ACM40640

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
• Introduction to MPI

Additional topics may include:
Introduction to High-Performance python

The United Nations identified seventeen Sustainable Development Goals (SDGs) as core to the 2030 Agenda for Sustainable Development, and UCD contributes in general to SDG 4 Quality Education. Further SDGs explored within this module if relevant are listed below. A scale of 1 - 5 indicates the extent to which the SDG is covered.


 

Student Effort Hours:

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

As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.

 

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.