FI:PV193 Accelerated Algorithms - Course Information
PV193 Accelerated Algorithms
Faculty of InformaticsSpring 2008
- Extent and Intensity
- 2/0. 4 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. Ing. Václav Přenosil, CSc. (lecturer)
- Guaranteed by
- prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Mon 18:00–19:50 B011
- Prerequisites
- Non sequece - introduction of the problem.
- 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
- there are 37 fields of study the course is directly associated with, display
- Course objectives
- Principles of algorithm acceleration, aplication of the parallelism design, aplication of the hybrid systems, acceleration based on data types, data array, and program structures.
- Syllabus
- Principles of algotithm acceleraton Application of the parallelism and computional capacity distribution Using of the hybrid systems and harware accelerators Acceleration in depence on data types - double, init a char Acceleration based on data array types - blank, scalar, vector Acceleration in depence on program structures - cycles and conditional statement based on conditon of the acalar value.
- Literature
- Foster, I.: Designing and Building Parallel Programs. Addisson-Wesley, 1995.
- Bull, M.: Writing Parallel Programs Using OpenMP, Version 1.2. EPCC, University of Edinburgh,
- Assessment methods (in Czech)
- Zkouška se skládá ze dvou částí: 1) příklad - akcelerace algoritmu řešení vybraného problému, 2) ústní odpověď na teoretickou otázku z přehledu témat ke zkoušce.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course is taught annually.
- Enrolment Statistics (Spring 2008, recent)
- Permalink: https://is.muni.cz/course/fi/spring2008/PV193