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Course detail
FIT-PPPAcad. year: 2023/2024
The course covers architecture and programming of parallel systems with functional and data parallelism. First, the parallel system theory and program parallelization are discussed. The detailed description of most proliferated supercomputing systems, interconnection network typologies and routing algorithms is followed by the architecture of parallel and distributed storage systems. The course goes on in message passing programming in standardized interface MPI. Consequently, techniques for parallel debugging and profiling are discussed. Last part of the course is devoted to the description of parallel programming patterns and case studies from the are of linear algebra, physical systems described by partial differential equations, N-Body systems and Monte-Carlo methods.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Von-Neumann computer architecture, computer memory hierarchy, cache memories and their organization, programming in C/C++. Knowledge gained in courses PRL and AVS.
Rules for evaluation and completion of the course
Assessment of a project, 10 hours in total and a midterm examination.
Aims
To get familiar with the architecture of distributed supercomputing systems, their interconnection networks and storage. To orientate oneself in parallel systems on the market, be able to assess communication and computing possibilities of a particular architecture and to predict the performance of parallel applications. Learn how to write portable programs using standardized interfaces and languages, specify parallelism and process communication. To learn how to practically use supercoputer for solving complex engineering problems.Overview of principles of current parallel system design and of interconnection networks, communication techniques and algorithms. Survey of parallelization techniques of fundamental scientific problems, knowledge of parallel programming in MPI. Knowledge of basic parallel programming patterns. Practical experience with the work on supercomputers, ability to identify performance issues and propose their solution.Knowledge of capabilities and limitations of parallel processing, ability to estimate performance of parallel applications. Language means for process/thread communication and synchronization. Competence in hardware-software platforms for high-performance computing and simulations.
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
eLearning
Classification of course in study plans
branch MBI , any year of study, summer semester, compulsory-optionalbranch MGM , any year of study, summer semester, compulsory-optionalbranch MIS , any year of study, summer semester, electivebranch MBS , any year of study, summer semester, electivebranch MIN , any year of study, summer semester, electivebranch MMM , any year of study, summer semester, elective
specialization NADE , any year of study, summer semester, electivespecialization NBIO , any year of study, summer semester, compulsoryspecialization NGRI , any year of study, summer semester, electivespecialization NNET , any year of study, summer semester, electivespecialization NVIZ , any year of study, summer semester, electivespecialization NCPS , any year of study, summer semester, electivespecialization NSEC , any year of study, summer semester, electivespecialization NISD , any year of study, summer semester, electivespecialization NIDE , any year of study, summer semester, electivespecialization NISY , any year of study, summer semester, electivespecialization NISY do 2020/21 , any year of study, summer semester, electivespecialization NMAL , any year of study, summer semester, electivespecialization NMAT , any year of study, summer semester, electivespecialization NSEN , any year of study, summer semester, electivespecialization NVER , any year of study, summer semester, electivespecialization NSPE , any year of study, summer semester, elective
branch MPV , 1. year of study, summer semester, compulsorybranch MSK , 1. year of study, summer semester, compulsory
specialization NHPC , 1. year of study, summer semester, compulsoryspecialization NEMB , 2. year of study, summer semester, compulsoryspecialization NEMB do 2021/22 , 2. year of study, summer semester, compulsory
Lecture
Teacher / Lecturer
Syllabus
Exercise in computer lab
Project