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Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading.

, , , , , , , , , and . Concurrency and Computation: Practice and Experience, (2017)

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Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading., , , , , , , , , and . Concurrency and Computation: Practice and Experience, (2017)Applications of the FACE-IT Data Science Portal and Workflow Engine for Operational Food Quality Prediction and Assessment: Mussel Farm Monitoring in the Bay of Napoli, Italy., , , , , , , , and . WORKS@SC, volume 1800 of CEUR Workshop Proceedings, page 64-68. CEUR-WS.org, (2016)Marine bathymetry processing through GPGPU virtualization in high performance cloud computing., , , , , , and . Concurrency and Computation: Practice and Experience, (2018)WaComM: A Parallel Water Quality Community Model for Pollutant Transport and Dispersion Operational Predictions., , , , , and . SITIS, page 717-724. IEEE Computer Society, (2016)Internet of Things orchestration using DagOn* workflow engine., , , and . WF-IoT, page 95-100. IEEE, (2019)Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources., , , , , , , , , and . PPAM (2), volume 10778 of Lecture Notes in Computer Science, page 14-24. Springer, (2017)Performance, Resilience, and Security in Moving Data from the Fog to the Cloud: The DYNAMO Transfer Framework Approach., , , , and . IDCS, volume 11226 of Lecture Notes in Computer Science, page 197-208. Springer, (2018)High resolution remote sensing data for environmental modelling: Some case studies., , , , , and . RTSI, page 1-5. IEEE, (2017)Processing of crowd-sourced data from an internet of floating things., , , , , , and . WORKS@SC, page 8:1-8:11. ACM, (2017)CUDA Virtualization and Remoting for GPGPU Based Acceleration Offloading at the Edge., , , , and . IDCS, volume 11874 of Lecture Notes in Computer Science, page 414-423. Springer, (2019)