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Network and Parallel Computing: 20th Ifip Wg 10.3 International Conference, Npc 2024, Haikou, China, December 7-8, 2024, Proceedings, Part I

Network and Parallel Computing: 20th Ifip Wg 10.3 International Conference, Npc 2024, Haikou, China, December 7-8, 2024, Proceedings, Part I (Paperback)

Geyong Min, Xu Chen, Xia Xie, Deke Guo, Pu, Lingjun (엮은이)
Springer, Berlin
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Network and Parallel Computing: 20th Ifip Wg 10.3 International Conference, Npc 2024, Haikou, China, December 7-8, 2024, Proceedings, Part I
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책 정보

· 제목 : Network and Parallel Computing: 20th Ifip Wg 10.3 International Conference, Npc 2024, Haikou, China, December 7-8, 2024, Proceedings, Part I (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 하드웨어 > 일반
· ISBN : 9789819628292
· 쪽수 : 493쪽
· 출판일 : 2025-03-29

목차

.-?High-performance and Parallel Computing.

.- A Novel Consensus Mechanism Based on Dynamic Sharding.

.- 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 Parallel Computing 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.

.-?Novel Memory and Storage Systems.

.- 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 Parallel Computing 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.

.-?Emerging Architectures and Systems.

.- A Cluster-based Platoon Formation Scheme for Realistic Automated Vehicle Platooning.

.- AnaNET: Anatomical Network for Aggregated Time Series Forecasting in Multi-Layered Architecture.

.- Deep Reinforcement Learning for Large-scale Scientific Workflow Scheduling with Improved Structure Feature Extraction and Sampling.

.- Global Color-aware Arbitrary Style Transfer with Discrete Wavelet Transform.

.- Incentivizing Crowdsensing for DT-Enabled Metaverse.

.- Intelligent Telemetry: P4-Driven Network Telemetry and Service Flow Intelligent Aviation Platform.

.- L 2SCD: Low-Latency Serverless Computing Dispatcher via Programmable Network Hardware.

.- LBoDSN: An In-network Load Balancing Mechanism for Lossless Data Center Networks Based on Direct Switch Notification.

.- LDChain: A Lightweight and Scalable Blockchain System for Dynamic IoT Scenarios.

.- MEGA: Mesh-Aligned 3DGS Towards Geometry-Preserving Online Reconstruction.

.- MTEE: Multiscale Temporal Entropy Evaluation Paradigm for Heterogeneous Complex Datasets.

.- nHAS: Neural-Compensated Hybrid Adaptive Scheduling for Cloud Gaming.

.- QDPformer: Quantum-Driven Workload Prediction Model Based on Transformer.

.- RFaaS: Function Scheduling Across Heterogeneous Clusters.

.- RV-CVP: A Flexible Variable Precision RISC-V ISA Extension for Convolutional Neural Network.

.-?Understanding the Inference Performance of Spatial Temporal Diffusion Transformer.

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