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Level: Bachelor Semestre: 3rd ECTS: 3 Working Hours:
- Contact: 48
- Self-study: 60
- Total: 108
Language of Instruction: English Author of the Course: Alexander Starchenko, Doctor of Science, Professor Lecturers: Alexander Starchenko, Doctor of Science, Professor
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Objectives:
- Mastering of the parallel implementation of numerical algorithms on modern multiprocessor computing technology with distributed memory.
Learning Outcomes:
- Know the basic approaches to creating parallel computational algorithms and ways of their implementation on multiprocessor computer technology with distributed memory;
- Be able to develop, debug and verify parallel programs for distributed memory systems based on the transmission model messages; conduct a theoretical analysis and evaluation of the effectiveness of the parallel programs;
- Have the skills to implement the methods of computational mathematics on cluster systems, conducting theoretical evaluations of the effectiveness of the resulting parallel programs.
Assessment Methods:
- The current control of mastering the discipline includes two lab reports. The final control – pass/fail.
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Centre for Joint Academic Programmes