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Accelerating Deep Learning Model Training on Cloud Tensor Processing Unit.

, , and . CLOSER, page 316-323. SCITEPRESS, (2023)

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Exploration of Load Balancing Thresholds to Save Energy on Iterative Applications., , , , and . CARLA, volume 697 of Communications in Computer and Information Science, page 76-88. (2016)Edge Computing versus Cloud Computing: Impact on Retinal Image Pre-processing., , , , , and . SBAC-PADW, page 51-56. IEEE, (2022)Evaluating Performance and Energy on ARM-based Clusters for High Performance Computing., , , and . ICPP Workshops, page 165-172. IEEE Computer Society, (2012)Saving energy by exploiting residual imbalances on iterative applications., , , , and . HiPC, page 1-10. IEEE Computer Society, (2014)Towards a Multi-GPU Implementation of a Seismic Application., , , , , and . CARLA, volume 1887 of Communications in Computer and Information Science, page 146-159. Springer, (2023)Improving I/O Performance of RTM Algorithm for Oil and Gas Simulation., , , , , and . WSCAD, page 270. IEEE, (2018)Evaluating application performance and energy consumption on hybrid CPU+GPU architecture., , , , , and . Clust. Comput., 16 (3): 511-525 (2013)Offloading the Training of an I/O Access Pattern Detector to the Cloud., , , , and . SBAC-PAD (Workshops), page 15-19. IEEE, (2021)Accelerating Deep Learning Model Training on Cloud Tensor Processing Unit., , and . CLOSER, page 316-323. SCITEPRESS, (2023)