In the introductory lectures, we will focus on general approaches to design of parallel algorithms and their properties important for understanding the fundamental principles of parallel and distributed algorithms. Subsequently, we will talk about fundamental parallel algorithms; typically constituting cornerstones of algorithms for real-world problems. The laboratory exercises will be aimed at hardware platform commonly used in practice (multi-core CPUs).

C/C++, basic Linux skills, algorithms

No. | Title | Notes | Handouts |
---|---|---|---|

1 | Introduction to Parallel Computing | Chapter 2 | |

2 | Principles of Parallel Algorithms Design | Chapter 3 | |

3 | Basic Communication Operations | Chapter 4 | |

4 | Analytical Modeling of Parallel Algorithms | Chapter 5 | |

5 | Matrix Algorithms | Chapter 8 | |

6 | Algorithms for Linear Algebra | Chapter 8 | |

7 | Sorting | TEST | Chapter 9 |

8 | Parallel Accelerators | Parallel Accelerators | |

9 | Graph Algorithms I. | Chapter 10 | |

10 | Graph Algorithms II. | Chapter 10 | |

11 | Combinatorial Algorithms | Chapter 11 | |

12 | Dynamic Programming | Chapter 12 | |

13 | Fast Fourier Transform | Chapter 13 |

To get an ungraded assessment the following requirements have to be met:

- obtain at least 25 from 45 points:
- 21 points for homework assignments No. 1 to 3 (7 points per assignment)
- 14 points for semester project
- 10 points for Test
- The test starts at the beginning of the lecture and takes approximately 30 minutes. It focuses on knowledge from the lectures and labs already taught.

To pass the exam it is necessary to get at least 20 points (maximum 45 points) from the written exam. The oral exam is mandatory and gives 10 points at maximum.

Final grading scale:

points | [0,50) | [50,60) | [60,70) | [70,80) | [80,90) | [90,100] |
---|---|---|---|---|---|---|

grade | F | E | D | C | B | A |

For the written and oral exam, you will need a pen and few sheets of paper. The exam tests both the knowledge from lectures and seminars.

[1] Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar: Introduction to Parallel Computing, Second Edition, Addison Wesley, 2003.

[2] Georg Hager, Gerhard Wellein: Introduction to High Performance Computing for Scientists and Engineers, CRC Press, 2011.

[3] James Reinders, Jim Jeffers: Intel Xeon Phi Coprocessor High-Performance Programming, Newnes, 2013.

courses/pag/start.txt · Last modified: 2019/10/14 16:05 by modosist