PV193 Accelerated Algorithms

Faculty of Informatics
Spring 2013
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
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 8:00–9:50 B202
Prerequisites
Courses PA174 - Design of Digital Systems II, PA176 - Digital Systems Architecture II, PB161 - C++ are necessary for current course.
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 32 fields of study the course is directly associated with, display
Abstract
Main aim of this course is understand and master theoretical knowledges necessary for design of the acceleration mechanism for use in the digital system design. The lessons are specialized in particular into following topics:
principles of algorithm acceleration;
application of the hybrid systems.
Key topics
  • Principles of algorithm acceleration;
  • application of the parallelism and computational capacity distribution;
  • using of the hybrid systems and hardware accelerators;
  • Acceleration depending on the types of data fields - double, init a char;
  • acceleration based on data array types - blank, scalar, vector;
  • acceleration depending on program structures - cycles and conditional statement based on condition of the scalar value.
Study resources and literature
  • Bull, M.: Writing Parallel Programs Using OpenMP, Version 1.2. EPCC, University of Edinburgh,
  • Foster, I.: Designing and Building Parallel Programs. Addisson-Wesley, 1995.
Approaches, practices, and methods used in teaching
Lectures that correspond to intended aims of tuition.
Method of verifying learning outcomes and course completion requirements
Final examination consists of 2 parts:
1) written test - acceleration of the selected algorithm;
2) oral exam - theoretical problems from list of the passed subjects.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2017, Spring 2019, Spring 2020, Spring 2021, Spring 2022.
  • Enrolment Statistics (Spring 2013, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2013/PV193