| Type: | Ph.D.-level, Open University
Language: English |
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Prerequisite: 04120/C0310.04210/C0202.49270/C4334. Requires experience with programming in C or Fortran
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Recommended semester: 7th - 9th semester
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Scope and form: Lectures and project work.
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Examination: Three assignments (13-scale)
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Participant limitation: max. 50
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Remarks: Programming and implementation is an essential part of the course, and experience with programming in C or Fortran is necessary. Contact P. C. Hansen about the prerequisites.
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URL: http://www.imm.dtu.dk/courses/04310
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Department: Informatics and Mathematical Modelling
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Aim: To enable the students to work with large-scale problems in mathematical modelling and their implementation on high-performance computers.
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Contents: Introduction to high-performance computers (work-stations, vector and parallel computers) emphasizing those aspects that are important in connection with numerical computations on lage data sets. Case-studies in scientific computing, illustrating the relations between mathematical modelling, algorithm development, and computer implementation for large-scale problems: e.g. image deblurring by means of the conjugate gradient algorithm; solution of Poisson problems by means of the multigrid method; parallel programming with MPI; automatic differentiation.
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