[BOOK][B] Parallel Computing Technologies: 17th International Conference, PaCT 2023, Astana, Kazakhstan, August 21–25, 2023, Proceedings

V Malyshkin - 2023 - books.google.com
V Malyshkin
2023books.google.com
The 17th International Conference on Parallel Computing Technologies (PaCT 2023) was a
four-day event held in Astana, Kazakhstan. It was organized by the Institute of
Computational Mathematics and Mathematical Geophysics of the Russian Academy of
Sciences (Novosibirsk) in cooperation with Astana IT University (Astana, Kazakhstan),
Novosibirsk State University, and Novosibirsk State Technical University. The PaCT
conference series started in Novosibirsk (Akademgorodok) in 1991 and has been held in …
The 17th International Conference on Parallel Computing Technologies (PaCT 2023) was a four-day event held in Astana, Kazakhstan. It was organized by the Institute of Computational Mathematics and Mathematical Geophysics of the Russian Academy of Sciences (Novosibirsk) in cooperation with Astana IT University (Astana, Kazakhstan), Novosibirsk State University, and Novosibirsk State Technical University. The PaCT conference series started in Novosibirsk (Akademgorodok) in 1991 and has been held in various Russian cities mainly every odd year since then. The 15th Conference, PaCT 2019, took place in Almaty, Kazakhstan, and it was an honor to collaborate with our partners in Kazakhstan this year again. Since 1995, all the PaCT proceedings have been published by Springer in the LNCS series. The aim of the PaCT 2023 conference was to provide a forum for an exchange of views among the international community of researchers in the field of the development of parallel computing technologies. The PaCT 2023 Program Committee selected papers that contributed new knowledge in methods and tools for parallel solution of large-scale numerical simulation and data processing problems. The papers selected for PaCT 2023
–present results in development of automatic programming tools,–study parallel implementation of basic data structures and algorithms,–propose high-level HPC/HTC services and frameworks,–investigate the problems of HPC systems management, such as job scheduling and monitoring.
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