Online course in Science, Engineering & Maths

High Performance Computing in the Cloud

Understand the benefits and challenges of using cloud computing for high performance computing (HPC) workloads.

High Performance Computing in the Cloud

  • Duration 6 weeks
  • Weekly study 6 hours

Understand high performance computing (HPC) in the cloud

This online course provides an advanced, graduate-level introduction to using cloud computing for high performance computing (HPC) workloads.

The course will cover a wide range of topics from cloud architecture and infrastructure supporting HPC to the business opportunities that are enabled by HPC in the cloud.

What topics will you cover?

The following topics will be covered in the course:

  • Virtualization and Containerization
  • Parallel Computing Frameworks
  • Scaling
  • HPC in the Cloud Use Cases
  • Cloud Service Orchestration and Resource Scheduling
  • Cloud Infrastructure for Supporting Heterogeneous Resources
  • CloudLightning Approach: Architecture Overview
  • Resource Management in CloudLightning

When would you like to start?

  • Date to be announced
Add to Wishlist to be emailed when new dates are announced

What will you achieve?

By the end of the course, you'll be able to...

  • the range of activities associated with High Performance Computing and with Cloud Computing
  • the differences in ethos between HPC and Cloud
  • how the HPC and Cloud design spaces can be merged
  • the challenges of supporting high performance hardware in the cloud
  • on how the cloud is evolving to become heterogeneous
  • the challenges associated with Resource Management at scale
  • various techniques for Service Orchestration in the cloud
  • on the advantages of using self-organization for Resource Management at scale
  • on how successfully HPC workloads are being supported in the cloud

Who is the course for?

The course is aimed at students with experience and knowledge of high performance computing. You may have already completed the Supercomputing course on FutureLearn.

Who will you learn with?

John Morrison

John Morrison

Prof Morrison is the Director of the Centre for Unified Computing at UCC, Ireland and the coordinator of the H2020 project, CloudLightning: Self-organizing, self-managing Heterogeneous Cloud.

Theo Lynn

Theo Lynn

Theo Lynn is Professor of Digital Business at DCU Business School and PI of the Irish Centre for Cloud Computing and Commerce. He is also a PI on the EU Horizon 2020 RECAP and CloudLightning projects.

Anne C. Elster

Anne C. Elster

Anne C. Elster is a Professor of Computer Science at NTNU in Trondheim, Norway where she established HPC-Lab. She is also a current Visiting Scientist at the Univ. of Texas at Austin (ICES).

Konstantinos Giannoutakis

Konstantinos Giannoutakis

Dr. Giannoutakis is a Research Associate at ITI/CERTH. His research interests include HPC, scientific computing, parallel systems, grid/cloud computing and software engineering techniques.

George Gravvanis

George Gravvanis

I am a Professor with the Department of Electrical and Computer Engineering of Democritus University of Thrace. My research interests are computational methods and applied mathematics.

Dana Petcu

Dana Petcu

Professor at Computer Science Department of West University of Timisoara, scientific manager of its supercomputing center, and researcher at Institute e-Austria Timisoara.

Who developed the course?

Dublin City University is a young, dynamic and ambitious Irish university with a distinctive mission to transform lives and societies through education, research and innovation.

CloudLightning is a three-year €4M research project to address energy efficiency and high performance in cloud computing. It is funded by the European Commission’s Horizon 2020 programme.

UCC is an award-winning institution with a history of independent thinking stretching back over 170 years. UCC is proud to be ranked in the top 2% of universities in the world.