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Orlando Tools: Development, Training, and Use of Scalable Applications in Heterogeneous Distributed Computing Environments

Авторы: Tchernykh A., Feoktistov A., Gorsky S., Sidorov I., Kostromin R., Bychkov I., Basharina O., Alexandrov V., Rivera-Rodriguez R.

Журнал: Proc. 5th Latin American Conf. on High Performance Computing (CARLA'2018; Bucaramanga, Colombia, September 26-28, 2018)

Том: 979

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Год: 2019

Отчётный год: 2019

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Аннотация: We address concepts and principles of the development, training, and use of applications in heterogeneous environments that integrate different computational infrastructures including HPC-clusters, grids, and clouds. Existing differences in the Grid and cloud computing models significantly complicate problem-solving processes in such environments for end-users. In this regards, we propose the toolkit named Orlando Tools for creating scalable applications for solving large-scale scientific and applied problems. It provides mechanisms for the subject domain specification, problem formulation, problem-solving time prediction, problem-solving scheme execution, monitoring, etc. The toolkit supports hands-on training skills for end-users. To demonstrate the practicability and benefits of Orlando Tools, we present an example of the development and use of the scalable application for solving practical problems of warehouse logistics.

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