Distributed, Parallel, and Cluster ComputingImproving Particle Interaction Calculations with GPUsNew methods boost particle interaction calculations using Graphics Processing Units.
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AI transforms how scientists tackle complex research challenges.
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New method enhances DNN training efficiency and reduces memory use.
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This article discusses the role of GPUs in simulating complex multiphase flows.
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A look at how impure simplicial complexes improve understanding of complex agent interactions.
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This article discusses improving satellite communication through blockchain technology.
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New framework enhances energy use monitoring in FaaS systems for better efficiency.
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FedBiOT improves large language models while keeping data private and resource usage low.
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A study on improving core decomposition methods using distributed computing.
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A new unified system improves efficiency in serving large language models.
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A look into the importance of verifying CCF for secure cloud applications.
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Robots need to communicate effectively for tasks, making mutual visibility essential.
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Study uncovers how static analysis warnings relate to architectural design flaws.
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Techniques to enhance performance in training models with differential privacy.
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Exploring new methods to enhance cellular automata simulations using tensor cores.
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A new method enhances resource predictions for cloud environments, ensuring efficient operations.
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A new system enhances the training of large language models with long sequences.
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Automatic tracing simplifies task management in parallel programming for better performance.
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Task fusion enhances performance in distributed computing through efficient task management.
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A new system facilitates private use of LLMs through HPC resources.
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New Ising machine model improves optimization problem solving and computational speed.
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A new method boosts matrix multiplication performance using sparse matrices.
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This paper presents a new DNN-based IDS in programmable networks.
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Examining how threshold automata improve distributed algorithm verification.
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A new system enhances memory management for long-text generation in language models.
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Energy GNNs improve communication and adaptation in multi-agent systems.
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LASSI helps translate computer programs for efficient scientific computing.
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A new model that helps cloud applications use serverless resources effectively.
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A new system improves cloud performance and reduces costs by combining VMs and FaaS.
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AAggFF introduces adaptive strategies for equitable model performance in Federated Learning.
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This study focuses on OTA computing to improve device communication in networks.
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WallFacer improves efficiency in training long sequence Transformer models with optimized communication.
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A new method enhances data freshness for smart vehicles using innovative algorithms.
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SWIRL simplifies complex scientific workflows for better efficiency and interoperability.
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LLload makes it easier to track job performance on HPC systems.
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A new method reduces energy use while improving learning outcomes in decentralized systems.
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Coded computing offers a fresh approach to optimize server efficiency.
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Exploring the optimization of DNNs for devices with limited energy supply.
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Examining the challenges in constructing data centers for training large language models.
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DRLQ enhances task assignment for quantum resources, boosting efficiency in cloud computing.
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