781728120584

Emerging scientific computing generates massive amounts of scientific data by relying on high-performance computer systems, challenging data management and analysis. state-of-the-art query technology such as FastQuery supports directly indexing of scientific data but does not support in-situ index construction, build index extremely slow and generate huge volume index files. Block index technology coarsely retrieves a large amount of redundant data increasing the filtering overhead. Therefore, this paper proposes a high-performance query data framework for scientific data. In terms of index generation, a two-tier index data structure is designed to build the index in parallel to reduce the size of the index and speed up index generation. Meanwhile, an in-situ kernel index parallel strategy is proposed to build the index for online real-time generated data. In terms of data retrieval, a two-tier parallel query mechanism is designed to efficiently read data, and a dynamic union read strategy and an adaptive scheduling strategy are used to optimize the data retrieval process. Finally, the Bi-Cluster Framework is evaluated on scientific datasets, which proves that our design achieves good performance. The size of the index and index generation time is much smaller than FastQuery. In terms of retrieving data, data retrieval performance has improved a lot. The scalability of Bi-Cluster is pretty good by evaluating on 12288 cores. on scientific datasets, which proves that our design achieves good performance. The size of the index and index generation time is much smaller than FastQuery. In terms of retrieving data, data retrieval performance has improved a lot. The scalability of Bi-Cluster is pretty good by evaluating on 12288 cores. © 2019 IEEE.

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

A budget constraint incentive mechanism in spatial-temporal mobile crowdsensing 21

A budget constraint incentive mechanism in spatial-temporal ...

引用

作者： Kong, Xujiao Li, Peng Zhang, Tao Tu, Meimei Liu, Qin College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China Department of Computer Science New York Institute of Technology United States School of Cyber Science and Engineering Wuhan University China

ISBN: (纸本)9781728120584

Mobile crowdsensing is an effective way to collect sensing data about regions of interest. Effective incentive mechanisms are invaluable in mobile crowd sensing, for recruiting a number of mobile users to fulfill coverage requirement in the interested regions. In this paper, we exploit the potential of mobile users by designing a spatial-temporal crowd sensing incentive mechanism for smartphone users. We first use the logistic regression technique to mine user preferences from the user's historical data. Then, we propose a sub-module approximation algorithm to solve the participant recruitment problem, which is proved to be an NP-hard problem. Moreover, we design the winner auction algorithm (WAA) based on the reverse auction mechanism to solve the critical payment allocation problem. Finally, we demonstrate that our mechanism achieves truthfulness, individual rationality, and high computation efficiency through both theoretical analysis and experimental simulation. © 2019 IEEE.

关键词： Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

performance modelling and optimization of controller cluster deployments in software-defined WAN 21

Performance modelling and optimization of controller cluster...

引用

作者： Zhao, Jinyuan Hu, Zhigang Xiong, Bing Zheng, Meiguang School of Computer Science and Engineering Central South University Changsha410075 China School of Computer and Communication Hunan Institute of Engineering Xiangtan411104 China School of Computer AND Communication Engineering Changsha University of Science AND Technology Changsha410114 China Department of Computer and Information Sciences Temple University Philadelphia19122 United States

ISBN: (纸本)9781728120584

As a novel network paradigm, Software-Defined Networking (SDN) decouples control logic from data forwarding devices, and introduces a separate control plane to manipulate substrate switches via southbound interface typically OpenFlow. This paradigm offers numerous benefits for wide area networks (WAN), like promoting application performance and reducing deployment costs, but gives rise to severe performance bottlenecks of logically centralized control plane. This paper is motivated to propose an accurate performance model of controller clusters in software-defined WAN. In particular, we model the packet-in message processing of a controller cluster as an M/M/n queue based on investigations into its packet-in message arrival process. Subsequently, we build an optimization model of controller cluster deployments, and solve the optimal number of controllers in the cluster based on the proof of the convexity of its objective function. Finally, our proposed queueing model is evaluated with the prevalent controller benchmark OFsuite-performance by experiments. Experimental results indicate that our proposed model provides a more accurate approximation of controller cluster performance. Moreover, we obtain the optimal number of controllers in the cluster for different varying parameters, which offers guidelines for controller cluster deployments in software-defined WAN. © 2019 IEEE.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Research on adoption of gene-disease identification and recognition phenotype process in high-performance computing and Applications (HPCA) research 21

Research on adoption of gene-disease identification and reco...

引用

作者： Abed, Alshreef Yuan, Jingling Li, Lin Mbyamm, Mesmin Junior K. Department of Computer and Science Technology Wuhan University of Technology Wuhan China Department of Computer and Science Technology Beijing University of Technology Beijing China

ISBN: (纸本)9781728120584

The research contribution of high-performance computing and Applications (HPCA), combined with biomedical text related to generic and phenotypes, has been published at various levels to optimize user demand. However, there is still a huge challenge in eliminating ambiguities that occur in biomedical text mining due to the use of the same expression in the investigation of the genes disease. This article uses two combined approaches that represent identification and detection in high-performance computing and Applications (HPCA) system for the evaluation of gene-disease and phenotype processes in biomedicine. The Current approaches use machine learning as a positive training phrase P and a gene as the negative training set N for identification, but these approaches are only of the low-noise negative set which is the performance of the quality of the HPCA System affects, our first contribution paper proposes a new implementation based on positive unlabeled Disease gene Identification (PUDI) to construct our classifier. The second contribution we introduce high precision and recall values which achieve term classification accuracy between 0.96 and 0.99, precision values between 0.95 and 0.99, and recall values between 0.96 and 0.99. Definitively, the F-score value obtained confirmed outperformed results on the classifiers with high accuracy over a wide range of parameters. © 2019 IEEE.

关键词： Genes

来源：评论

学校读者我要写书评

暂无评论

Energy efficient cooperative edge computing with multi-source multi-relay devices 21

Energy efficient cooperative edge computing with multi-sourc...

引用

作者： Yao, Mianyang Chen, Long Liu, Tonglai Wu, Jigang School of Computer Science and Technology Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9781728120584

As the extension of cloud computing, multi-access edge computing (MEC) can better support applications to accomplish larger tasks. Existing works on energy optimization of MEC systems fail to utilize multi-relay diversity, which plays a vital role to reduce the computing power consumption of mobile devices by leveraging different offloading modes. In this paper, we propose a novel computing architecture with multi-source, multi-relay, and a single edge server in an orthogonal frequency division multiplexing access (OFDMA) wireless network. The application task on a mobile device can be calculated locally, offloaded to the relay device and completed on the relay device, offloaded to the edge server directly or via a relay device with cooperative communication and executed in the edge server. The two optimization targets are total energy consumption minimization problem, and maximum energy consumption per source-relay pair devices minimization problem. For the first sub-problem, we design an optimal total energy consumption algorithm (OTCA) based on bipartite matching. The optimal energy consumption assignment algorithm (OECAA) is designed for the second sub-problem with an approximation ratio of (1+ϵ). Extensive simulation results show that OTCA outperforms random algorithm by 53.14% on the reduction of total energy consumption, and algorithm OECAA outperforms OTCA by 30.58% on the reduction of maximum energy consumption per source-relay pair devices. © 2019 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Efficient large-scale 1d FFT vectorization on multi-core vector accelerator 21

Efficient large-scale 1d FFT vectorization on multi-core vec...

引用

作者： Liu, Zhong Tian, Xi Chen, Xiaowen Lei, Yuanwu Liao, Man College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781728120584

The Matrix2 Accelerator is a high-performance multi-core vector processor for high-density computing that supports fused multiply-add instructions. We propose an efficient large-scale 1D FFT vectorization method according to the architecture characteristics of Matrix2. (1) An FFT vectorization method based on fused multiply-add instruction is proposed to accelerate FFT computation. By transforming the operation flow of FFT butterfly computation, the independent multiplication and addition operations in the traditional FFT computation method are combined into a smaller number of fused multiply-add operations. It reduces the number of the real floating-point operations in radix-2 FFT butterfly computation from original 10 multiplication/addition operations to 6 fused multiply-add operations, and reduces the number of the real floating-point operations in radix-4 FFT butterfly computation from original 34 multiplication/addition operations to 24 fused multiply-add operations. (2) An FFT vectorization method based on matrix Fourier algorithm is designed, which converts 1D FFT computation into 2D FFT computation. It contains three steps: column FFT computation, multiplication of the column FFT computation result and a factor matrix, row FFT computation. These three steps are all vectorized. (3) A factor matrix data layout and updating method is proposed, which can greatly reduce the memory capacity for factor matrix. It can avoid multiple data transmissions between the vector array memory and the global cache by combining the column FFT computation with the factor matrix multiplication, thus significantly improving the computational efficiency of FFT. (4) A double buffering DMA mechanism is adopted to optimize and smooth the data transmission between the multi-level storage structures, and the data transmission time is overlapped with the computation time so as to reduce the total computation time. The experimental results on Matrix2 show that the proposed vectorization

关键词： Fast Fourier transforms

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177页 << < 61 62 63 64 65 66 67 68 69 70 > >>

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：