检索结果-内蒙古大学图书馆

4th high performance computing and Cluster Technologies Conference, HPCCT 2020 and the 3rd International Conference on Big Data and Artificial Intelligence, BDAI 2020

作者： Zhao, Tianhai Wang, Yunlan Wang, Xu Northwestern Polytechnical University School of Computer Science and Engineering Center for High Performance Computing Xi'an Shaanxi China

ISBN: (纸本)9781450375603

Communication plays an important role in MPI applications, and reduce operations are heavily used part of MPI. In this paper, we propose a k-nomial tree topology and a hierarchy tree topology to optimize the Reduce operation in MPI. The k-nomial tree can effectively decrease the communication steps and is suitable for lots of processes. Compared with the binomial tree algorithm in small and medium size messages, the Reduce operation performed by the k-nomial tree can improve communication performance by 46%. Hierarchy trees can dynamically group processes at run time to take advantage of high bandwidth to communicate as much as possible within nodes. The test results show that compared with the binomial tree algorithm, the performance of the hierarchy tree algorithm is stable. For Reduce operation, we can get a 30% performance improvement. © 2020 ACM.

关键词： Trees (mathematics)

来源：评论

学校读者我要写书评

暂无评论

Two-Level Scheduling Technology for Heterogeneous Clusters Using Analytical Hierarchy Processes 6

Two-Level Scheduling Technology for Heterogeneous Clusters U...

引用

6th IEEE International Conference on computer and Communication Systems, ICCCS 2021

作者： Zhao, Tianhai Gu, Jianhua Zhang, Xiaoyuan Northwestern Polytechnical University School of Computer Science and Engineering Center for High Performance Computing Xi'an Shanxi China

ISBN: (纸本)9780738126043

The cluster system presents multi-level and complex heterogeneous features with GPUs computing. Job scheduling technology determines computing resource utilization and throughput of the cluster system. On the basis of heterogeneous cluster system, the two-level scheduling technology is proposed in this paper. In the first level, a job priority scheduling algorithm based on user value is designed at the cluster level using analytical hierarchy processes. The second level of scheduling is to act on the computing nodes that contain GPUs, and design a scheduling algorithm based on GPU sharing policy that manages GPU jobs in a more fine-grained manner. Through experiments, it shows that the job priority scheduling algorithm based on user value can ensure that jobs with high user value are executed first, and fairness is guaranteed. The scheduling algorithm based on GPU sharing technology can significantly improve the utilization of GPU and video memory, reducing the average waiting time of jobs by 55.54% and the average turnaround time of jobs by 28.83%. © 2021 IEEE.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Combining RTT and ECN for RoCEv2 Protocol 20

Combining RTT and ECN for RoCEv2 Protocol

引用

4th high performance computing and Cluster Technologies Conference, HPCCT 2020 and the 3rd International Conference on Big Data and Artificial Intelligence, BDAI 2020

作者： Wang, Yunlan Lan, Ming Zhao, Tianhai Gao, Zhaokui Xie, Min School of Computer Science and Engineering Center for High Performance Computing Northwestern Polytechnical University Xi'an Shaanxi China

ISBN: (纸本)9781450375603

Remote direct memory access (RDMA) has the advantages of direct user-level access to HW, asynchronous communication, etc. RoCEv2 protocol enables RDMA technology to be used in large-scale data centers over Ethernet. It provides high throughput and low latency for data center, but it faces the problem of network congestion caused by RoCEv2 data flow. Efficient congestion control strategy plays an important role in the performance of RoCEv2 based data center network. At present, the network congestion control algorithms for RoCEv2 protocol are mainly based on ECN marked DCQCN and RTT based TIMELY. ECN and RTT have different characteristics and advantages. ECN is more effective to prevent packet losses;whereas RTT controls end-to-end queuing delay better. In this paper, a new algorithm RTT_DCQCN is presented for congestion control which is based on DCQCN. In RTT_DCQCN, the CNP generation mechanism and rate adjustment strategy are optimized;and the scheme of introducing RTT signal into DCQCN is proposed, in which the congestion degree is judged by using ECN and RTT together. The RoCEv2 protocol is implemented on ns-3 network simulation platform. The simulation experiment on ns-3 proved that RTT_DCQCN is valid for the aim of improving stability, fairness and throughput of the RoCEv2 data flows. © 2020 ACM.

关键词： Simulation platform

来源：评论

学校读者我要写书评

暂无评论

Using spatial correlations in distributed video coding

Using spatial correlations in distributed video coding

引用

International Symposium on Artificial Intelligence and Signal Processing

作者： Fathy, Mahmood Haqqani, Mohammad High Performance Computing Lab. Computer Engineering Department Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781424498345

Distributed video coding (DVC) is a new paradigm of coding that makes very interest to itself in the past decade. It's usually based on temporal correlations between successive frames which are called key frames. But this approach failed for high object motion in a scene and need very complex decoder to cover it. In this paper we propose a novel technique to use spatial correlation instead of temporal correlation in a frame by dividing a single frame to two sub frames which one of them is used as a key frame for generate side information at the decoder. Simulation results show a significant improvement on rate distortion parameter in DVC schema. © 2011 IEEE.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

performance evaluation of container-based high performance computing ecosystem using OpenPOWER 32nd

Performance evaluation of container-based high performance c...

引用

32nd International Conference on high performance computing, ISC high performance 2017

作者： Kuity, Animesh Peddoju, Sateesh Kumar High Performance Computing Lab Department of Computer Science and Engineering Indian Institute of Technology Roorkee247667 India

ISBN: (纸本)9783319676296

Container-based high performance computing (HPC) has started gaining popularity due to its almost negligible performance penalty compared to the BareMetal hardware. Although HPC hardware architectures and programming models are continuously evolving, the platform models are suffering from the HPC community’s awareness. Power-awareness, hardware and application-aware co-design along with security related concerns have attracted the most in recent time to empower the platform models. Otherside, the OpenPOWER ecosystems have stepped into our life to fulfill the thirst of exploiting the last drop of a performance benefit from our invested system. It has Power8 compliant processor with a larger cache, big fat instructions and data path accompanied by the popular coherent accelerator. In this paper, we have proposed a container-based HPC ecosystem established using OpenPOWER machine. The performance of the designed and developed ecosystem is evaluated stressing on different subcomponents of the system such as processor, memory, IO, and interconnect. Finally, the results are compared with the performance of the equivalent environments made of virtual machines and BareMetal hardware. © Springer International Publishing AG 2017.

关键词： Ecosystems

来源：评论

学校读者我要写书评

暂无评论

performance prediction based on hierarchy parallel features captured in multi-processing system 09

Performance prediction based on hierarchy parallel features ...

引用

18th ACM International Symposium on high performance Distributed computing, HPDC 09, Co-located with the 2009 International Symposium on high performance Distributed computing Conference, HPDC'09

作者： Jiaxin, Li Feng, Shi Ning, Deng Qi, Zuo High Performance Embedded Computing Lab. School of Computer Science and Technology Beijing Institute of Technology China

ISBN: (纸本)9781605585871

As the computing ability of high performance computers are improved by increasing the number of computing elements, how to utilize the available computing resources becomes an important issue. Different strategies to solve an problem based on a multi-processing system can bring about distinct performance. In this paper, we propose a method to predict the performance of parallel applications. The method describes the parallel features of the multi-processing systems in a hierarchy way, and evaluates solutions based on the description. In this way, programmers can find the better solution of an application before real programming.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

User-preferences based service selection model in large-scale services with various QoS properties

引用

Journal of Shanghai University(English Edition) 2011年第5期15卷 420-425页

作者：刘慧许东许德震雷州张龙 School of Computer Engineering and Science Shanghai University High Performance Computing Center Shanghai University Lenovo Mobile Communication Technology Limited

With the rapid growth of service scale, there are many services with the same functional properties but different non-flmctional properties on the Internet. There have been some global optimizing service selection algorithms for service selection. However, most of those approaches cannot fully reflect users＇ preferences or are not fully suitable for large-scale services selection. In this paper, an ant colony optimization （ACO） algorithm for the model of global optimizing service selection with various quality of srevice （QoS） properties is employed, and a user-preference based large-scale service selection algorithm is proposed. This algorithm aims at optimizing user-preferred QoS properties and selecting services that meet all user-defined QoS thresholds. Experiment results prove that this algorithm is very efficient in this regard.

关键词： service selection quilty of service （QoS） ant colony optimization （ACO）

来源：评论

学校读者我要写书评

暂无评论

Public participatory risk mapping for community-based urban disaster mitigation

Public participatory risk mapping for community-based urban ...

引用

2013 International Conference on Vehicle and Mechanical engineering and Information Technology, VMEIT 2013

作者： Jing, Li Liu, Xue Mei Gang, Liu High Performance Computing lab School of Information Science and Engineering Lanzhou University Lanzhou 730000 China

ISBN: (纸本)9783037858202

As crises happen more frequently and in bigger magnitudes in urban communities, disaster prevention and disaster mitigation become increasingly more important. One useful preventive measure is for community members to report relevant risk information before an actual crisis occurs. This paper presents a Public Participation GIS (PPGIS) system called Collaborative Risk Map System (CRMS), which is community based and through which local residents can report risk information of crisis events and share the information in disaster mitigation. Although the Internet and mobile phones are the preferred methods for public participation due to their convenience and ease of use, the feedback information needs to be filtered before usage, so we designed a credibility model to filter out the mendacious information. A risk model of crisis events is also proposed which transformed the static pre-planning to dynamic and timely risk map as a result of public participation. The risk state of the community and reliable risk feedback is displayed on the map using Oracle Spatial technology so that public can see the risk information visually. Through the analysis of risk information, the community can directly access reliable risk information easily and can prepare for it immediately. Most importantly, decision-makers can get the most up-to-date risk information and do more accurate risk analysis so as to make better informed decisions. We demonstrate the prototype system by selecting 20 places to be a community in Chengguan district in Lanzhou, the capital city in Gansu Province, China and selecting fire risk to evaluate its effectiveness and efficiency. © (2013) Trans Tech Publications, Switzerland.

关键词： Disaster prevention

来源：评论

学校读者我要写书评

暂无评论

Zigbee-based new approach to smart home

引用

Journal of Shanghai University(English Edition) 2010年第1期14卷 12-16页

作者：彭俊杰贺辉朱平安刘艳萍张学军金翊 School of Computer Engineering and Science Shanghai University High Performance Computing Center Shanghai University Qinghua Machinery Factory at Changzhi

Smart home is a promising solution to improving the quality of people＇s life. Much work has been done in the field, but most of these solutions are just based on home gateway, leaving much to be improved. One of its defects is the relatively high energy consuming and its radiation, and the other is that it is not available to the old home appliances which fail to access the internet. Full use of the low energy consuming characteristic of the Zigbee wireless sensor network, a completely new smart home solution is put forward in this paper. Without need of a home gateway and any modification for the currently used family appliances, the method uses the Zigbee coordinator as the central controller and the controllers of appliances as the end devices of Zigbee. It can realize a comfortable and smart home. Experiments show that the scheme proposed is feasible and it will be no doubt to be able to improve the quality of people＇s daily life.

关键词： wireless sensor network Zigbee smart home household appliances

来源：评论

学校读者我要写书评

暂无评论

Accelerating fluid flow in Quantum computing using GPU

Accelerating fluid flow in Quantum Computing using GPU

引用

2023 International Conference on computer, Electronics and Electrical engineering and their Applications, IC2E3 2023

作者： Dandin, Joel Chickerur, Satyadhyan Kle Technological University School of Computer Science and Engineering Hubballi India Kle Technological University Centre for High Performance Computing School of Computer Science and Engineering Hubballi India

ISBN: (纸本)9798350338003

In the last few years, quantum computing has evolved as the next big technological breakthrough. Many big companies are actively researching this area and have built open-source frameworks which can be used to develop solutions for problems that connect be solved by classical computers. One such problem is the solution of Navier-Stokes equations which takes exponential time for simulation but using quantum computers, they can be solved in polynomial time. But the current state of quantum computation does not enable everyone to test their implementation on a real quantum computer. In this situation, a simulator enables rapid prototype and testing techniques and algorithms for when the real quantum computer is ready. This paper focuses on simulating fluid flow algorithms using a quantum framework, such as Navier- Stokes equations, with the lattice Boltzmann method (LBM) used to numerically solve the relevant system of equations on both CPU and GPU to speed up the process. The quantum framework used in this paper is Qiskit, an open-source software development kit created by IBM that allows developers to create and test quantum algorithms. NVIDIA cuQuantum is an SDK of optimized libraries and tools for expediting quantum computing operations used in this paper to solve the fundamental problem of modeling large-size quantum circuits using the power of GPU © 2023 IEEE.

关键词： Navier Stokes equations

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：