检索结果-内蒙古大学图书馆

27th international conference on parallel and distributed computing, Euro-Par 2021

ISBN: (纸本)9783031061554

The proceedings contain 49 papers presendted at a virtual meeting. The special focus in this conference is on parallel and distributed computing. The topics include: Data Management Model to Program Irregular Compute Kernels on FPGA: Application to Heterogeneous distributed System;a distributed Game-Theoretic Approach to IaaS Cloud Brokering;continuous Self-adaptation of Control Policies in Automatic Cloud Management;Porting Sparse Linear Algebra to Intel GPUs;low-Overhead Reuse Distance Profiling Tool for Multicore;model-Based Loop Perforation;collaborative, distributed, Scalable and Low-Cost Platform Based on Microservices, Containers, Mobile Devices and Cloud Services to Solve Compute-Intensive Tasks;Scalable Hybrid parallel ILU Preconditioner to Solve Sparse Linear Systems;communication Overlapping Pipelined Conjugate Gradients for distributed Memory Systems and Heterogeneous Architectures;application-Based Fault Tolerance for Numerical Linear Algebra at Large Scale;parallelization and Auto-scheduling of Data Access Queries in ML Workloads;A Low Overhead Tasking Model for OpenMP;memory Efficient Deep Neural Network Training;Interferences Between Communications and Computations in distributed HPC Systems;enabling Support for Zero Copy Semantics in an Asynchronous Task-Based Programming Model;FleCSI 2.0: The Flexible Computational Science Infrastructure Project;An Experimental Study of SYCL Task Graph parallelism for Large-Scale Machine Learning Workloads;understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems;OpenMP Target Task: Tasking and Target Offloading on Heterogeneous Systems;towards Generating Realistic Trace for Simulating Functions-as-a-Service;SMART: A Tool for Trust and Reputation Management in Social Media;SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning;consistency Analysis of distributed Ledgers in Fog-Enhanced Blockchains;parallelizing Automatic Model Management S

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fast grid Emissions Sensitivities using parallel Decentralized Implicit Differentiation

Fast Grid Emissions Sensitivities using Parallel Decentraliz...

引用

2024 international conference on Communications Control and computing Technologies for Smart grids

作者： Degleris, Anthony Valenzuela, Lucas Fuentes Rajagopal, Ram Pavone, Marco El Gamal, Abbas Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Civil & Environm Engn Stanford CA USA Stanford Univ Dept Aeronaut & Astronaut Stanford CA USA

ISBN: (纸本)9798350318562;9798350318555

Marginal emissions rates-the sensitivity of carbon emissions to electricity demand-are important for evaluating the impact of emissions mitigation measures. Like locational marginal prices, locational marginal emissions rates (LMEs) can vary geographically, even between nearby locations, and may be coupled across time periods because of, for example, storage and ramping constraints. This temporal coupling makes computing LMEs computationally expensive for large electricity networks with high storage and renewable penetrations. Recent work demonstrates that decentralized algorithms can mitigate this problem by decoupling timesteps during differentiation. Unfortunately, we show these potential speedups are negated by the sparse structure inherent in power systems problems. We address these limitations by introducing a parallel, reversemode decentralized differentiation scheme that never explicitly instantiates the solution map Jacobian. We show both theoretically and empirically that parallelization is necessary to achieve non-trivial speedups when computing grid emissions sensitivities. Numerical results on a 500 node system indicate that our method can achieve greater than 10x speedups over centralized and serial decentralized approaches.

关键词： Sensitivity analysis distributed optimization implicit differentiation locational marginal emissions

来源：评论

学校读者我要写书评

暂无评论

Multi-GPU Radix Sort Algorithm in High Performance computing Environment 27

Multi-GPU Radix Sort Algorithm in High Performance Computing...

引用

27th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Sun Hongdi Jia Minzheng Gao Zhu Beijing Polytech Coll Beijing Peoples R China Beijing Guang Yu Online Technol Co Ltd Beijing Peoples R China

ISBN: (数字)9798350391954

ISBN: (纸本)9798350391961;9798350391954

Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallel computing. Nevertheless, as the data scale grows, the single GPU sorting algorithm is gradually demonstrating its performance bottlenecks. In the paper, an efficient radix sort algorithm based on multi-GPU parallel computing is proposed, which implements a strategy of using different bucket classifications on multiple GPUs to improve the sorting performance and efficiency of large-scale datasets. With the multi-GPU parallel computing, more buckets may be used for data classification in one traversal, effectively reducing data sorting times, lowering time complexity, and improving sorting speed and throughput. The experiment shows that the algorithm has significantly improved the operational efficiency, demonstrating good application prospects. Meanwhile, the algorithm herein also presents good scalability, which can adapt to the constantly growing data scale in the future.

关键词： Radix Sort Multi-GPU parallel computing Bucket Calculation Strategy

来源：评论

学校读者我要写书评

暂无评论

A Planning Approach of distributed Photovoltaic and Energy Storage Based on Improved Genetic Membrane computing 8

A Planning Approach of Distributed Photovoltaic and Energy S...

引用

8th international conference on Energy System, Electricity, and Power, ESEP 2023

作者： Wang, Nan Zhao, Wei Liu, Yiyuan Zhou, Guangqi Wang, Shibo Cheng, Yan State Grid Shandong Electric Power Company Electric Power Research Institute Shandong Jinan250002 China State Grid Jinan Power Supply Company Shandong Jinan250001 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

Aimed at the distributed wind turbine integrating energy storage planning in distribution network, an optimal planning approach considering the different benefits of distribution company and distributed generation investor is proposed. Meanwhile, in view of the excellent ability of parallel processing, an improved parallel membrane computing based on non-dominated sorting genetic algorithm II is proposed to overcome the drawbacks of traditional heuristic algorithms like prematurity and easy to be trapped into local optimization. It is confirmed in study cases that, with adopting the proposed planning approach, more practical and effective schemes of the site and capacity of distributed wind turbine and energy storage can be acquired. © 2024 SPIE.

关键词： Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

Research on communication mechanism optimization based on distributed graph computing environment 4

Research on communication mechanism optimization based on di...

引用

4th international conference on Big Data Economy and Information Management, BDEIM 2023

作者： Lin, Jianchao Cao, Chunna Ren, Chunhui State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd Beijing China

ISBN: (纸本)9798400716669

In recent years, with the rapid development of the Internet of Things, the Internet, and social networks, the storage of data in the network is growing at an explosive rate and is becoming more and more closely related to the real natural world. Driven by large-scale data mining and machine learning applications, distributed graph computing models that use graph data structures to describe data and relationships between data have been increasingly widely used. Therefore, this paper studies the optimization of communication mechanisms based on a distributed graph computing environment. Firstly, a BSP model based on a pure message-passing communication mechanism of a distributed graph computing system is established. Secondly, the optimization model is evaluated from two aspects: data communication and convergence condition judgment. Finally, large-scale data sets are used to test and evaluate performance optimization. The results show that this method can greatly improve the efficiency of graph parallel computing. © 2023 ACM.

关键词： BSP model distributed Graph Computation distributed system Graph processing parallel computing

来源：评论

学校读者我要写书评

暂无评论

22nd international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2021

22nd International Conference on Parallel and Distributed Co...

引用

22nd international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2021

ISBN: (纸本)9783030967710

The proceedings contain 58 papers. The special focus in this conference is on parallel and distributed computing, Applications and Technologies. The topics include: Traffic Matrix Prediction Based on Differential Privacy and LSTM;patient-Chain: Patient-centered Healthcare System a Blockchain-based Technology in Dealing with Emergencies;federated Data Integration for Heterogeneous Partitions Based on Differential Privacy;multimodal Fusion Representation Learning Based on Differential Privacy;bayesian Optimization-Based Task Scheduling Algorithm on Heterogeneous System;MOFIT: An Efficient Access Control Scheme with Attribute Merging and Outsourcing Capability for Fog-Enhanced IoT;enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification;jointly Super Resolution and Degradation Learning on Unpaired Real-World Images;roman Amphitheater Classification Using Convolutional Neural Network and Data Augmentation;Multi-zone Residential HVAC Control with Satisfying Occupants’ Thermal Comfort Requirements and Saving Energy via Reinforcement Learning;Evaluating the Performance and Conformance of a SYCL Implementation for SX-Aurora TSUBASA;distributed Fair k-Center Clustering Problems with Outliers;MACSQ: Massively Accelerated DeepQ Learning on GPUs Using On-the-fly State Construction;optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework;low Latency Execution Guarantee Under Uncertainty in Serverless Platforms;an Effective and Reliable Cross-Blockchain Data Migration Approach;A MVCC Approach to parallelizing Interoperability of Consortium Blockchain;realtime Physics Simulation of Large Virtual Space with Docker Containers;temperature Matrix-Based Data Placement Using Improved Hungarian Algorithm in Edge computing Environments;FastDCF: A Partial Index Based distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories;matching Program Implementations and Heterogeneous computing System

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analyzing the Impact of Cellular Network Delay on distributed Optimization of the Distribution grid

Analyzing the Impact of Cellular Network Delay on Distribute...

引用

2024 international conference on Communications Control and computing Technologies for Smart grids

作者： Inaolaji, Adedoyin Malandra, Filippo SUNY Buffalo Dept Elect Engn Buffalo NY USA

ISBN: (纸本)9798350318562;9798350318555

distributed optimization algorithms have revolutionized the decision-making process in distribution network management. Unlike their centralized counterparts, the effectiveness of distributed algorithms is significantly affected by the non-ideal states of communication networks used for data exchange. Hence, evaluating the resilience of distributed algorithms to communication imperfections is essential. Regarding this, this work examines the effectiveness of a distributed algorithm, named alternating direction method of multipliers (ADMM), in a three-phase unbalanced distribution system under the network delays of three popular cellular communication technologies. The performance assessment of the algorithm is done using the IEEE 123-bus test system by optimally scheduling the inverters connected to the network to achieve voltage deviation minimization. This analysis offers valuable understanding about the efficacy of the ADMM algorithm in terms of the solution quality, number of iterations, convergence rate and update frequency.

关键词： distributed Optimization Communication Delay Optimal Power Flow Distribution grids

来源：评论

学校读者我要写书评

暂无评论

Research on hybrid parallel technology of MPI combined with OpenMP for domestic supercomputing platforms

Research on hybrid parallel technology of MPI combined with ...

引用

2024 international conference on Algorithms, High Performance computing, and Artificial Intelligence, AHPCAI 2024

作者： Yang, Shiping Liu, Heng Zhu, Yongqing Zhong, Tianxuan Yangdong, Junming Guizhou Power Grid Co. Ltd. Power Grid Planning and Research Center Guizhou550002 China

ISBN: (纸本)9781510685840

Affected by load balancing and synchronization and mutual exclusion problems among threads, domestic supercomputing platforms are prone to reduced parallel efficiency. In this study, MPI combined with OpenMP hybrid parallel technology is adopted. First, the data is divided into multiple subtasks according to the time period, and a set of parallel processes is created using the MPI library function, with each process corresponding to a processor. Second, the MPI environment is initialized and communication channels and synchronization mechanisms are established. At the same time, the distributed memory system is utilized for cross-node communication and data exchange. Finally, by reasonably dividing tasks, data and communication, combined with appropriate thread management and synchronization mechanisms, efficient hybrid parallel computing can be achieved. The experimental results show that the use of MPI combined with OpenMP hybrid parallel technology can not only accelerate the computation speed, but also have good scalability. © 2024 SPIE.

关键词： Supercomputers

来源：评论

学校读者我要写书评

暂无评论

A Solution for conference Room Cluster Audio System Based on distributed Architecture 27

A Solution for Conference Room Cluster Audio System Based on...

引用

27th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Xu, Xiaoyi Zhang, Xin Wei, Zenglai Commun Univ China Sch Mus & Recording Arts Beijing Peoples R China Commun Univ China Sch Comp & Cyber Sci Beijing Peoples R China

ISBN: (纸本)9798350391961;9798350391954

With the rapid development of information technology, people have put forward higher requirements for the audio-visual experience and usage functions of conference spaces. The traditional, single-function conference room configuration can no longer adapt to the diverse needs of modern work and interactive activities. How to achieve efficient management and control, seamless interconnection, and resource sharing of audio systems across spaces, while ensuring the acoustic characteristics and flexibility of each independent space, has become a core issue that needs to be urgently resolved in building a multi-hall, multi-functional conference room cluster. Based on the audio system project of the Academic Center of the Communication University of China, this paper proposes a solution for a conference room cluster audio system based on a distributed architecture. This solution not only overcomes the limitations of traditional systems in terms of scalability, collaborative work, and resource scheduling but also promotes lossless transmission, real-time processing, and adaptive configuration of audio signals. Thus, it ensures the consistency and high quality of the audio experience within the entire cluster, providing practical guidance for the design and optimization of future conference room audio systems.

关键词： AoIP distributed architecture conference space cluster audio system

来源：评论

学校读者我要写书评

暂无评论

Hierarchical and distributed optimization of distribution network considering spatial and temporal distribution of electric vehicle charging load

引用

ENERGY REPORTS 2023年 9卷 308-322页

作者： Liu, Shu Fang, Chen Jia, Shicheng Xiang, Yueping Yang, Jianwei State Grid Shanghai Municipal Elect Power Co Shanghai 200122 Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu 611756 Peoples R China

With the increasing penetration of electric vehicles (EV) and distributed generations (DG) in distribution networks, operation and control of distribution networks (DN) is faced with many new challenges. Considering the remarkable characteristics of distribution network layered by voltage level and the spatial and temporal distribution of EV charging load, a hierarchical and distributed optimization method for DN is proposed. Firstly, the spatial and temporal distribution prediction model of EV charging load is established, which is composed of three parts: the resident travel probability model, the vehicle mobility model and traffic network model. Secondly, these three parts runs jointly to simulate the charging demand generated by EV, and then the charging load is connected to the charging station in the low-voltage distribution station area. Thirdly, considering the operation characteristics of the new energy units, energy storage system (ESS), DG and EV charging station, a dynamic economic dispatching model is established. Fourthly, according to the hierarchical operation characteristics of the medium- and low-voltage distribution network (MLV), a distributed optimization algorithm of DN is proposed to realize the hierarchical and decoupled calculation, which transforms the traditional centralized serial computing mode into distributed parallel computing mode, and improves the computing efficiency of the system. At last, the effectiveness and superiority of the proposed strategy are verified by the simulation test. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under theCCBY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Spatial and temporal distribution distributed optimization Medium and low voltage distribution network Economic dispatching of distribution network ADMM

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：