9600-1007 – Parallel Programming I (PP1)
| Gurantor department | IT4Innovations |
| Subject guarantor | Mgr. Branislav Jansík, Ph.D. |
| Study level | undergraduate or graduate |
Subject aims expressed by acquired skills and competences
Upon the successful completion of the course, students will be able to:
Analyze an algorithm and design suitable decomposition for its parallelization
Analyze efficiency of the partitioning design
Implement and optimize an algorithm using the instruction-level parallelism, combined computational power of many cores (multi-core (CPU) and many-core (MIC)), OpenMP directives, and combined computational power of many computational nodes through MPI inter-process communication.
Teaching methods
Lectures
Tutorials
Project work
Summary
Compulsory 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
Recommended literature:
1. http://software.intel.com, Optimization and Performance Tuning for Intel® Xeon Phi™ Coprocessors – Part 1: Optimization Essentials
2. Intel® 64 and IA-32 Architectures Optimization Reference Manual
3. High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches Paperback – November 17, 2014 by James Reinders (Author), James Jeffers (Author)
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.