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Special Issue on High-Performance eScience key technologies, tools, and applications Submission deadline: 31 March 2025 Motivation and Scope For some time, eScience tools and applications have been first-class citizens in the parallel and distributed computing ecosystem, especially at extreme scales. With the advent of deep learning and foundation models, this trend has been fated to continue. Researchers across various domains leverage advanced computational techniques to analyze vast data, simulate complex systems, and accelerate scientific workflows. Furthermore, when moving from the researcher’s desk to a production-grade pipeline, all parallel and distributed computing algorithms must integrate more or less directly with eScience tools and applications. The convergence between the modular nature of modern applications and the eScience domain, coupled with diverse hardware configurations, necessitates adaptable workflow systems. These systems must support various execution enviro
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