COMP52315: Performance Modelling, Vectorisation and GPU Programming

• PHYS52015 Introduction to Scientific and High Performance Computing

• None

• n/a

• Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods of program performance analysis, modelling and engineering
• Provide advanced knowledge and critical understanding of low-level code optimisation paradigms, and how they may be applied in real-world scenarios

• Performance modelling and engineering
• Vectorisation and low-level code optimisation
• GPU programming

Subject-specific Knowledge:

• By the end of this module, students should have:
• an understanding and critical reflection of advanced ideas and techniques behind the performance analysis of scientific computing and data analysis codes
• an understanding of modern computer architectures, and how to design and implement codes to perform optimally on this hardware

Subject-specific Skills:

• By the end of this module, student should:
• have basic familiarity with state-of-the-art algorithms to solve large-scale and data intense challenges
• be able to make competent and educated selection and statements on potential performance of specific codes plus skills to improve existing solutions

Key Skills:

• Familiarity with advanced paradigms and modern algorithms underlying scientific computing for discrete systems, and their analysis
• Familiarity with programming paradigms for modern wide-vector CPUs, and GPUs

• Teaching will be by computer classes.
• The computer classes will provide the means to give a concise, focused presentation of the subject matter of the module and where appropriate, will also be supported by the distribution of written material, or by information and relevant links on Ultra.
• Students will also be given the chance to develop their theoretical understanding and problem solving skills through regular problem exercises delivered within the module teaching sessions.
• Students will be able to obtain further help in their studies by approaching their lecturers, either after teaching sessions or at other mutually convenient times.
• Student performance will be summatively assessed through coursework. The assignment consists of a coding exercise with accompanying report.
• The formative exercises provide opportunities for feedback, for students to gauge their progress and for staff to monitor progress throughout the duration of the module.

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