distributed databases are often used when scalability, fault tolerance, and high availability are crucial. They excel in scenarios where traditional, centralized databases may struggle to handle the increasing volume ...
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With the rise of big data, the planning and management of intelligent distribution networks have ushered in new development opportunities. Through the comprehensive integration, in-depth analysis, and effective mining...
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Serverless computing is extensively employed in distributed storage computing scenarios owing to its dynamic responsiveness and on-demand allocation capabilities. Within distributed storage computing, data integrity c...
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As the modern power system is undergoing a major transition to a self-aware and self-autonomous system to address the more and more complex system dynamics and operation conditions, the transient analysis of power sys...
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The distributed-element transmission line model is modified to account for proximity effects in multiconductor cables and frequency dependent dielectric behaviour providing an accurate prediction of channel attenuatio...
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ISBN:
(纸本)9798350318562;9798350318555
The distributed-element transmission line model is modified to account for proximity effects in multiconductor cables and frequency dependent dielectric behaviour providing an accurate prediction of channel attenuation at broadband power line communication frequencies (1-100 MHz). The modified model is verified with scattering parameter measurements and then used as a building block for complex microgrid network modelling. Powerline communication performance tests are conducted using the HomePlug GreenPHY and HomePlug AV. The GreenPHY operates up to 450 m on star feeders and on radial feeders with long branches. However, it cannot connect reliably on radial feeders with short branches due to frequency selective notching. Functionality requires the absence of notches that penetrate below -70 dB within the band (1-30 MHz). The AV operates successfully up to 600 m on star feeders and on radial feeders with long or short branches. Due to the wide availability and low cost of the AV, it is a sensible choice for reliable broadband digital communications on microgrid networks.
It has been a decade since the ACM/IEEE CS2013 Curriculum guidelines recommended that all CS students learn about parallel and distributedcomputing (PDC). But few textbooks for "core" CS courses especially ...
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ISBN:
(纸本)9798350364613;9798350364606
It has been a decade since the ACM/IEEE CS2013 Curriculum guidelines recommended that all CS students learn about parallel and distributedcomputing (PDC). But few textbooks for "core" CS courses especially first-year courses include coverage of PDC topics. To fill this gap, we have written free, online, beginner- and intermediate-level PDC textbooks, containing interactive C/C++ OpenMP, MPI, mpi4py, CUDA, and OpenACC code examples that students can run and modify directly in the browser. The books address a serious challenge to leaching PDC concepts, namely, easy access to the powerful hardware needed for observing patterns and scalability. This paper describes the content of these textbooks and the underlying infrastructure that make them possible. We believe the described textbooks fill a critical gap in PDC education and will be very useful for the community.
The proceedings contain 24 papers. The special focus in this conference is on parallel and distributed Processing Techniques. The topics include: parallel N-Body Performance Comparison: Julia, Rust, and More;REFT...
ISBN:
(纸本)9783031856372
The proceedings contain 24 papers. The special focus in this conference is on parallel and distributed Processing Techniques. The topics include: parallel N-Body Performance Comparison: Julia, Rust, and More;REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments;An Efficient Data Provenance Collection Framework for HPC I/O Workloads;using Minicasts for Efficient Asynchronous Causal Unicast and Byzantine Tolerance;a Comparative Study of Two Matrix Multiplication Algorithms Under Current Hardware Architectures;Is Manual Code Optimization Still Required to Mitigate GPU Thread Divergence? Applying a Flattening Technique to Observe Performance;towards Automatic, Predictable and High-Performance parallel Code Generation;Attack Graph Generation on HPC Clusters;analyzing the Influence of File Formats on I/O Patterns in Deep Learning;inference of Cell–Cell Interactions Through Spatial Transcriptomics Data Using Graph Convolutional Neural Networks;natural Product-Like Compound Generation with Chemical Language Models;improved Early–Modern Japanese Printed Character Recognition Rate with Generated Characters;Improved Method for Similar Music Recommendation Using Spotify API;Reconfigurable Virtual Accelerator (ReVA) for Large-Scale Acceleration Circuits;Building Simulation Environment of Reconfigurable Virtual Accelerator (ReVA);vector Register Sharing Mechanism for High Performance Hardware Acceleration;Efficient Compute Resource Sharing of RISC-V Packed-SIMD Using Simultaneous Multi-threading;introducing Competitive Mechanism to Differential Evolution for Numerical Optimization;hyper-heuristic Differential Evolution with Novel Boundary Repair for Numerical Optimization;jump Like a Frog: Optimization of Renewable Energy Prediction in Smart Gird Based on Ultra Long Term Network;vision Transformer-Based Meta Loss Landscape Exploration with Actor-Critic Method;Fast Computation Method for Stopping Condition of Range Restricted
The proceedings contain 18 papers. The topics discussed include: decentralized machine learning for face recognition;a generic-based federated learning model for smart grid and renewable energy;design techniques for m...
ISBN:
(纸本)9798350341270
The proceedings contain 18 papers. The topics discussed include: decentralized machine learning for face recognition;a generic-based federated learning model for smart grid and renewable energy;design techniques for multi-core neural network accelerators on radiation-hardened FPGAs;a distributed automatic domain-specific multi-word term recognition architecture using spark ecosystem;finding minimum loss path in big networks;system architecture for real-time condition monitoring and anomaly detection on ships;investigating HPC job resource requests and job efficiency reporting;a new ad-hoc parallel file system for HPC environments based on the expand parallel file system;a performance prediction model for structured grid based applications in HPC environments;and local and global scheduling in mobile drop computing.
With the rapid development of power grid engineering, especially the rapid development of extra-high voltage engineering, the multi-source heterogeneous investigation data is on the increase, and the traditional inves...
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The urban waterlogging risk assessment has gradually become an effective measure for preventing waterlogging disasters. The accuracy of the risk assessment results rely on the assessment methods and data precision. Ta...
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