Abstract
The rise of computational science has facilitated rapid progress in many areas of science and technology over the last decade. There is a growing demand in computational scientists and engineers capable of efficient collaboration in interdisciplinary groups. Training such specialists includes courses on numerical analysis and parallel computing. In this paper we present a new Master’s course Parallel Numerical Methods which bridges the gap between theoretical aspects of numerical methods and issues of implementation for modern multicore and manycore systems. The course aims to guide students through the complete process of solving computational problems, from a problem statement to developing parallel software and analyzing results of computational experiments. An important feature is that many of practical classes are based on research done at the HPC Center of the University of Nizhni Novgorod and therefore illustrate issues, which students may encounter in their research and future career.
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Meyerov, I., Bastrakov, S., Barkalov, K., Sysoyev, A., Gergel, V. (2017). Parallel Numerical Methods Course for Future Scientists and Engineers. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2017. Communications in Computer and Information Science, vol 793. Springer, Cham. https://doi.org/10.1007/978-3-319-71255-0_1
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DOI: https://doi.org/10.1007/978-3-319-71255-0_1
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