Network and Parallel Computing

.- 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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• Arquitectura do computador e projecto lógico
• Sistemas operacionais
• Hardware do computador
• Inteligência artificial

parallel algorithms;distributed applications;parallel architectures;distributed systems;edge computing;artificial intelligence;federated learning;storage;parallel processing systems;high performance computing