| TANA77 | Programming of Parallel Computers, Scientific Computations, 6 ECTS credits. /Programmering av parallelldatorer, tekniska beräkningar/ |
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OBS! |
The course overlaps with TDDC78. Only on of these courses may be included in the degree. |
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Prel. scheduled
hours: 52 |
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Area of Education: Science Main field of studies: Mathematics, Applied Mathematics |
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| Advancement level
(G1, G2, A): A
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| Aim: Parallel computers are used for heavy computations. The student should acquire knowledge about the programming of parallel computers and master selected methods and tools. The course shall also give an overview of how parallel computers can be used in some application areas, e.g. scientific computations and image analysis. After the course the student is expected to be able to 1) use efficient methods and languages for the programming of parallel computers, 2) program parallel computers with distributed memory (MPI) and shared memory (OpenMp) |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) Basic courses in programming and numerical methods. Fortran is recommended. Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: The lectures deal with theory and principles, and the laboratory course give practical exercise in parallel programming and the use of support systems. The lectures are the same for both variants, while the laboratory courses for TANA77 and TDDB78 differ. |
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| Course contents: Parallel computer architecture: memory hierarchies, shared memory and distributed memory architectures. Vector instructions. Parallel execution models and programming languages. Performance measurement and enhancement. Message passing, multithreaded and dataparallel programming. Principles of data parallel languages. Time complexity. Scalability. Scheduling of parallel programs. Tools for parallel programming. MPI (Message Passing Interface), HPF (High Performance Fortran) and OpenMP. Grid computing. Basic parallel algorithms and BLAS (Basic Linear Algebra Subprograms). Application areas. Parallel solving of equation systems. The laboratory course gives practical experience in programming parallel systems (different programming paradigms are used). Four Different parallel computers including a 272-processors Cray T3E and 96-processors SGI Origin 3800 at National Supercomputer Center are used in the laboratory course. |
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| Course literature: L. Elde'n, Scientific computing on high performance computers, Lecture Notes, Edition 2005. C. Kessler, Programming of parallel computers - Compendium OHs, Edition 2005. |
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| Examination: | |||
| Written examination Laboratory work |
3 ECTS 3 ECTS |
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Course language is English. Department offering the course: MAI. Director of Studies: Torbjörn Larsson Examiner: Henrik Brandén Link to the course homepage at the department Course Syllabus in Swedish |
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