The surge in distributed energy resources connected to the power grid has significantly heightened challenges for grid operators. While the integration of micro-synchrophasor unit (μPMU) into the power grid infrastru...
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With the high proportion of new source loads such as distributed power sources, electric vehicles, and energy storage, as well as the rapid development of new models and formats such as microgrids, integrated energy, ...
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ISBN:
(数字)9781510688209
ISBN:
(纸本)9781510688193
With the high proportion of new source loads such as distributed power sources, electric vehicles, and energy storage, as well as the rapid development of new models and formats such as microgrids, integrated energy, and virtual power plants, the distribution network is gradually transforming from a power network that simply receives and distributes electricity to users to a power network that integrates source grid load storage interaction and flexibly couples with the higher-level power grid. In recent years, State grid Economic and Technological Research Institute has focused on original technology research and development in the field of distribution networks, fully supporting the construction of original technology source areas. It has developed a distribution network simulation calculation and analysis platform with completely independent intellectual property rights, supporting the construction of new distribution systems in multiple regions. The development of new source loads may lead to local concentration and overall imbalance, resulting in significant differences in load rates between different regions and lines of the distribution network. This often leads to issues of insufficient or unusable equipment capacity, which is not conducive to improving the overall quality and efficiency of the distribution network. The State grid Economic and Technological Research Institute, in collaboration with the United Nations grid Tianjin Electric Power Company, has established a flexible interconnection technology system for distribution networks, developed the world's first set of corresponding flexible interconnection power electronic equipment, and implemented it in the Beichen National Industry City Integration Demonstration Zone in Tianjin. After the project is put into operation, the load balancing degree of the demonstration zone's power grid has reached over 99%, the power supply capacity of the power grid has increased by nearly 40%, and important industria
In this paper, we investigate three fundamental problems in the Massively parallel Computation (MPC) model: (i) grid graph connectivity, (ii) approximate Euclidean Minimum Spanning Tree (EMST), and (iii) approximate D...
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The proceedings contain 76 papers. The special focus in this conference is on Network and parallelcomputing. The topics include: AsymFB: Accelerating LLM Training Through Asymmetric Model parallelism;DaCP: Accelerati...
ISBN:
(纸本)9789819628636
The proceedings contain 76 papers. The special focus in this conference is on Network and parallelcomputing. The topics include: AsymFB: Accelerating LLM Training Through Asymmetric Model parallelism;DaCP: Accelerating Synchronization-Free SpTRSV via GPU-Friendly Data Communication and parallelism Strategies;Diagnosability of the Lexicographic Product of Paths and Complete Bipartite Graphs Under PMC Model;DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating;Efficient Implementation of the LOBPCG Algorithm on a CPU-GPU Cluster;HP-CSF: An GPU Optimization Method for CP Decomposition of Incomplete Tensors;JediGAN: A Fully Decentralized Training of GAN with Adaptive Discriminator Averaging and Generator Selection;optimizing Vo-Viso: A Modified Methodology to parallelcomputing with Isolating Data in Memristor Arrays;parallel Computation of the Combination of Two Point Operations in Conic Curves Cryptosystem over GF(2n) Using Tile Self-assembly;parallel Construction of Independent Spanning Trees on 3-ary n-cube Networks;SpecInF: Exploiting Idle GPU Resources in distributed DL Training via Speculative Inference Filling;swDarknet: A Heterogeneous parallel Deep Learning Framework Suitable for SW26010 Pro Processor;VConv: Autotiling Convolution Algorithm Based on MLIR for Multi-core Vector accelerators;ACH-Code: An Efficient Erasure Code to Reduce Average Repair Cost in Cloud Storage Systems of Multiple Availability Zones;CMS: A Computility Resource Status Management and Storage Framework;fast Memory Disaggregation with SwiftSwap;HASLB: Huge Page Allocation Strategy Optimized for Load-Balance in parallelcomputing Programs;lightFinder: Finding Persistent Items with Small Memory;miDedup: A Restore-Friendly Deduplication Method on Docker Image Storage Systems;SPLR: A Selective Packet Loss Recovery for Improved RDMA Performance;a Cluster-Based Platoon Formation Scheme for Realistic Automated Vehicle Platooning;AnaNET: Anatomical Network fo
The proceedings contain 76 papers. The special focus in this conference is on Network and parallelcomputing. The topics include: AsymFB: Accelerating LLM Training Through Asymmetric Model parallelism;DaCP: Accelerati...
ISBN:
(纸本)9789819628292
The proceedings contain 76 papers. The special focus in this conference is on Network and parallelcomputing. The topics include: AsymFB: Accelerating LLM Training Through Asymmetric Model parallelism;DaCP: Accelerating Synchronization-Free SpTRSV via GPU-Friendly Data Communication and parallelism Strategies;Diagnosability of the Lexicographic Product of Paths and Complete Bipartite Graphs Under PMC Model;DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating;Efficient Implementation of the LOBPCG Algorithm on a CPU-GPU Cluster;HP-CSF: An GPU Optimization Method for CP Decomposition of Incomplete Tensors;JediGAN: A Fully Decentralized Training of GAN with Adaptive Discriminator Averaging and Generator Selection;optimizing Vo-Viso: A Modified Methodology to parallelcomputing with Isolating Data in Memristor Arrays;parallel Computation of the Combination of Two Point Operations in Conic Curves Cryptosystem over GF(2n) Using Tile Self-assembly;parallel Construction of Independent Spanning Trees on 3-ary n-cube Networks;SpecInF: Exploiting Idle GPU Resources in distributed DL Training via Speculative Inference Filling;swDarknet: A Heterogeneous parallel Deep Learning Framework Suitable for SW26010 Pro Processor;VConv: Autotiling Convolution Algorithm Based on MLIR for Multi-core Vector accelerators;ACH-Code: An Efficient Erasure Code to Reduce Average Repair Cost in Cloud Storage Systems of Multiple Availability Zones;CMS: A Computility Resource Status Management and Storage Framework;fast Memory Disaggregation with SwiftSwap;HASLB: Huge Page Allocation Strategy Optimized for Load-Balance in parallelcomputing Programs;lightFinder: Finding Persistent Items with Small Memory;miDedup: A Restore-Friendly Deduplication Method on Docker Image Storage Systems;SPLR: A Selective Packet Loss Recovery for Improved RDMA Performance;a Cluster-Based Platoon Formation Scheme for Realistic Automated Vehicle Platooning;AnaNET: Anatomical Network fo
The proceedings contain 28 papers. The topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of c...
ISBN:
(纸本)9789897587474
The proceedings contain 28 papers. The topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of cloud-native application execution over the edge cloud continuum enabled by DVFS;energy-aware node selection for cloud-based parallel workloads with machine learning and infrastructure as code;security-aware allocation of replicated data in distributed storage systems;performance analysis of mdx ii: a next-generation cloud platform for cross-disciplinary data science research;data orchestration platform for AI workflows execution across computing continuum;framework for decentralized data strategies in virtual banking: navigating scalability, innovation, and regulatory challenges in Thailand;and anomaly detection for partially observable container systems based on architecture profiling.
The advancement of data-intensive analysis has emphasised the need for extensive, scalable environments that enable easy access to diverse computational resources. This project proposes the development of a Scientific...
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The rapid adoption of Internet of Things (IoT) technologies and digital twins (DTs) is revolutionizing smart cities by facilitating improved real-time monitoring, simulation, and optimization of urban infrastructures....
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With the rapid development of the tourism industry, traditional tourism methods are undergoing significant transformation, and online tourism is gradually becoming a new highlight in the market. However, faced with th...
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In the face of massive spatial grid data from low-resolution encryption to high-resolution process, the traditional point-by-point interpolation algorithm needs to calculate each encryption point in turn, so there are...
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