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Featured Talk: Supporting Science Through Data Management Software
DescriptionSuccessful science relies on data in many forms. Data management in computational science historically revolved around inputs and outputs of simulations and middleware libraries executed on HPC platforms. More recently, increasingly complex workflows, coupled with a greater variety of computational tasks, has prompted the development of new data management software to meet new requirements, including streaming services, specialized model repositories, and vector databases. Rapid change driven by AI and the incorporation of geographically distributed resources is altering the landscape yet again.This talk will first discuss recent progress, successes, and lessons learned through our efforts to better understand and accelerate the development of data management services for computational science. It then pivots to consider trends in how we pursue science and their implications for data management software going forward.