9600-1013/01 – Advanced Parallel Programming (PPP)

Gurantor department	IT4Innovations	Credits	4
Subject guarantor	doc. Ing. Lubomír Říha, Ph.D.	Subject version guarantor	doc. Ing. Lubomír Říha, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	2	Semester	summer
		Study language	Czech
Year of introduction	2016/2017	Year of cancellation
Intended for the faculties	USP	Intended for study types	Follow-up Master

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
RIH0042	doc. Ing. Lubomír Říha, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Graded credit	2+2

Subject aims expressed by acquired skills and competences

Upon the successful completion of the subject students will be able to actively use new methods in the field of parallel programming.

Teaching methods

Lectures
Tutorials

Summary

The aim of the course is to introduce students to programming GPU and MIC accelerators, which are currently the most frequently used ones in the field of HPC. The second part of the course will be dedicated to PGAS programming languages.

Compulsory literature:

1. Mainly online resources and tutorials 2. Intel Xeon Phi Coprocessor High Performance Programming, James Reinders and Jim Jeffers 3. UPC: Distributed Shared Memory Programming, Tarek El-Ghazawi, William Carlson, Thomas Sterling, Katherine Yelick. John Wiley, 2005.

Recommended literature:

online resources and tutorials

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Knowledge of programming languages C and C++.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1) Introduction to the Architecture of GPU and MIC Accelerators 2) Programming of GPU Accelerators a) using CUDA (using OpenACC) 3) Programming of Intel Xeon Phi Accelerators a) using OpenMP and Specific Directives of Intel Compiler b) using Cilk+ 4) Programming using PGAS (Partitioned Global Address Space) programming model a) Unified Parallel C (UPC) b) GASPI, Chapel, Coarray Fortran

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic year	Programme	Branch/spec.	Form	Study language	Tut. centre	Year	Type of duty
2018/2019	(N2658) Computational Sciences	(2612T078) Computational Sciences	P	Czech	Ostrava	2	Compulsory	study plan
2017/2018	(N2658) Computational Sciences	(2612T078) Computational Sciences	P	Czech	Ostrava	2	Compulsory	study plan
2016/2017	(N2658) Computational Sciences	(2612T078) Computational Sciences	P	Czech	Ostrava	2	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.