Postgraduate Course: Threaded Programming (INFR11178)
|School||School of Informatics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||This course is a practical introduction to parallel programming using the threading model, which is commonly used on shared memory and multicore hardware. The majority of the course is focused on teaching the use of the industry standard OpenMP API.
After taking this course students should have a good practical understanding of multithreaded programming and be competent OpenMP programmers.
The course will cover the following topics:
- Basic concepts of shared memory: threads, tasks, shared/private data, synchronisation.
- Concepts of OpenMP: parallel regions, shared/private variables, parallel loops, reductions
- OpenMP parallel regions and associated clauses
- OpenMP worksharing directives, scheduling of parallel loops
- OpenMP synchronisation: barriers, critical sections, atomics, locks.
- OpenMP tasks
- Additional features of OpenMP: nesting, orphaning, threadprivate globals, OpenMP 4.0 features
- OpenMP implementations
- Memory models.
Lectures will be followed by tutored practical sessions illustrating the key concepts. Students will have the choice of using either C or Fortran in the practical programming sessions on OpenMP.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| Students are required to be familiar with C or Fortran for practical exercises.
There are limited spaces on this course. Students not on the MSc in High Performance Computing or MSc High Performance Computing with Data Science should contact the course secretary to confirm availability and confirm that they have the required prerequisites before being enrolled on the course.
Information for Visiting Students
|Pre-requisites||Students are required to be familiar with C or Fortran for practical exercises.
|High Demand Course?
Course Delivery Information
|Academic year 2020/21, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 14,
Supervised Practical/Workshop/Studio Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||100% Coursework, split into three assignments (10%, 30%, 60%).
||Students receive detailed individual text-based feedback on all components of the coursework. The coursework is split into three parts, with feedback given on assignments 1 and 2 before the deadline for assignment 3 so that students may take this into account (assignments 1 and 2 are independent of one another). Students may contact the course co-ordinator to discuss the feedback further in person if required.
Feedback is also provided through the practical classes.
|No Exam Information
On completion of this course, the student will be able to:
- Understand the key concepts of multithreaded programming
- Have a knowledge of the syntax and semantics of the OpenMP API.
- Be able to write a correct OpenMP program in C/C++ or Fortran.
- Have an appreciation of the advanced features of OpenMP
- Understand key factors affecting performance of threaded programs
Further resources provided via Learn course.
|Graduate Attributes and Skills
||Effective written and diagrammatic communication.
Data collection and analysis.
Reflection on learning and practice.
Adaptation to circumstances.
Solution Exploration, Evaluation and Prioritisation.
||There are limited spaces on this course. Students not on the MSc in High Performance Computing or MSc High Performance Computing with Data Science should contact the course secretary to confirm availability and confirm that they have the required prerequisites before being enrolled on the course.
The course is available to PhD students for class-only study. PhD students requiring a form of assessment must contact the course secretary to confirm method of enrolment.
|Additional Class Delivery Information
||Two lectures per week (weeks 1-7), one practical per week (weeks 1-11).
|Keywords||OpenMP,Threads,TP,EPCC,HPC,High Performance Computing,Parallel,Programming,Parallelism
|Course organiser||Dr Mark Bull
Tel: (0131 6)50 6717
|Course secretary||Miss Jemma Auns
Tel: (0131 6)51 3545