The course consists of an introduction to advanced methods of parallel programming of the state-of-the-art HPC architectures. Distributed memory programming methods, multi-core shared memory, or PGAS programming model will be described. Further, students will be introduced to the field of HPC accelerators (Nvidia GPU and Intel Xeon Phi).
Parallel Programming
| Type of study | Doctoral |
|---|---|
| Language of instruction | Czech |
| Code | 9600-0002/01 |
| Abbreviation | PPR |
| Course title | Parallel Programming |
| Credits | 10 |
| Coordinating department | IT4Innovations |
| Course coordinator | prof. Ing. Tomáš Kozubek, Ph.D. |
Subject syllabus
Literature
1. Michael McCool (Author), James Reinders (Author), Arch Robison (Author), Structured Parallel Programming: Patterns for Efficient Computation Paperback – June 25, 2012
2. http://mpi-forum.org, MPI: A Message-Passing Interface Standard
3. http://openmp.org, OpenMP Application Program Interface
4. UPC: Distributed Shared Memory Programming, Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick. John Wiley, 2005.
5. High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches Paperback – November 17, 2014 by James Reinders (Author), James Jeffers (Author)
2. http://mpi-forum.org, MPI: A Message-Passing Interface Standard
3. http://openmp.org, OpenMP Application Program Interface
4. UPC: Distributed Shared Memory Programming, Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick. John Wiley, 2005.
5. High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches Paperback – November 17, 2014 by James Reinders (Author), James Jeffers (Author)
Advised literature
Internet sources describing selected implementations of discoursed standards