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

10,925 篇 会议
277 篇 期刊文献
26 册 图书

馆藏范围

11,228 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,461 篇 工学
- 5,202 篇 计算机科学与技术...
- 2,309 篇 软件工程
- 883 篇 电气工程
- 569 篇 信息与通信工程
- 252 篇 控制科学与工程
- 221 篇 电子科学与技术（可...
- 137 篇 网络空间安全
- 91 篇 机械工程
- 60 篇 生物工程
- 58 篇 动力工程及工程热...
- 52 篇 生物医学工程（可授...
- 46 篇 环境科学与工程（可...
- 45 篇 仪器科学与技术
- 41 篇 安全科学与工程
- 40 篇 建筑学
- 40 篇 测绘科学与技术
- 34 篇 化学工程与技术
- 33 篇 土木工程
- 32 篇 交通运输工程
1,034 篇 理学
- 814 篇 数学
- 121 篇 系统科学
- 116 篇 统计学（可授理学、...
- 83 篇 物理学
- 70 篇 生物学
- 48 篇 化学
- 41 篇 地球物理学
988 篇 管理学
- 843 篇 管理科学与工程(可...
- 285 篇 工商管理
- 176 篇 图书情报与档案管...
57 篇 经济学
- 54 篇 应用经济学
36 篇 法学
26 篇 医学
21 篇 农学
9 篇 教育学
6 篇 文学
3 篇 艺术学
2 篇 军事学

主题

1,705 篇 concurrent compu...
1,581 篇 distributed comp...
1,152 篇 parallel process...
985 篇 computer science
963 篇 computational mo...
873 篇 computer archite...
860 篇 application soft...
725 篇 grid computing
597 篇 high performance...
591 篇 hardware
530 篇 processor schedu...
488 篇 computer network...
456 篇 resource managem...
428 篇 scalability
399 篇 costs
395 篇 bandwidth
394 篇 runtime
384 篇 parallel program...
367 篇 peer to peer com...
356 篇 delay

机构

47 篇 college of compu...
40 篇 institute of com...
30 篇 oak ridge natl l...
29 篇 ibm thomas j. wa...
25 篇 institute of com...
23 篇 inria
23 篇 oak ridge nation...
22 篇 school of comput...
21 篇 mathematics and ...
18 篇 argonne natl lab...
18 篇 department of co...
18 篇 department of co...
18 篇 tokyo institute ...
17 篇 department of co...
17 篇 georgia inst tec...
17 篇 iit dept comp sc...
16 篇 univ chinese aca...
16 篇 lawrence berkele...
16 篇 department of co...
15 篇 department of co...

作者

32 篇 dongarra jack
30 篇 jack dongarra
23 篇 p. sadayappan
21 篇 a. choudhary
21 篇 david a. bader
20 篇 maciejewski anth...
19 篇 feng wu-chun
18 篇 dhabaleswar k. p...
18 篇 hoefler torsten
17 篇 p. banerjee
17 篇 h. casanova
17 篇 bader david a.
17 篇 howard jay siege...
17 篇 schulz martin
17 篇 panda dhabaleswa...
15 篇 s.k. das
15 篇 h.j. siegel
15 篇 hai jin
14 篇 gopalakrishnan g...
14 篇 alexey lastovets...

语言

11,093 篇 英文
125 篇 其他
10 篇 中文

检索条件"任意字段=International Symposium on Parallel and Distributed Computing"

共 11228 条记录，以下是1211-1220 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：

parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems

Parallel Bayesian Optimization for Optimal Scheduling of Und...

引用

IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Maxime Gobert Jan Gmys Jean– Franç ois Toubeau Nouredine Melab Daniel Tuyttens Franç ois Vallé e Mathematics and Operational Research University of Mons Mons Belgium INRIA Lille - Nord Europe Universit&#x00E9 de Lille CNRS/CRIStAL Lille France Power Systems and Markets Research University of Mons Mons Belgium Universit&#x00E9 de Lille CNRS/CRIStAL INRIA Lille - Nord Europe Lille France

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

Underground Pumped Hydro-Energy Storage stations are sustainable options to enhance storage capacity and thus the flexibility of energy systems. Efficient management of such units requires high-performance optimization algorithms able to find solutions in a very restricted timing to comply with the responsive energy markets. In this context, parallel computing offers a valuable solution to ensure appropriate decisions that maximize the profit of the station operator, while guaranteeing the safety of the energy network. This study investigates the use of three existing algorithms in parallel Bayesian Optimization, namely q-EGO, BSP-EGO and TuRBO. The three algorithms have different inherent behaviors in terms of parallel potential and, even though TuRBO scales better, q-EGO remains the best choice regarding the final outcomes for all investigated batch sizes and manages to get up to 5 times more profits than other approaches.

关键词： distributed processing Conferences Optimal scheduling parallel processing Bayes methods Timing Safety

来源：评论

学校读者我要写书评

暂无评论

Accelerating Encrypted computing on Intel GPUs

Accelerating Encrypted Computing on Intel GPUs

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Yujia Zhai Mohannad Ibrahim Yiqin Qiu Fabian Boemer Zizhong Chen Alexey Titov Alexander Lyashevsky University of California Riverside CA USA North Carolina State University Raleigh NC USA Intel Corporation Santa Clara CA USA

Homomorphic Encryption (HE) is an emerging encryption scheme that allows computations to be performed directly on encrypted messages. This property provides promising applications such as privacy-preserving deep learning and cloud computing. Prior works have been proposed to enable practical privacy-preserving applications with architectural-aware optimizations on CPUs, CUDA-enabled GPUs and FPGAs. However, there is no systematic optimization for the whole HE pipeline on Intel GPUs. In this paper, we present the first-ever SYCL-based GPU backend for Microsoft SEAL APIs. We perform optimizations from instruction level, algorithmic level and application level to accelerate our HE library based on the Cheon, Kim, Kim and Song (CKKS) scheme on Intel GPUs. The performance is validated on two latest Intel GPUs. Experimental results show that our staged optimizations together with optimizations including low-level optimizations and kernel fusion accelerate the Number Theoretic Transform (NTT), a key algorithm for HE, by up to 9.93X compared with the naive GPU baseline. The roofline analysis confirms that our optimized NTT reaches 79.8% and 85.7% of the peak performance on two GPU devices. Through the highly optimized NTT and the assembly-level optimization, we obtain 2.32X – 3.05X acceleration for HE evaluation routines. In addition, our all-together systematic optimizations improve the performance of encrypted element-wise polynomial matrix multiplication application by up to 3.11X.

关键词： Performance evaluation Systematics Graphics processing units Seals Transforms Trademarks Libraries

来源：评论

学校读者我要写书评

暂无评论

A New Julia-Based parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics 24

A New Julia-Based Parallel Time-Domain Simulation Algorithm ...

引用

IEEE/ACM 24th international symposium on distributed Simulation and Real Time Applications (DS-RT)

作者： Kyesswa, Michael Schmurr, Philipp Cakmak, Hueseyin K. Kuehnapfel, Uwe Hagenmeyer, Veit Karlsruhe Inst Technol Inst Automat & Appl Informat Karlsruhe Germany

ISBN: (纸本)9781728173436

The present paper describes a new parallel time-domain simulation algorithm using a high performance computing environment - Julia - for the analysis of power system dynamics in large networks. The parallel algorithm adapts a parallel-in-space decomposition scheme to a previously sequential algorithm in order to develop a new parallelizable numerical solution of the power system equations. The parallel-in-space decomposition is based on the block bordered diagonal form, which reformulates the network admittance matrix into sub-blocks that can be solved in parallel. For the optimal spatial decomposition of the network, a new extended graph partitioning strategy is developed for load balancing and minimizing the communication between subnetworks. The new parallel simulation algorithm is tested using standard test networks of varying complexity. The simulation results are compared to those obtained from a sequential implementation in order to validate the solution accuracy and to determine the performance improvement in terms of computational speedup. Test simulations are conducted using the ForHLR II supercomputing cluster and show a huge potential in computational speedup with increasing network complexity.

关键词： Graph partitioning parallel computing power systems time-domain simulation transient stability analysis

来源：评论

学校读者我要写书评

暂无评论

Degree-Aware Kernels for computing Jaccard Weights on GPUs

Degree-Aware Kernels for Computing Jaccard Weights on GPUs

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Amro Alabsi Aljundi Taha Atahan Akyildiz Kamer Kaya Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkey

Graphs provide the ability to extract valuable met-rics from the structural properties of the underlying data they represent. One such metric is the Jaccard Weight of an edge, which is the ratio of the number of common neighbors of the edge's endpoints to the union of the endpoints' neighborhood. A naive implementation of Jaccard Weights computation has a complexity that scales with the number of edges in the graph times the square of the maximum degree. Recently, GPU-based parallel algorithms have been proposed for this problem. How-ever, these algorithms cannot overcome the structural variance within a graph, i.e., the sparsity pattern and degree imbalance, which directly translates to unbalanced work distribution across threads. In this work, we propose an optimized GPU-based algorithm with an ML-based work distribution model that mitigates the unbalanced work distribution. Our algorithm is shown to be up to 35x and on average 12x faster than the state of the art in practice while using less memory. In fact, we show that by manually tweaking the load distribution, a state-of-the-art implementation can be 5x faster. In addition, we propose a multi-core, shared-memory algorithm that applies a traditional but effective technique to improve the computation asymptotically and perform comparably to the GPU algorithms. Our code is available at https://***/SU-HPC/Jaccard-ML.

关键词： Measurement distributed processing Instruction sets Memory management Graphics processing units Complexity theory Data mining

来源：评论

学校读者我要写书评

暂无评论

Top-Down Performance Profiling on NVIDIA's GPUs

Top-Down Performance Profiling on NVIDIA's GPUs

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Alvaro Saiz Pablo Prieto Pablo Abad Jose Angel Gregorio Valentin Puente Computer Engineering Group Universidad de Cantabria Santander Spain

The rise of data-intensive algorithms, such as Machine Learning ones, has meant a strong diversification of Graphics Processing Units (GPU) in fields with intensive Data-Level parallelism. This trend, known as general-purpose computing on GPU (GP-GPU), makes the execution process on a GPU (seemingly simple in its architecture) far from trivial when targeting performance for many dissimilar applications. A proof of this is the existence of many profiling tools that help programmers to understand how to maximize hardware utilization. In contrast, this paper proposes a profiling tool focused on microarchitecture analysis under large sets of dissimilar applications. Therefore, the tool has a double objective. On the one hand, to check the suitability of a GPU for diverse sets of application kernels. On the other hand, to identify possible bottlenecks in a given GPU microarchitecture, facilitating the improvement of subsequent designs. For this purpose, using Top-Down methodology proposed by Intel for their CPUs as inspiration, we have defined a hierarchical organization for the execution pipeline of the GPU. The proposal makes use of the available hardware performance counters to identify how each component contributes to performance losses. We demonstrate the feasibility of the proposed methodology, analyzing how different modern NVIDIA architectures behave running relevant benchmarks, assessing in which microarchitecture component performance losses are the most significant.

关键词： Microarchitecture Machine learning algorithms Pipelines Graphics processing units Computer architecture Organizations parallel processing

来源：评论

学校读者我要写书评

暂无评论

A Scalable parallel Partition Tridiagonal Solver for Many-Core and Low B/F Processors

A Scalable Parallel Partition Tridiagonal Solver for Many-Co...

引用

IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Tatsuya Mitsuda Kenji Ono Graduate School and Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka Japan Research Institute for Information and Technology Kyushu University Fukuoka Japan

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

Tridiagonal systems are among the most fundamental computations in science, engineering, and mathematics, and one solver used in such systems is Tree Partitioning Reduction (TPR), which is a divide-and-conquer method that solves large-scale linear equations by dividing them and then computing the parts in parallel within different local memory threads. Herein, we propose an improved TPR algorithm that has a parallel cyclic reduction flavor, with which we reduced the number of algorithm steps by approximately half while simultaneously increasing arithmetic intensity and cache reusability. A performance evaluation conducted on an Intel Skylake-SP microprocessor showed a high hit ratio for the L1 cache and that our solver was as much as 31 times faster on 32 threads for 262144 equations. In the case of a Nvidia Tesla P100 GPU, our method processed 10 MRow/s more than TPR and cuSPARSE.

关键词： Performance evaluation Microprocessors Scalability Instruction sets Memory management Graphics processing units Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

A Framework for the Evaluation of parallel and distributed computing Educational Resources 34

A Framework for the Evaluation of Parallel and Distributed C...

引用

34th IEEE international parallel and distributed Processing symposium (IPDPS)

作者： Brown, David W. Ford, Vitaly Ghafoor, Sheikh K. Elmhurst Coll Comp Sci & Informat Syst Elmhurst IL 60126 USA Arcadia Univ Comp Sci & Math Glenside PA USA Tennessee Technol Univ Comp Sci Cookeville TN USA

ISBN: (纸本)9781728174457

This paper proposes a classification scheme for categorization of PDC educational resources. We have also proposed an evaluation framework for assessing the PDC resources. Under the proposed framework, each resource type has a set of criteria and an associated score. A PDC resource will obtain a score if evaluated under our proposed framework that is the sum of the scores of the criteria that the resource satisfies. The evaluation of whether a resource met a criterion is subjective. We have also presented our evaluation of PDC educational resources appropriate for CS1, CS2 (Computer Science 1 and 2), and DS/A (Data Structures and Algorithms) available on the web using our proposed framework.

关键词： PDC Educational Resource Resource Evaluation Framework CS1 CS2 DS/A

来源：评论

学校读者我要写书评

暂无评论

Comparison of MPI and Spark for Data Science Applications 34

Comparison of MPI and Spark for Data Science Applications

引用

34th IEEE international parallel and distributed Processing symposium (IPDPS)

作者： Saxena, Manvi Jha, Shweta Khan, Saba Rodgers, John Lindner, Peggy Gabriel, Edgar Univ Houston Parallel Software Technol Lab Dept Comp Sci Houston TX 77204 USA Univ Houston Dept Informat & Logist Technol Houston TX 77204 USA

ISBN: (纸本)9781728174457

Data Science applications represent a growing fraction of the scientific computing workload, many of them written in Python. The goal of this paper is to compare two popular parallel programming models, namely MPI and Apache Spark for Python based Data Science applications. The paper presents communication and file I/O microbenchmarks to evaluate the MPI support for Python applications, and uses two applications use-cases from Natural Language Processing to compare the performance of the MPI and the Spark versions. Our results indicate that the MPI version shows better scalability and performance than the PySpark version of the code. On the other hand, the MPI applications are significantly larger than their PySpark counterparts, and took significantly longer to develop due to the necessity to implement some of the built-in functionality provided by Spark.

关键词： High level languages

来源：评论

学校读者我要写书评

暂无评论

Evaluating Cloud Auto-Scaler Resource Allocation Planning Under High-Performance computing Workloads 18

Evaluating Cloud Auto-Scaler Resource Allocation Planning Un...

引用

18th IEEE Int Symp on parallel and distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom)

作者： Leochico, Kester John, Eugene Univ Texas San Antonio Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)9781665414852

In this paper, we analyze the effects of changing the workload mix and adjusting the average job runtime (as represented by the service rate) between one representative of high-performance computing workloads and one representative of web serving workloads on the performance of three cloud auto-scalers from the literature in an effort to better model the behavior of cloud auto-scalers under high-performance computing scenarios involving long-running jobs rather than short-lived jobs as in previous studies. The simulation and analysis was carried out using the Performance Evaluation framework for Auto-Scaling (PEAS), a cloud simulator framework for modeling the performance of cloud auto-scaling algorithms using scenario theory.

关键词： auto-scaling cloud computing scenario theory queuing theory

来源：评论

学校读者我要写书评

暂无评论

Performance Portability Evaluation of OpenCL Benchmarks across Intel and NVIDIA Platforms 34

Performance Portability Evaluation of OpenCL Benchmarks acro...

引用

34th IEEE international parallel and distributed Processing symposium (IPDPS)

作者： Bertoni, Colleen Kwack, JaeHyuk Applencourt, Thomas Ghadar, Yasarnan Honierding, Brian Knight, Christopher Videau, Brice Zheng, Huihuo Morozov, Vitali Parker, Scott Argonne Natl Lab Argonne Leadership Comp Facil Lemont IL 60439 USA

ISBN: (纸本)9781728174457

We evaluate the capabilities of vendor-provided OpenCL implementations for performance portability across multiple computing platforms. The Rodinia benchmark suite is used for this evaluation. We apply the metric defined by Pennycook et al., and we use roofline efficiency from the Roofline performance model as the "performance efficiency" in the metric's definition. We found that the delivered performance portability is similar for several benchmarks, even if the roofline-based performance efficiencies across platforms are very different among the benchmarks. To help distinguish between these instances, we extend the metric by adding the standard deviation of the performance efficiencies for each benchmark. We argue that the standard deviation gives additional insight into performance portability assessment since it adds the performance variability across platforms. Additionally, we discuss the challenges to measure performance portability associated with algorithms and system software. In terms of algorithms, we need to carefully construct the benchmarks and appropriately use the concurrency available on a platform. In terms of system software, we depend on the vendor performance tools to support the desired programming model and runtime to be able to measure the metrics of interest.

关键词： high performance computing performance efficiency performance portability roofline performance analysis OpenCL GPU

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 << < 118 119 120 121 122 123 124 125 126 127 > >>

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：