I039 Supercomputer Architecture and Intensive Computations

Faculty of Informatics
Spring 2000
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
prof. RNDr. Luděk Matyska, CSc. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. RNDr. Luděk Matyska, CSc.
Prerequisites
At least elementary knowledge of programming languages FORTRAN, C and eventually C++ is expected.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • High performance vector and superscalar processors.
  • Uniprocesor computers, computers with small number of processors, massively parallel computers; distributed systems.
  • Performance measurements, LINPACK test, TOP 500 list.
  • High performance uniprocessor systems, programming languages, methodology of efficient program writting, basis optimization methods for vector and superscalar computers.
  • Distributed systems, data and task decomposition, coarse grain parallelism, programming systems (PVM, LINDA, ...). Multiprocessor systems with shared memory, programming languages, decompozition of algorithms, basis optimization methods for small number of processors.
  • Massively parallel systems, parallel algorithms, fine grain parallelism.
  • Shared, distributed, and distributed shared memory; other alternatives. Sdílená, distribuovaná a distribuovaná sdílená paměť.
  • Scalability of computers and tasks.
Literature
  • PROTIC, Jelica, Milo TOMASEVIC and Veljko MILUTINOVIC. Distributed shared memory. Los Alamitos: IEEE Computer Society, 1998, x, 365 s. ISBN 0-8186-7737-6. info
  • FOSDICK, Lloyd D. An introduction to high-performance scientific computing. Cambridge: MIT Press, 1996, ix, 760. ISBN 0262061813. info
  • WOLFE, Michael Joseph. High performance compilers for parallel computing. Redwood City: Addison-Wesley Publishing Company, 1996, xiii, 570. ISBN 0-8053-2730-4. info
  • WILSON, Greg. Practical parallel programming. Cambridge: MIT Press, 1995, viii, 564. ISBN 0262231867. info
  • DOWD, Kevin. High performance computing. Sebastopol: O'Reilly & Associates, 1993, xxv, 371 s. ISBN 1-56592-032-5. info
Language of instruction
Czech
Further Comments
The course is taught once in two years.
The course is taught: every week.
The course is also listed under the following terms Spring 1996, Spring 1998, Spring 2002.
  • Enrolment Statistics (Spring 2000, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2000/I039