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Exascale computing and data architectures for brownfield applications

机译:用于棕地应用的百亿亿次计算和数据架构

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Despite the recent dramatic advances in the computational and data processing capacities of the commodity solutions, a numerous scientific, socioeconomic and industrial “grand challenges” exists that could be solved only through capabilities that exceed the current solutions by orders of magnitude. To demonstrate the feasibility of addressing these problems necessitating processing of exascale data sets, novel architectural approaches are needed. These architectures need to support efficient service composition and balancing infrastructure- and user-centric points of view of exascale infrastructures and services. This combination of bottom-up and top-down approaches aims at narrowing the gap between infrastructure services and paving the way towards future high capacity generations einfrastructure. The resulting architecture will help us provide computing solutions to exascale challenges within the H2020 project PROCESS11PROCESS project homepage https://www.process-project.eu/.
机译:尽管最近商品解决方案的计算和数据处理能力有了显着进步,但仍然存在许多科学,社会经济和工业“重大挑战”,只有通过将当前解决方案的能力超过当前解决方案一个数量级,才能解决这些挑战。为了证明解决这些问题的可行性,这些问题需要处理亿亿级数据集,因此需要新颖的架构方法。这些体系结构需要支持有效的服务组合,并平衡以基础架构和以用户为中心的百亿亿次基础架构和服务的观点。自下而上和自上而下方法的结合旨在缩小基础设施服务之间的差距,并为未来的高容量新一代基础设施铺平道路。最终的架构将帮助我们在H2020项目PROCESS中提供应对百亿挑战的计算解决方案 11 PROCESS项目主页https://www.process-project.eu/。

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