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ACM40640

Academic Year 2024/2025

High Performance Computing (ICHEC) (ACM40640)

Subject:
Applied & Computational Maths
College:
Science
School:
Mathematics & Statistics
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Assoc Professor Barry Wardell
Trimester:
Spring
Mode of Delivery:
Online
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This course introduces key topics in high performance computing (HPC), including parallel programming. Prior programming experience in C/Fortran, as well as basic knowledge of UNIX/Linux shell is expected.

About this Module

Learning Outcomes:

On successful completion of this module, students should be able to:
• Understand key HPC concepts and how they are applied in scientific research.
• Devise parallel strategies to solve computational problems.
• Develop basic parallel applications using OpenMP and/or MPI.

Indicative Module Content:

• Introduction to HPC and HPC Architectures
• Parallel Performance and Parallel Programming Models
• Introduction to OpenMP
• OpenMP Parallelisation Constructs and Performance
• OpenMP versions after 2.5
• Introduction to MPI
• MPI Point to Point and Non-Blocking Communication
• MPI Collective Communication
• MPI Communicators and Virtual Topologies
• MPI Derived Datatypes

Student Effort Hours:
Student Effort Type Hours
Tutorial

12
Autonomous Student Learning

76
Online Learning

12
Total

100

Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered

Not yet recorded.

Carry forward of passed components
No
 

Resit In Terminal Exam
Summer No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr Kevin Cunningham Tutor
Buket Gursoy Tutor
Mr Jake Williams Tutor
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