Postgraduate Course: Performance Programming (INFR11167)
|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||Performance is key for both efficient use of computing hardware and ensuring applications (be they computational simulation, machine learning, databases, etc...) complete their tasks in an acceptable amount of time. However this is one of the more difficult requirements to satisfy:
- Issues effecting performance often vary between different hardware and software environments. This requires performance issues to be frequently re-visited as the hardware and software environment changes.
- Performance programming requires detailed knowledge of the underlying environment
- The design decisions necessary to achieve good performance are often in conflict with other desirable properties of the program.
After taking this course students should have a good practical understanding of the general issues and methodologies associated with designing building and refactoring codes to meet performance requirements. In addition they will have an overview of a number of subjects that are important in the understanding of performance on current systems.
The course will cover the following topics:
- Overview of performance programming. Methodology, the optimisation cycle.
- Designing for performance. Encapsulation as an aid to performance tuning.
- Tools for performance programming. Profilers and code instrumentation.
- Compilers and compiler optimisation.
- Memory hierarchies, Memory structures and associated optimisations.
- Performance tuning for shared memory.
- Floating point performance. Pipelines, SIMD, vectorisation.
Entry Requirements (not applicable to Visiting Students)
|| It is RECOMMENDED that students have passed
HPC Architectures (INFR11175)
||Other requirements|| It is strongly RECOMMENDED that students have passed HPC Architectures. Students are required to be familiar with C/C++ or Fortran for practical exercises and in-class examples.
Information for Visiting Students
|Pre-requisites||Students are required to be familiar with C/C++ or Fortran for practical exercises and in-class examples. It is strongly RECOMMENDED that students have passed HPC Architectures or an equivalent course.
|High Demand Course?
Course Delivery Information
|Academic year 2021/22, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 16,
Seminar/Tutorial Hours 7,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||100% Coursework split into two assignments (25%, 75%)
||Provided via the practical classes and on assessed work in preparation for next hand-in.
|No Exam Information
On completion of this course, the student will be able to:
- Understand the appropriate methodology when attempting to improve code performance.
- Understand how performance is achieved via hardware, compilers and operating systems.
- Appreciate the limitations of systems and recognise when these will have a serious impact.
- Interpret the observed performance of code in terms of how its execution is realised on the system.
- Identify code regions appropriate for manual optimisation and propose, implement and evaluate optimisations on these regions.
|Provided via Learn|
|Graduate Attributes and Skills
Solution Exploration and Evaluation
Communication of technical information via written report
||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.
|Additional Class Delivery Information
||Generally 2 lectures per week (Weeks 1-8), 1 tutorial per week (Weeks 2-8). Further optional tutorials to assist with coursework preparation may be provided during weeks 9-11.
|Course organiser||Mr William Jackson
|Course secretary||Miss Jemma Auns
Tel: (0131 6)51 3545