{"product_id":"network-and-parallel-computing-9789819628292","title":"Network and Parallel Computing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eHigh-performance and Parallel Computing\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A Novel Consensus Mechanism Based on Dynamic Sharding.\u003c\/p\u003e\u003cp\u003e.- AsymFB: Accelerating LLM Training through Asymmetric Model Parallelism.\u003c\/p\u003e\u003cp\u003e.- DaCP:Accelerating Synchronization-free SpTRSV via GPU-friendly Data Communication and Parallelism Strategies.\u003c\/p\u003e\u003cp\u003e.- Diagnosability of the lexicographic product of paths and complete bipartite graphs under PMC model.\u003c\/p\u003e\u003cp\u003e.- DTuner: a Construction-based Optimization Method for Dynamic Tensor Operators Accelerating.\u003c\/p\u003e\u003cp\u003e.- Efficient Implementation of the LOBPCG Algorithm on a CPU-GPU Cluster.\u003c\/p\u003e\u003cp\u003e.- HP-CSF:An GPU optimization method for CP decomposition of incomplete tensors.\u003c\/p\u003e\u003cp\u003e.- JediGAN: A Fully Decentralized Training of GAN with Adaptive Discriminator Averaging and Generator Selection.\u003c\/p\u003e\u003cp\u003e.- Optimizing Vo-Viso: a Modified Methodology to Parallel Computing with Isolating Data in Memristor Arrays.\u003c\/p\u003e\u003cp\u003e.- Parallel computation of the combination of two point operations in conic curves cryptosystem over GF(2n) using tile self-assembly.\u003c\/p\u003e\u003cp\u003e.- Parallel Construction of Independent Spanning Trees on 3-ary n-cube Networks.\u003c\/p\u003e\u003cp\u003e.- SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling.\u003c\/p\u003e\u003cp\u003e.- swDarknet: A Heterogeneous Parallel Deep Learning Framework Suitable for SW26010 Pro Processor.\u003c\/p\u003e\u003cp\u003e.- VConv: Autotiling convolution algorithm based on MLIR for multi-core vector accelerators.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eNovel Memory and Storage Systems\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- ACH-Code: An Efficient Erasure Code to Reduce Average Repair Cost in Cloud Storage Systems of Multiple Availability Zones.\u003c\/p\u003e\u003cp\u003e.- CMS: A Computility Resource Status Management and Storage Framework.\u003c\/p\u003e\u003cp\u003e.- Fast Memory Disaggregation with SwiftSwap.\u003c\/p\u003e\u003cp\u003e.- HASLB: Huge Page Allocation Strategy Optimized for Load-Balance in Parallel Computing Programs.\u003c\/p\u003e\u003cp\u003e.- LightFinder: Finding Persistent Items with Small Memory.\u003c\/p\u003e\u003cp\u003e.- MiDedup: A Restore-friendly Deduplication Method on Docker Image Storage Systems.\u003c\/p\u003e\u003cp\u003e.- SPLR: A Selective Packet Loss Recovery for Improved RDMA Performance.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eEmerging Architectures and Systems\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- A Cluster-based Platoon Formation Scheme for Realistic Automated Vehicle Platooning.\u003c\/p\u003e\u003cp\u003e.- AnaNET: Anatomical Network for Aggregated Time Series Forecasting in Multi-Layered Architecture.\u003c\/p\u003e\u003cp\u003e.- Deep Reinforcement Learning for Large-scale Scientific Workflow Scheduling with Improved Structure Feature Extraction and Sampling.\u003c\/p\u003e\u003cp\u003e.- Global Color-aware Arbitrary Style Transfer with Discrete Wavelet Transform.\u003c\/p\u003e\u003cp\u003e.- Incentivizing Crowdsensing for DT-Enabled Metaverse.\u003c\/p\u003e\u003cp\u003e.- Intelligent Telemetry: P4-Driven Network Telemetry and Service Flow Intelligent Aviation Platform.\u003c\/p\u003e\u003cp\u003e.- L 2SCD: Low-Latency Serverless Computing Dispatcher via Programmable Network Hardware.\u003c\/p\u003e\u003cp\u003e.- LBoDSN: An In-network Load Balancing Mechanism for Lossless Data Center Networks Based on Direct Switch Notification.\u003c\/p\u003e\u003cp\u003e.- LDChain: A Lightweight and Scalable Blockchain System for Dynamic IoT Scenarios.\u003c\/p\u003e\u003cp\u003e.- MEGA: Mesh-Aligned 3DGS Towards Geometry-Preserving Online Reconstruction.\u003c\/p\u003e\u003cp\u003e.- MTEE: Multiscale Temporal Entropy Evaluation Paradigm for Heterogeneous Complex Datasets.\u003c\/p\u003e\u003cp\u003e.- nHAS: Neural-Compensated Hybrid Adaptive Scheduling for Cloud Gaming.\u003c\/p\u003e\u003cp\u003e.- QDPformer: Quantum-Driven Workload Prediction Model Based on Transformer.\u003c\/p\u003e\u003cp\u003e.- RFaaS: Function Scheduling Across Heterogeneous Clusters.\u003c\/p\u003e\u003cp\u003e.- RV-CVP: A Flexible Variable Precision RISC-V ISA Extension for Convolutional Neural Network.\u003c\/p\u003e\u003cp\u003e.- Understanding the Inference Performance of Spatial Temporal Diffusion Transformer.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212873163095,"sku":"9789819628292","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/network-and-parallel-computing-9789819628292","provider":"Book Curl","version":"1.0","type":"link"}