Abstract. The article presents a markup domain-specific language (DSL) for concurrent programming. Runtime libraries and language extensions are the usual ways to implement parallel execution. However, their using often requires a special programming skill. The modern languages with build-in parallel constructs are more convenient for programming, but they are poorly integrated with existing high performance computing infrastructure. We propose a compromise solution which uses DSL together with C++ programming language. The article discusses syntax, programming model, and some practical applications of the language.Keywords: domain-specific language, parallel programming, actor model, language-oriented programming, skeleton programming.Citation: Vostokin SV. Templet: a markup language for concurrent actororiented programming.

Описан программный комплекс для автоматизации параллельного программирования GraphPlus templet. Рассмотрены цели проектирования, архитектура, эффективность применения при решении задач численного моделирования, особенности в сравнении с аналогичными подходами. Описан состав комплекса программ, приведена оценка сложности параллельного программирования численных методов при его использовании. Ключевые слова: комплекс программ, параллельное программирование, модель вычислений, схемы программ, доменно-ориентированный язык, автоматизация программирования, численное моделирование.

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This article presents the Templet Web cloud service. The service is designed for high-performance scientific computing automation. The use of high-performance technology is specifically required by new fields of computational science such as data mining, artificial intelligence, machine learning, and others. Cloud technologies provide a significant cost reduction for high-performance scientific applications. The main objectives to achieve this cost reduction in the Templet Web service design are: (a) the implementation of “on-demand” access; (b) source code deployment management; (c) high-performance computing programs development automation. The distinctive feature of the service is the approach mainly used in the field of volunteer computing, when a person who has access to a computer system delegates his access rights to the requesting user. We developed an access procedure, algorithms, and software for utilization of free computational resources of the academic cluster system in line with the methods of volunteer computing. The Templet Web service has been in operation for five years. It has been successfully used for conducting laboratory workshops and solving research problems, some of which are considered in this article. The article also provides an overview of research directions related to service development.

The article states an approach for developing a distributed application architecture for dynamic systems analysis in a hybrid cloud. The problem that was posed as an example is based on the calculation of the Lyapunov characteristic exponents for trajectories of dynamical systems in phase space. Parallelization of the computational process is achieved by supplying the list of running tasks for computing Lyapunov characteristic exponents, depending on the result of finished tasks during calculations. We have implemented a distributed application to make this experiment automated. The architecture of application elements is established on the principles of the enterprise desktop grid and cloud systems. A vital detail of the application architecture is the deployment process based on a cloud hybrid computing environment using the Jupyter server running on the DigitalOcean cloud platform and the Everest cloud platform simultaneously with the Maple package.