Postgraduate Course: Parallel Programming Languages (PGPH11072)

Course Outline
School	School of Physics and Astronomy	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	10	ECTS Credits	5
Summary	This course will cover a range of programming techniques which are important for scientific applications on parallel computers. Key paradigms will include PGAS languages and accelerator programming. The course will include the following topics: - Modern Fortran including Co-Array Fortran - Concepts of PGAS programming - Other PGAS approaches such as SHMEM and Unified Parallel C - Programming Graphics Processing Units (GPUs) The focus on these topics will be their practical use to solve problems and all topics will have associated tutored practical exercises.
Course description	Not entered

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2017/18, Not available to visiting students (SS1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 11, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 63 )
Additional Information (Learning and Teaching)	Please contact the School for further information
Assessment (Further Info)	Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment)	100% examination consisting of a two hour exam
Feedback	Not entered
Exam Information
Exam Diet	Paper Name		Hours & Minutes
Main Exam Diet S1 (December)			2:00

Learning Outcomes
On completion of this course, the student will be able to: demonstrate understanding of modern Fortran, including Co-Array Fortran. understand the concepts of PGAS languages. solve problems using PGAS programmes. understand approaches to accelerator programming. write programs which use Graphics Processing Units (GPUs).