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PaCT' 2025: International Conference on Parallel Computing Technologies

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Día de Entrega:
2025-03-17
Fecha de Notificación:
2025-06-18
Fecha de conferencia:
2025-10-06
Ubicación:
Almaty, Kazakhstan
Ediciones:
18
Vistas: 22566   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

PaCT' 2025 (International Conference on Parallel Computing Technologies) is an academic conference held in Almaty, Kazakhstan on 2025-10-06. The paper submission deadline is 2025-03-17. Acceptance notifications are sent on 2025-06-18.

The Institute of Computational Mathematics and Mathematical Geophysics (Russian Academy of Sciences), Novosibirsk State University, Novosibirsk State Technical University, Al-Farabi Kazakh National University (Almaty) are jointly organizing the 18th International Conference on Parallel Computing Technologies (PaCT-2025) to be held in Almaty, Kazakhstan, October 6–10, 2025. The proceedings of previous PaCT conferences are available as volumes of Lecture Notes in Computer Science series (Springer) since 1995: https://link.springer.com/conference/pact. The aim of the PaCT-2025 is to give an overview of new developments, applications, and trends in parallel computing technologies. We sincerely hope that the conference will help our community to deepen understanding of parallel computing technologies by providing a forum for an exchange of views between scientists and specialists from all over the world. We welcome your active participation. Main topics All technological aspects of the applications of parallel computer systems High level parallel programming languages and systems Methods and tools for parallel solution of large-scale problems Languages, environments and software tools supporting parallel processing Operating systems, scheduling, mapping, load balancing General architectural concepts Cellular automata Performance measurement and analysis tools Active knowledge and program construction Software for grid and cloud computing Scalable computing Fragmentation and aggregation of algorithms and programs Programs assembling and reuse Distributed algorithms
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