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Single Matrix Block Shift (SMBS) Dense Matrix Multiplication Algorithm 45th

Single Matrix Block Shift (SMBS) Dense Matrix Multiplication...

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45th Annual conference of the South-African-Institute-of-Computer-Scientists-and-Information-Technologists (SAICSIT) on Human- Machine-Digital-Convergence

作者： Ohene-Kwofie, Daniel Hazelhurst, Scott Univ Witwatersrand Sch Elect & Informat Engn Johannesburg South Africa Univ Witwatersrand Sch Publ Hlth Johannesburg South Africa Univ Witwatersrand Sydney Brenner Inst Mol Biosci Johannesburg South Africa

ISBN: (纸本)9783031648809;9783031648816

Many scientific and numeric computations rely on matrix-matrix multiplication as a fundamental component of their algorithms. It constitutes the building block in many matrix operations used in numeric solvers and graph theory problems. Several algorithms have been proposed and implemented for matrix-matrix multiplication, especially, for distributed-memory systems, and these have been greatly studied. In particular, the Cannon's algorithm has been implemented for distributed-memory systems, mostly since the memory needs remain constant and are not influenced by the number of processors employed. The algorithm, however, involves block shifting of both matrices being multiplied. This paper presents a similar block-oriented parallel algorithm for matrix-matrix multiplication on a 2-dimensional processor grid, but with block shifting restricted to only one of the matrices. We refer to this as the Single Matrix Block Shift (SMBS) algorithm. The algorithm, we propose, is a variant of the Cannon's algorithm on distributed architectures and improves upon the performance complexity of the Cannon and SRUMMA algorithms. We present analytic as well as experimental comparative results of our algorithm with the standard Cannon's algorithm on 2-dimensional processor grids, showing over 4X performance improvement.

关键词： parallel algorithms Matrix multiplication Computational efficiency Scalability Speedup

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Graph Based Quantitative Analysis of distributed Generation Impact on Regional Carbon Emissions 7

Graph Based Quantitative Analysis of Distributed Generation ...

引用

7th international conference on Smart grid and Smart Cities, ICSGSC 2023

作者： Huang, Wenqi Tang, Yachen Dai, Zhen Liu, Guangyi Hou, Jiaxuan Li, Xuanang Guangdong China Envision Digital Redwood CityCA United States

ISBN: (纸本)9798350305913

Accurately accounting for carbon emissions is a fundamental requirement for understanding the trends in carbon emissions in the power system, effectively implementing carbon reduction measures, and promoting the green transformation of the economy. This paper proposed a method for the locally balanced calculation of carbon intensity at regional power grid nodes, based on the concept of regional carbon flow balance, considering distributed generation in the computation, and following the principle of regional generation prioritizing local consumption. The paper defined the net generation, load, and intermediate nodes in the regional power grid. Using graph databases and graph computing, the method achieved local aggregation and local prioritization to calculate the carbon intensity of end nodes (net generation and net load nodes) and intermediate nodes. The proposed method was validated using actual data from a provincial power grid and compared with the results obtained from existing methods, allowing for analysis of the reasons for changes in regional carbon intensity. © 2023 IEEE.

关键词： Electric loads

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Design of distributed Energy Transaction Model for Spot Market 2

Design of Distributed Energy Transaction Model for Spot Mark...

引用

2nd international conference on Applied Mathematics, Modelling, and Intelligent computing (CAMMIC)

作者： Zhao, Pengxiang Li, Zhiyuan Zhou, Xichao Cong, Lin State Grid Integrated Energy Serv Grp Co Ltd Beijing 100050 Peoples R China

ISBN: (纸本)9781510655201;9781510655195

In order to effectively improve the consumption level of distributed energy and promote the healthy development of the electricity market, an efficient and reliable energy trading mechanism needs to be proposed urgently. This paper takes the micro-energy grid system as the research object, and comprehensively considers the user's energy demand changes, market energy management, and transaction mechanisms, combined with Electricity spot market, and designs a distributed energy trading model oriented to the spot market. Optimal output, to solve the economic benefits of the unit and the economic benefits of the region. The study of distributed energy trading mechanisms in this article provides a reference for future electricity market transactions in micro-grids and also provides an important basis for the promotion of green certificate transactions.

关键词： distributed energy micro-energy grid power market game theory

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Design of Deep Learning Algorithm in the Control System of Intelligent Inspection Robot of Substation 2

Design of Deep Learning Algorithm in the Control System of I...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Wei, Shuangshuang Gan, Zhenzhong Fan, Chunfeng Huang, Zhuang Zhu, Zhiyong Wei, Xueshan Qin, Kai Laibin Power Supply Bureau of Guangxi Power Grid Co. Ltd. Guangxi Laibin China

ISBN: (纸本)9798350347456

With the development of the scale of the power system and the maturity of robotics, the use of inspection robots instead of manual inspection can effectively improve the efficiency of inspection and realize the intelligent management of the power grid. In this paper, a control system for substation inspection robot is designed and implemented for the substation inspection environment. First, a convolutional neural network algorithm under deep learning (DL) is proposed to extract the characteristics of the inspection robot, and then related technologies for inspection robot control are proposed, including navigation and positioning, motion control, power supply management, safety and anti-collision, and finally, it can be obtained through the test of the control system. The inspection robot has good tracking capabilities. In addition, the real trajectory is basically consistent with the set trajectory, which also shows the robustness of the system. Therefore, the use of DL to design the control system of the intelligent inspection robot of the substation is of great research value. In this paper, it is hoped that the deep learning-based convolutional neural network algorithm can be used to extract the features of inspection robots, which can effectively prove that the robots have good tracking ability and promote the power grid inspection to a certain extent. This paper provides reference value for realizing the intelligentization of power grid selection. © 2023 IEEE.

关键词： Inspection

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Improvement of Task Scheduling with Energy Efficiency including Fault Tolerant with Resilient computing System in parallel and distributed Communication Network 2

Improvement of Task Scheduling with Energy Efficiency includ...

引用

2nd international conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Kumar, Vijay Madhuri, P. Yamini, R. Sravani, Palla Muthukumar, K. Graphic Era Hill University Department of Physics Dehradun India Hyderabad501401 India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Tamil Nadu Kattankulathur603203 India Raghu Engineering College Department of Computer Science and Engineering Andhra Pradesh Visakhapatnam531162 India Sri Krishna College of Engineering and Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore India

ISBN: (纸本)9798350325799

In parallel and distributed communication networks, task scheduling is essential for attaining the best system performance. Innovative ways that may intelligently distribute computing resources while minimizing energy consumption and maintaining system resilience are required due to the rising need for energy efficiency and fault tolerance. This system, offers a unique approach to job scheduling in parallel and distributed communication networks that integrate genetic algorithms (GA) and machine learning (ML).Using ML approaches, proposed method analyses historical task execution data to discover patterns that may be applied to task execution time prediction in various computing systems. As a result, this can assign tasks to resources effectively, maximize resource usage, and cut down on execution time as a whole. In addition, using predefined objectives like energy efficiency and fault tolerance, GA is used to find the best task-resource assignments. This applies resilient computing approaches to the job scheduling procedure to overcome problems with fault tolerance. This prevents the execution of crucial operations from being hampered by system faults or resource shortages by utilizing fault detection and recovery technologies. This system can adapt dynamically to shifting network conditions through the combination of ML, GA, and resilient computing, which raises the entire system's reliability and availability. © 2023 IEEE.

关键词： Machine learning

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Empirical Study on the Relationship Between Renewable Energy Electricity Consumption and Carbon Emission Based on Genetic Algorithm 13th

Empirical Study on the Relationship Between Renewable Energy...

引用

13th international conference on Frontier computing, FC 2023

作者： Su, Yun Zhang, Kai Liu, Shu Shi, Shanshan Wang, Zhaohui State Grid Shanghai Electric Power Company Shanghai200120 China

ISBN: (纸本)9789819995370

Renewable energy is the main energy in China. It has great development potential, but it also brings severe challenges to the operation and management of power system. Firstly, this paper combs the distributed robust optimization theory, specifically including the characteristics and applicable conditions of the distributed robust optimization model, classifies them according to the different methods of fuzzy set construction of uncertain parameters, and analyzes the advantages and disadvantages of each method of fuzzy set construction, laying a theoretical foundation for the subsequent construction of the distributed robust optimization scheduling model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Genetic algorithms

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A Cross-Chain Transaction Model for Power Blockchain Based on Hash-Locking Mechanism 3

A Cross-Chain Transaction Model for Power Blockchain Based o...

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3rd international conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Li, Jinzhong Duan, Xiangjun Qiu, Wangjie Cao, Panan Wang, Zhen Li, Yunshuo State Grid Corporation of China State Grid Anhui Electric Power Research Institute Hefei China State Grid Corporation of China China Electric Power Research Institute Beijing China Beihang University Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing China

ISBN: (纸本)9798350318180

Blockchain is a closed island in the traditional power transaction platform and cannot freely trade with others, which limits the flexibility and autonomy of the distributed power trading market. Aiming at the problems of network isolation and interoperability among different power blockchains, we proposed a general and compatible power cross-chain trading protocol based on hash time locking technology, where the transaction power and price are locked by hash time to realize cross-chain exchanges of different assets. A flexible and specialized smart contract framework is designed, which can be easily adapted and extended according to specific needs, promoting the flexibility and freedom of the distributed power market. And the experimental shows that the transaction processing capability is significantly better than that of the relays technology when dealing with multiple concurrency problems. © 2023 IEEE.

关键词： cross-chain distributed power trading hash-locking smart contracts

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A Mobile Network Experience Quality Evaluation Model Based on Network Security 2

A Mobile Network Experience Quality Evaluation Model Based o...

引用

2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： Zhang, Xiaolu Shen, Wuqiang Cui, Lei Guangdong Power Grid Guangdong Guangzhou China

ISBN: (纸本)9798350382952

In order to seize more users and market share, network operators and service providers must continuously improve their service level and quality to meet the increasing demands of customers. Therefore, the quality of user experience has become a focus of their attention. This article first defines and extracts feature parameters including video correlation, end-to-end network packet loss damage, and end-to-end network delay damage. Among them, video related feature parameters are used to measure the impact of video encoding damage and video content on user experience quality. Then, based on end-to-end communication of streaming media services on mobile networks, this article establishes an end-to-end simulation business platform for mobile network streaming media. Subsequently, this article designed and organized the subjective testing of user experience quality based on the characteristics of mobile network streaming services. Finally, this article establishes an end-to-end user experience quality evaluation model for mobile networks based on quality evaluation methods using different feature parameter subsets. The results indicate that the multi and multi feature parameters involved in this article only require packet header parsing of network data packets, without involving video decoding, and have the characteristic of low computational complexity. © 2024 IEEE.

关键词： Quality control

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Stability Analysis of Circulating Current in Multi-parallel grid-Connected Inverter System 2

Stability Analysis of Circulating Current in Multi-Parallel ...

引用

2nd IEEE international Power Electronics and Application Symposium, PEAS 2023

作者： Li, Mingliang Ruan, Xinbo Shi, Mingming Zheng, Xian College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd. Nanjing China

ISBN: (纸本)9798350313765

Multi-parallel grid-connected inverter system is increasingly applied in distributed power generation systems. Due to the existence of grid impedance, the output current of the grid-connected inverter cannot be fed to the grid totally, and a part of it will circulate to other inverters connected in parallel under weak grid. And the stability of circulating current also affects the safety and reliability of the system. Also, the large circulating current will bring more power loss to system. This paper uses the average model of the grid-connected inverter to establish the Norton equivalent circuit of the multi-parallel grid-connected inverter system. On this basis, the generation mechanism of the circulating current is explained by the current separateness, and the relationship between the stability of the circulating current and the injected grid current is indicated. Finally, the accuracy of the proposed theory is verified by simulation. © 2023 IEEE.

关键词： circulating current current separateness grid-connected inverter weak grid

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CoupHM: Task Scheduling Using Gradient Based Optimization for Human-Machine computing Systems 28

CoupHM: Task Scheduling Using Gradient Based Optimization fo...

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IEEE 28th international conference on parallel and distributed Systems (IEEE ICPADS)

作者： Wang, Hui Ren, Zhuoli Yu, Zhiwen Zhang, Yao Liu, Jiaqi Cui, Heilei Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9781665473156

We witnessed great advancement in Artificial Intelligence (AI) powered technologies in recent years, and yet, when applied to certain high-stake contexts, such as medical diagnosis, automatic driving and criminal justice, they are not qualified. This matter can be greatly settled by Human-Machine computing (HMC), which is an effective computing paradigm that couples the expertise and demonstration abilities of humans with the high-performance computing power of machines. This work studies an optimal task scheduling problem for HMC systems, where various tasks are decomposed and dispatched to humans and AI-enabled machines to provide significantly better benefits compared to either type of computing resources in isolation. However, designing such optimal task scheduling is challenging because of the stochastic hybrid features of machines, as well as various human professional abilities. Considering the Quality of Service (QoS) and the heterogeneity of human-machine computing resources, we propose CoupHM, a feasible task scheduler using gradient based optimization for HMC systems. In particular, we firstly present the underlying architecture of HMC system and details of the task-driven workload model. On that basis, we then formulate the objective optimization problem to be solved and describe the composition of the CoupHM scheduler. Finally, the performance of our solution is evaluated by the simulation experiments, and the results indicate that the proposed scheduler has preferable performance both in balancing resources and guaranteeing QoS, which can serve as guidelines for future research on HMC systems.

关键词： Human-machine computing Task scheduling Gradient based optimization Quality of service

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