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MScheduler: Leveraging Spot Instances for High-Performance Reservoir Simulation in the Cloud.

, , , , , and . CloudCom, page 99-106. IEEE, (2023)

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TunaOil: A tuning algorithm strategy for reservoir simulation workloads., , , and . J. Comput. Sci., (2022)MScheduler: Leveraging Spot Instances for High-Performance Reservoir Simulation in the Cloud., , , , , and . CloudCom, page 99-106. IEEE, (2023)Towards automatic model specialization for edge video analytics., , , , , and . Future Gener. Comput. Syst., (2022)AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management., , and . HotCloud, USENIX Association, (2020)Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based Workloads., , , , , , , and . ISC Workshops, volume 13999 of Lecture Notes in Computer Science, page 458-471. Springer, (2023)Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices., , , , , , and . IEEE Internet Things J., 9 (16): 15018-15029 (2022)VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services., , , , , , , , , and 14 other author(s). DSD, page 302-308. IEEE, (2023)Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation., , , and . IPDPS Workshops, page 1045-1052. IEEE, (2022)Improved self-management of datacenter systems applying machine learning.. Polytechnic University of Catalonia, Spain, (2013)Proactive Container Auto-scaling for Cloud Native Machine Learning Services., , , and . CLOUD, page 475-479. IEEE, (2020)