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High Performance Computing Autumn Academy - in person and online, Sep 2022, United Kingdom

Posted By: Samantha Selvini
Date:Thu, 5 May 2022, 11:16 a.m.

United Kingdom, September 5, 2022

A two-week course open to students, academics and
industrialists who want to learn scientific computing
techniques from C++/Fortran programming, to parallelism and
numerical methods used in CFD and Atomistic modelling.



The overall aim of this course is to provide course
attendees with a strong background in programming techniques
suitable for general scientific programming. At the end of
the course they should be able to write a range of simple
algorithms in C++ or Fortran, understand what issues affect
the performance of the code, and be familiar with methods of
utilising multiple CPU cores. They will also have been
introduced to a range of topics suited to high-performance
software development, including command-line Linux, version
control, data structures, and super-computer cluster queuing
systems. Lecturers and demonstrators will be available to
give assistance with the practical work.

There will also be opportunities to attend seminars on a
range of academic and industrial applications of these
techniques and to learn how they are used in practice. The
attendees will also work together on small projects, with
the chance for networking opportunities with their peers and
leaders in HPC fields.

Please see the lecture schedule for more information. The
course will be held in Cambridge, U.K., although there is
also a remote-learning option, which will give access to
live-streamed lectures and all of the course material, but
not access to computing facilities, nor demonstrator

Suitability for the course

The course is suitable for participants with a University
Degree in Natural Sciences, Mathematics, Engineering, or
Computer Science.

Participants should have experience with a modern scientific
programming language, such as Python, Matlab, C++, or
Fortran. For example, they should be able to use this
language to write a function to multiply two matrices (input
from a file or keyboard), without using any of the
language’s built-in matrix-manipulation functionality.
Experience with a command-line based OS, such as Linux or
Mac OS X, would also be helpful.

Note for international applicants: All the course lectures
and tutorials will be in English, therefore a high standard
of fluency in English is required. If English is not your
first language, you may be asked to demonstrate your English
language proficiency—this is usually through the provision
of an English Language test certificate, either IELTS or
TOEFL. For more information visit this link.


Registration for September 2022 is now open.

Applications for a place on the HPC Autumn Academy are on a
first-come-first-served basis. Early registration is
recommended. To apply visit the event page.

Technical Requirements

Linux or Mac OS X operating system (Microsoft Windows will
be supported, but will be more complex to set up)
Internet connection capable of streaming video and sound
(Remote access only)

If you have any questions about these requirements, please
contact Dr Philip Blakely (

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