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Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance., , , , , , and . CoRR, (2018)Parallel Comparison of Huge DNA Sequences in Multiple GPUs with Block Pruning., , , and . PDP, page 22-29. IEEE, (2020)Utility-Based Strategy for Balanced Cost and Availability at the Cloud Spot Market., , , and . CLOUD, page 214-218. IEEE, (2019)Efficient Methods and Parallel Execution for Algorithm Sensitivity Analysis with Parameter Tuning on Microscopy Imaging Datasets., , , , , and . CoRR, (2016)Comparing SARS-CoV-2 Sequences using a Commercial Cloud with a Spot Instance Based Dynamic Scheduler., , , , , and . CCGRID, page 247-256. IEEE, (2021)A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-Based Spot GPU Instances., , , , , and . Euro-Par, volume 12820 of Lecture Notes in Computer Science, page 317-333. Springer, (2021)Adaptive patch grid strategy for parallel protein folding using atomic burials with NAMD., and . J. Parallel Distributed Comput., (2024)MAS-Cloud+: A novel multi-agent architecture with reasoning models for resource management in multiple providers., , , , , and . Future Gener. Comput. Syst., (2024)Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows., , , , , , and . J. Digit. Imaging, 32 (3): 521-533 (2019)Parallel Biological Sequence Comparison in Linear Space with Multiple Adjustable Bands., , , and . AlCoB, volume 10252 of Lecture Notes in Computer Science, page 167-179. Springer, (2017)