Software EngineeringLASSI: A New Tool for Parallel Code TranslationLASSI 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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This article explores the benefits of using FP8 in federated learning.
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Strategies for minimizing carbon emissions in datacenters through improved predictions.
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MIREncoder improves code optimization using multi-modal representation and machine learning.
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A formal approach to verify the correctness of DAG-based consensus protocols.
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A new system speeds up image creation while maintaining quality.
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A new framework improves federated learning while ensuring data privacy.
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A new system enhances ML model serving by combining accuracy and hardware scaling.
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This method improves communication efficiency in federated learning while preserving data privacy.
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A method for calculating averages while keeping node data private.
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A new system aims to improve speed and efficiency in analyzing genetic data.
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Edge AI processes data closer to its source, improving speed and security.
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Research highlights strategies for reducing energy use in large language models.
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A look into grid networks, their components, and management strategies.
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New method improves model performance on unseen data.
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New techniques improve training speeds for deep learning recommendation models.
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This article explores key techniques for compressing large scientific datasets effectively.
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This study examines how network layout affects decentralized federated learning amidst Byzantine threats.
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This article explores new methods for simulating fluid flows with GPU technology.
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pFedDIL improves machine learning by retaining knowledge while adapting to new tasks.
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An overview of cloud and on-premise AI infrastructures.
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This study reveals how shared randomness improves efficiency in solving local distributed problems.
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This article discusses enhancing fault tolerance in hybrid workflows using recovery methods.
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A streamlined approach to implementing Orthogonal Matching Pursuit for sparse solutions.
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A method to improve deep learning deployment on limited-resource devices.
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An overview of the interactions in Cyber Physical Systems and their implications.
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A new method addresses data challenges in AI for healthcare.
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