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

16,984 篇 会议
188 篇 期刊文献
107 册 图书

馆藏范围

17,279 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,602 篇 工学
- 9,485 篇 计算机科学与技术...
- 3,971 篇 软件工程
- 2,485 篇 电气工程
- 2,155 篇 信息与通信工程
- 641 篇 控制科学与工程
- 611 篇 电子科学与技术（可...
- 330 篇 生物工程
- 292 篇 机械工程
- 214 篇 仪器科学与技术
- 202 篇 动力工程及工程热...
- 169 篇 生物医学工程（可授...
- 119 篇 光学工程
- 114 篇 材料科学与工程（可...
- 110 篇 网络空间安全
- 106 篇 建筑学
- 106 篇 交通运输工程
- 95 篇 土木工程
2,070 篇 理学
- 1,291 篇 数学
- 387 篇 生物学
- 367 篇 物理学
- 258 篇 统计学（可授理学、...
- 234 篇 系统科学
- 95 篇 化学
1,304 篇 管理学
- 980 篇 管理科学与工程(可...
- 384 篇 图书情报与档案管...
- 382 篇 工商管理
196 篇 医学
- 151 篇 临床医学
162 篇 农学
- 123 篇 作物学
123 篇 经济学
- 123 篇 应用经济学
118 篇 法学
- 94 篇 社会学
35 篇 教育学
24 篇 文学
21 篇 军事学
5 篇 艺术学
1 篇 历史学

主题

1,297 篇 parallel process...
1,021 篇 concurrent compu...
960 篇 computer network...
787 篇 distributed comp...
763 篇 computer archite...
678 篇 cloud computing
670 篇 computational mo...
648 篇 network topology
598 篇 routing
569 篇 computer science
506 篇 neural networks
478 篇 peer to peer com...
467 篇 bandwidth
415 篇 application soft...
370 篇 protocols
365 篇 scalability
345 篇 hardware
316 篇 network servers
313 篇 grid computing
305 篇 parallel computi...

机构

66 篇 university of ch...
57 篇 institute of com...
36 篇 univ chinese aca...
31 篇 computer network...
30 篇 shandong provinc...
25 篇 school of comput...
24 篇 tsinghua univ de...
23 篇 school of comput...
23 篇 institute of inf...
22 篇 chinese acad sci...
22 篇 institute of com...
21 篇 department of co...
20 篇 school of comput...
20 篇 college of intel...
19 篇 tsinghua univers...
19 篇 shanghai jiao to...
19 篇 department of co...
19 篇 beijing univ pos...
18 篇 college of compu...
17 篇 chinese acad sci...

作者

19 篇 liu yang
19 篇 li dongsheng
19 篇 koibuchi michihi...
17 篇 liu jie
16 篇 shietung peng
15 篇 yang yang
14 篇 dhabaleswar k. p...
14 篇 wang guojun
14 篇 xiao limin
13 篇 m. takizawa
13 篇 li qiang
13 篇 wanlei zhou
13 篇 wang wei
12 篇 depei qian
12 篇 wang lei
12 篇 li xin
12 篇 yang jun
12 篇 hoefler torsten
12 篇 wu jie
12 篇 yamin li

语言

17,125 篇 英文
98 篇 其他
59 篇 中文
2 篇 俄文
1 篇 西班牙文
1 篇 法文
1 篇 葡萄牙文
1 篇 乌克兰文

检索条件"任意字段=IFIP International Conference on Network and Parallel Computing"

共 17279 条记录，以下是181-190 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：

Improving Cloud Energy Efficiency through Machine Learning Models

Improving Cloud Energy Efficiency through Machine Learning M...

引用

Euromicro conference on parallel, Distributed and network-Based Processing

作者： Eugenio Cesario Paolo Lindia Federica Lobello Andrea Vinci Shabnam Zarin Santina Capalbo DICES Department University of Calabria Rende Italy DIMES Department University of Calabria Rende Italy CNRNational Research Council of Italy Institute for HPC and Networking (ICAR) Rende Italy Computer Science Department Monmouth University West Long Branch NJ USA

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The rapid growth of Cloud computing and the expansion of large data centers have led to significant increases in energy consumption for hardware and cooling systems. This surge in power usage has raised operational costs, making energy efficiency a pressing issue for data center management. Virtual Machines (VMs) consolidation is a widely studied strategy to mitigate these costs by minimizing the number of active physical servers while maintaining user Service Level Agreements (SLAs). However, the success of consolidation largely depends on accurately forecasting VM resource needs. This paper presents the design and development of an energy-aware VMs allocation system that leverages predictive machine learning models to forecast future computational demands (CPU) of each VM. By anticipating these needs, the system optimally allocates VMs to available servers, effectively balancing energy savings with performance. A preliminary experimental evaluation, conducted on synthetic data, leverages predictive modeling within a server simulation to assess CPU and energy usage, demonstrating the effectiveness of energy-aware VMs allocation in optimizing resource utilization and reducing energy consumption.

关键词： Energy consumption Data centers Cloud computing Machine learning Predictive models Virtual machines Energy efficiency Servers Resource management Optimization

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis and Predictive Modeling of MPI Collective Algorithms in Multi-Core Clusters: A Comparative Study

Performance Analysis and Predictive Modeling of MPI Collecti...

引用

international Communication Systems and networks and Workshops, COMSNETS

作者： Manideep Raya V S R S Reddy Sanjay Ramapogu Raju Girish K K Biswajit Bhowmik Department of Computer Science and Engineering Maharshi Sushrut CAS Lab BRICS Lab National Institute of Technology Karnataka Surathkal Mangalore Bharat

ISBN: (数字)9798331531195

ISBN: (纸本)9798331531201

Efficient communication is the foundation of parallel computing systems, enabling seamless coordination across multiple processors for optimal performance. At the core of this communication lies the Message Passing Interface, a crucial framework designed to facilitate data exchange between processors through collective operations. However, these MPI operations often face challenges, including fluctuating process counts, varying message sizes, and increased communication overhead. These issues can significantly impact execution times and scalability, leading to potential bottlenecks in large-scale systems. To address these concerns, this paper provides an in-depth evaluation of key MPI collective algorithms—Flat Tree, Chain, and Binary Tree—by examining their performance under varying configurations. By analyzing execution times and communication overhead, the study reveals the trade-offs inherent in each algorithm, offering insights into strategies for reducing communication costs. Through this analysis, we aim to provide valuable guidance to improve the efficiency and scalability of parallel computing, particularly in high-performance systems where communication efficiency is critical.

关键词： Program processors network topology Scalability Message passing Clustering algorithms parallel processing Predictive models Prediction algorithms Topology Performance analysis

来源：评论

学校读者我要写书评

暂无评论

A Performance Model of In-Situ Techniques

A Performance Model of In-Situ Techniques

引用

Euromicro conference on parallel, Distributed and network-Based Processing

作者： Yi Ju Nicolas Vidal Adalberto Perez Ana Gainaru Fred Suter Stefano Markidis Philipp Schlatter Scott Klaskyll Erwin Laure Max Planck Computing and Data Facility Oak Ridge National Laboratory Friedrich-Alexander-Universität Erlangen-Nürnberg KTH Royal Institute of Technology

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The computational capacity of High-Performance computing (HPC) systems increases continuously with the rapid development of central processing units (CPUs) and graphic processing units (GPUs), while the in-/output (IO) subsystem develops relatively slowly and storage capacity is also limited. Data-intensive applications, which are designed to leverage the high computational capacity of HPC resources, typically generate a considerable amount of data for post-processing visualizations and data analytics. The limited IO speed and storage space could lead to constraints in the actual performance of these applications and, therefore, scientific discovery. In-situ techniques, where data is visualized/analysed while still in memory rather than through disk, can contribute to alleviating these problems as they can reduce or even fully avoid data writing/reading through the IO subsystem to/from storage. However, the overall efficiency of insitu techniques crucially depends on the characteristics of both the in-situ tasks and the applications, and the resource distribution among them. Therefore, choosing the right in-situ approach (synchronous, asynchronous, or hybrid) and resource allocation is essential to minimize overhead and maximize the benefits of concurrent execution. In this paper, we present a performance model of in-situ techniques to find the most beneficial in-situ approach and the preferred resource configuration. We verify the high accuracy of our approach with over 6800 measurements and provide use cases with different applications.

关键词： Lead acid batteries Data analysis Accuracy High performance computing Graphics processing units Data visualization Central Processing Unit Resource management

来源：评论

学校读者我要写书评

暂无评论

GORC: A Graph Neural network Based Static Data Race Checker for OpenMP

GORC: A Graph Neural Network Based Static Data Race Checker ...

引用

ISC High Performance 2025 Research Paper Proceedings (40th international conference)

作者： Anh Tran Ignacio Laguna Konstantinos Parasyris Giorgis Georgakoudis Ganesh Gopalakrishnan Kahlert School of Computing University of Utah Utah USA Lawrence Livermore National Laboratory Center for Applied Scientific Computing California USA

ISBN: (数字)9783982633619

There is an unmet need for static data race checkers that can analyze incomplete programs typical of early program development stages, and are also easily to adapt to different parallel programming models. In this work, we present a novel race checking approach based on Graph Neural networks (GNN) called GORC that has these attributes. GORC is trained on PrograML control/data graph representations extracted from OpenMP programs that are labeled as racy or race-free, and helps predict races in unseen OpenMP programs. We provide a detailed evaluation of GORC, demonstrating that our approach can deliver high accuracy while also handling many more programs than existing static race checkers. Despite the scarcity of training data, GORC achieves a higher recall rate than LLOV, a widely cited static race checker for OpenMP. It outperforms state-of-the-art ML-based techniques for OpenMP data race detection on three different data-sets. This paper describes GORC's architecture, detailed evaluations, and a novel attribution study that confirms that GORC is learning features relevant to producing data race classifications.

关键词： Adaptation models Analytical models Accuracy parallel programming Training data Detectors Benchmark testing Graph neural networks Data models

来源：评论

学校读者我要写书评

暂无评论

Pragma driven shared memory parallelism in Zig by supporting OpenMP loop directives 24

Pragma driven shared memory parallelism in Zig by supporting...

引用

Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： David Kacs Joseph Lee Justs Zarins Nick Brown EPCC University of Edinburgh Edinburgh UK

ISBN: (纸本)9798350355543

The Zig programming language, which is designed to provide performance and safety as first class concerns, has become popular in recent years. Given that Zig is built upon LLVM, and-so enjoys many of the benefits provided by the ecosystem, including access to a rich set of backends, Zig has significant potential for high performance workloads. However, it is yet to gain acceptance in HPC and one of the reasons for this is that support for the pragma driven shared memory parallelism is *** this paper we describe enhancing the Zig compiler to add support for OpenMP loop directives. Then exploring performance using NASA's NAS parallel Benchmark (NPB) suite. We demonstrate that not only does our integration of OpenMP with Zig scale comparatively to Fortran and C reference implementations of NPB, but furthermore Zig provides up to a 1.25 times performance increase compared to Fortran.

关键词： High Performance computing

来源：评论

学校读者我要写书评

暂无评论

Toward Automated Detection of Portability Bugs in Kokkos parallel Programs 24

Toward Automated Detection of Portability Bugs in Kokkos Par...

引用

Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： Vivek Kale Hanru Yan Shyamali Mukherjee Jackson Mayo Keita Teranishi Richard Rutledge Alessandro Orso Sandia National Laboratories Livermore USA Georgia Institute of Technology Atlanta USA Oak Ridge National Labratory Oak Ridge USA

ISBN: (纸本)9798350355543

Performance-portable programming frameworks provide abstractions for parallel execution to allow easily porting an application to multiple backend programming models, such as CUDA, HIP, and OpenMP. However, programs may still have portability bugs that manifest only on specific backends. Traditional testing is ineffective in discovering these bugs, as it would require concrete execution on all supported hardware configurations for a potentially infinite set of inputs. To mitigate this issue, we focused on a specific programming framework, Kokkos, and identified several categories of common portability bugs. We then developed KLOKKOS, a static analysis approach based on symbolic execution that can run on commodity hardware, before execution on supercomputers. As a proof-of-concept, we ran KLOKKOS on examples encoding the identified bugs. Our results show that KLOKKOS is effective, efficient, and precise: it detected all the considered bugs, quickly, and without any false positives. Although preliminary, our results motivate further research and development in this direction.

关键词：

来源：评论

学校读者我要写书评

暂无评论

37th international conference on Computer Applications in Industry and Engineering, CAINE 2024

37th International Conference on Computer Applications in In...

引用

37th international conference on Computer Applications in Industry and Engineering, CAINE 2024

ISBN: (纸本)9783031762727

The proceedings contain 17 papers. The special focus in this conference is on Computer Applications in Industry and Engineering. The topics include: An Interactive Question Answer Based System on Alzheimer’s Disease Using Retrieval Augmented Generation;assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models;Evaluation of the Effectiveness of Prompts and Generative AI Responses;Securing RC Based P2P networks: A Blockchain-Based Access Control Framework Utilizing Ethereum Smart Contracts for IoT and Web 3.0;Integrating Blockchain-Based Security and Privacy with QML in Edge computing for 6G networks;an Analysis of Malicious Behaviors of Open-Source Packages Using Dynamic Analysis;accessible Cybersecurity Education Using Prompt Tree;bayesian Parameter Inference in Stochastic Biochemical Models Using Moment Approximations;introducing Multidimensional parallel Decoder to Reduce Cost of Implementation and Latency;introducing Novel parallel computing Using Orbital Data;image Segmentation network Based on Convolutional Layers, a Clustering Layer and Cluster Classification;Measuring API Usability and the Environment: A YouTube API Case Study;Enabling Seamless Healthcare Services with RC-Based Geographical Peer-to-Peer Fog Architecture in the Healthcare 4.0;applying Skyline Operator and Taxicab Geometry to Identify Optimal Locations for Establishing Business Properties;a New Pseudorandom Binary Generator Based on Nonlinear Feedback Registers with Boolean Function Combined Using Multiplexers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

COSMICA: a novel parallel GPU code for Cosmic Rays propagation in heliosphere

COSMICA: a novel parallel GPU code for Cosmic Rays propagati...

引用

Euromicro conference on parallel, Distributed and network-Based Processing

作者： Giovanni Cavallotto Stefano Della Torre Giuseppe La Vacca Massimo Gervasi Division of Milano-Bicocca ICSC - Centro Nazionale di Ricerca in HPC Big Data and Quantum Computing National Institute for Nuclear Physics (INFN) Department of Physics “Giuseppe Occhialini” University of Milano-Bicocca

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The complex structure of interplanetary magnetic fields and their variability, due to solar activity, make it necessary to compute the Cosmic Ray (CR) modulation with numerical simulations. COde for a Speedy Monte Carlo (MC) Involving Cuda Architecture (COSMICA) is a MC code, solving backward-in-time the system of Stochastic Differential Equations (SDE) equivalent to the Parker Transport Equation (PTE). The Graphics Processing Unit (GPU) parallelization of COSMICA code is a game changer in this field because it reduces the computational time of a standard simulation from the order of hundred of minutes to few of them. Furthermore, the code is capable of distributing the computations on clusters of machines with multiple GPUs, opening the way for scaling. In COSMICA we implemented the synchronous broadcasting of memory access for evolving variable samples, the rounding of virtual particle set numbers, to fulfil the GPU blocks, and the exploitation of shared memory to free registers. Furthermore, we compactify the mathematical computations and pass to the lighter momentum formulation of SDE. The first porting of the code on GPU architecture brings it to a speed-up of 40 X. The successful optimizations bring 1.5X speed-up.

关键词： Technological innovation Codes Systematics Computational modeling Graphics processing units Stochastic processes Computer architecture Optimization Cosmic rays Standards

来源：评论

学校读者我要写书评

暂无评论

Enhancing Scalability and Performance in Influence Maximization with Optimized parallel Processing 24

Enhancing Scalability and Performance in Influence Maximizat...

引用

Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： Hanjiang Wu Huan Xu Joongun Park Jesmin Jahan Tithi Fabio Checconi Jordi Wolfson-Pou Fabrizio Petrini Tushar Krishna Georgia Institute of Technology USA Intel Corporation

ISBN: (纸本)9798350355543

Influence Maximization (IM) is vital in viral marketing and biological network analysis for identifying key in-fluencers. Given its NP-hard nature, approximate solutions are employed. This paper addresses scalability challenges in scale-out shared memory system by focusing on the state-of-the-art Influence Maximization via Martingales (IMM) benchmark. To enhance the work efficiency of the current IMM implementation, we propose EFFICIENTIMM with key strategies, including new parallelization scheme, NUMA-aware memory usage, dynamic load balancing and fine-grained adaptive data structures. Benchmarking on a 128-core CPU system with 8 NUMA nodes, EFFICIENTIMM demonstrated significant performance improvements, achieving an average 5.9x speedup over Ripples across 8 diverse SNAP datasets, when compared to the best execution times of the original Ripples framework. Additionally, on the Youtube graph, EFFICIENTIMM demonstrates a better memory access pattern with 357.4x reduction in L1+L2 cache misses as compared to Ripples.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Workload-Adaptive Scheduling for Efficient Use of parallel File Systems in High-Performance computing Clusters 24

Workload-Adaptive Scheduling for Efficient Use of Parallel F...

引用

Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： Alexander V. Goponenko Benjamin A. Allan Jim M. Brandt Damian Dechev University of Central Florida Department of Computer Science Orlando FL USA Sandia National Laboratories Albuquerque NM USA

ISBN: (纸本)9798350355543

Whereas contentions within storage systems noticeably impact runtimes, shared bandwidth-type resources, such as Lustre, pose challenges for high-performance computing cluster schedulers. Additionally, accurately estimating job resource requirements, particularly related to I/O operations, remains a significant challenge for users. In response to these challenges, we have developed a prototype that facilitates I/O-aware scheduling in Slurm without imposing additional burdens on users. Accounting for the specific properties of this bandwidth-type resource, our system monitors real-time Lustre bandwidth utilization, estimates job I/O requirements, and dynamically adjusts to the demands placed on the file system. Our workload-adaptive scheduler aims to maintain the bandwidth utilization at a level that reflects the resource requirement of the job queue. We further enhance the efficacy of our approach by introducing a "two-group" approximation technique that ensures efficient performance regardless of the availability of zero-throughput jobs. We demonstrate effectiveness of our approach through evaluation on a real cluster.

关键词： High-performance computing

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 << < 15 16 17 18 19 20 21 22 23 24 > >>

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：