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E.T.S.I. DE INFORMÁTICA
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from 2024
to 2024
Distributed, Parallel, and Cluster Computing
2024
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CPU and GPU oriented optimizations for LiDAR data processing
Journal of Computational Science, Vol. 79
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Continuous QoS-compliant orchestration in the Cloud-Edge continuum
Software - Practice and Experience, Vol. 54, Núm. 11, pp. 2191-2213
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Exploring multiprocessor approaches to time series analysis
Journal of Parallel and Distributed Computing, Vol. 188
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Functions as a service for distributed deep neural network inference over the cloud-to-things continuum
Software - Practice and Experience, Vol. 54, Núm. 8, pp. 1297-1311
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Online learning and continuous model upgrading with data streams through the Kafka-ML framework
Future Generation Computer Systems, Vol. 160, pp. 251-263
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Parallel PSO for Efficient Neural Network Training Using GPGPU and Apache Spark in Edge Computing Sets
Algorithms, Vol. 17, Núm. 9
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The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka-ML: A deep-learning performance comparative
Expert Systems, Vol. 41, Núm. 2
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Towards flexible data stream collaboration: Federated Learning in Kafka-ML
Internet of Things (Netherlands), Vol. 25