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Course detail
FIT-PDDAcad. year: 2020/2021
The course gives an overview of usable parallel platforms and models of programming, mainly shared-memory programming (OpenMP), message passing (MPI) and data-parallel programming (CUDA, OpenCL). A parallelization methodology is completed by performance studies and applied to a particular problem. The emphasis is put on practical aspects and implementation.
Language of instruction
Mode of study
Guarantor
Department
Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
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Basic literature
Recommended reading
Classification of course in study plans
branch DVI4 , 0 year of study, winter semester, elective
Lecture
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Syllabus
Guided consultation in combined form of studies