Distributed, Parallel, and Cluster ComputingEfficient Methods for Longest Common SubsequenceDiscover how parallel algorithms speed up LCS calculations for large data sets.
― 5 min read
Data Structures and AlgorithmsEfficient Triangle Counting in GraphsA new method speeds up triangle counting in graphs significantly.
― 4 min read
DatabasesDecentralized RDF Store for Edge DevicesA new approach to manage RDF data across edge devices efficiently.
― 6 min read
Distributed, Parallel, and Cluster ComputingHierarchical Federated Learning: Balancing Efficiency and PrivacyExploring ways to improve data sharing while ensuring user privacy.
― 6 min read
Distributed, Parallel, and Cluster ComputingJulia's Role in High-Performance Computing WorkflowsExploring Julia's capabilities in the Gray-Scott diffusion-reaction model for HPC.
― 5 min read
Distributed, Parallel, and Cluster ComputingInnovative Caching System for Cloud EfficiencyA new caching system enhances resource use and adapts to changing workloads.
― 5 min read
GraphicsEfficient Visualization of Large Data SetsA new method improves data visualization with minimal memory use.
― 6 min read
Distributed, Parallel, and Cluster ComputingAdvancements in Graph Analysis with Arachne and DIPNew tools are improving the analysis of large property graphs.
― 6 min read
Distributed, Parallel, and Cluster ComputingNavigating the Computing Continuum: Challenges and OpportunitiesA look at the computing continuum's features, challenges, and potential for users.
― 6 min read
Machine LearningImproving Federated Learning with FedGKD FrameworkFedGKD enhances federated learning for Graph Neural Networks by optimizing task feature extraction.
― 5 min read
Machine LearningAdvancing Privacy in Machine Learning with Sparse NetworksExploring federated learning techniques to enhance communication efficiency while preserving user privacy.
― 5 min read
Distributed, Parallel, and Cluster ComputingAdvancing Task Scheduling in Mobile Edge ComputingImproving task scheduling strategies for mobile applications using deep reinforcement learning.
― 7 min read
Distributed, Parallel, and Cluster ComputingBuilding a Strong Auditable Register for Data IntegrityA method for creating reliable auditable registers in distributed systems.
― 7 min read
Machine LearningAdvancements in Decentralized Federated Learning AlgorithmsDFedADMM and DFedADMM-SAM improve model training while ensuring data privacy.
― 6 min read
Distributed, Parallel, and Cluster ComputingAccelerating Reservoir Simulation Using GPUsUsing GPUs to speed up reservoir simulations can improve efficiency and reduce computation times.
― 7 min read
Distributed, Parallel, and Cluster ComputingEvaluating Blockchain Performance with Machine Learning TechniquesThis study explores new ways to assess blockchain applications using machine learning.
― 6 min read
Machine LearningImproving Transformer Model Efficiency with Layer-Wise Sparse AttentionNew method enhances Transformer models by reducing computation and memory usage.
― 7 min read
Artificial IntelligenceEvolving Deep Learning Models with Regularized EvolutionThis study examines how deep learning models change during Neural Architecture Search.
― 7 min read
Distributed, Parallel, and Cluster ComputingMeasuring Communication Timing in the CloudDiscover the importance of communication timing and latency in cloud services.
― 6 min read
Cryptography and SecurityImproving Leader Selection in Blockchain SystemsProposing a dynamic method for efficient leader selection in blockchain networks.
― 7 min read
Distributed, Parallel, and Cluster ComputingNew System Improves Energy Monitoring in Data CentersA novel approach estimates application-level power use without intrusive methods.
― 7 min read
Machine LearningImproving Federated Learning with Gradient InversionA new method enhances Federated Learning by addressing staleness and device differences.
― 5 min read
Machine LearningDeepSpeed-Ulysses: Advancing Long Sequence TrainingA new system for fast and efficient training of large language models.
― 5 min read
Distributed, Parallel, and Cluster ComputingEnhancing Trading Efficiency with Lock-swap MechanismA new model improves cross-chain trading using the lock-swap mechanism for better efficiency.
― 5 min read
Distributed, Parallel, and Cluster ComputingAdvancing Distributed Machine Learning with SPIRT ArchitectureSPIRT offers a reliable and efficient approach to distributed machine learning.
― 8 min read
Distributed, Parallel, and Cluster ComputingImproving Machine Learning with Serverless and P2P NetworksA new system integrates serverless computing and peer-to-peer networks for efficient model training.
― 7 min read
Distributed, Parallel, and Cluster ComputingIntroducing FlexCast: A New Atomic Multicast ProtocolFlexCast improves message delivery efficiency in distributed systems using atomic multicast.
― 5 min read
Distributed, Parallel, and Cluster ComputingChallenges in Distributed Computing ModelsExamining how register size affects task solvability in distributed systems.
― 5 min read
Optimization and ControlHandling Delays in Gradient DescentLearn how to manage delays in gradient descent effectively.
― 5 min read
Computational PhysicsAdvancements in Exact Diagonalization Using ChapelA look at the lattice-symmetries package for quantum many-body physics.
― 6 min read
Distributed, Parallel, and Cluster ComputingMeld: A New Framework for Neutrino Data ProcessingMeld simplifies data processing for neutrino experiments, enhancing researcher efficiency.
― 6 min read
Distributed, Parallel, and Cluster ComputingMANA: A Transparent Solution for MPI CheckpointingMANA simplifies checkpointing for MPI applications, ensuring easy integration and reliable performance.
― 6 min read
Distributed, Parallel, and Cluster ComputingImproving Data Transfers in Serverless ComputingA new method for efficient data sharing between cloud functions.
― 5 min read
Distributed, Parallel, and Cluster ComputingThe Future of Edge Storage SystemsUnderstanding the challenges and opportunities in edge storage technology.
― 7 min read
Machine LearningAdvancements in Federated Learning with FDEQA look at Federated Deep Equilibrium Learning and its impact on AI.
― 6 min read
Distributed, Parallel, and Cluster ComputingCanary: A New Method for Allreduce OperationsCanary improves allreduce performance by adapting to network congestion dynamically.
― 6 min read
Distributed, Parallel, and Cluster ComputingThe Future of Computing: Converged SolutionsCombining HPC and cloud computing for better performance and cost savings.
― 6 min read
Distributed, Parallel, and Cluster ComputingPredicting Cloud Service Outages: A New ApproachLearn how to forecast cloud service outages using performance metrics.
― 7 min read
Distributed, Parallel, and Cluster ComputingEvaluating the Impact of Lossy Compression on AMR Data VisualizationThis study examines how lossy compression affects visualization of adaptive mesh refinement data.
― 5 min read
Machine LearningOptimizing Transformers on Habana GAUDI ProcessorsEvaluating performance of Transformer models using specialized GAUDI hardware.
― 5 min read