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Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology., , , , , and . BIOINFORMATICS, page 290-294. SciTePress, (2012)SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia., , , , , , , , , and 5 other author(s). eScience, page 219-227. IEEE Computer Society, (2017)An adaptive algorithm for simulation of stochastic reaction-diffusion processes., , and . J. Comput. Phys., 229 (2): 343-360 (2010)HarmonicIO: Scalable Data Stream Processing for Scientific Datasets., , , , and . IEEE CLOUD, page 879-882. IEEE Computer Society, (2018)Toward efficient resource utilization at edge nodes in federated learning., , , and . Prog. Artif. Intell., 13 (2): 101-117 (June 2024)Hyperparameter Optimization for Approximate Bayesian Computation., and . WSC, page 1718-1729. IEEE, (2018)CellMC - a multiplatform model compiler for the Cell Broadband Engine and x86., and . Bioinform., 26 (3): 426-428 (2010)Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning., and . Bioinform., 35 (24): 5199-5206 (2019)MOLNs: A cloud platform for interactive, reproducible and scalable spatial stochastic computational experiments in systems biology using PyURDME., , , , and . CoRR, (2015)Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy., , , and . CoRR, (2019)