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CFD Events Calendar, Event Record #30059

High Performance Computing Autumn Academy
The overall aim of this course is to provide course attendees with a strong background in programming techniques suitable for general scientific programming and high-performance computing (HPC).
Date: September 6, 2021 - September 17, 2021
Contact Email:
Organizer: Centre for Scientific Computing
Deadlines: July 16, 2021 (registration)
Type of Event: Online Event, International

High Performance Computing Autumn Academy 2021 - Online 
Dates: 6th – 17th September 2021
Aim: To teach scientific computing techniques from 
C++/Fortran programming, to parallelism and numerical 
methods used in CFD and Atomistic modelling.

Location: Remotely hosted by Centre for Scientific 
Computing, University of Cambridge, U.K.

Contact details:

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.

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 remotely, with joining instructions 
circulated to attendees.

Although best experienced as a full two week course, it 
is possible to register for access to the lectures and 
related material only at a reduced rate.

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.

Applications for a place on the HPC Autumn Academy are on 
a first-come-first-served basis. Early registration is 

The Registration fee covers access to the online course 
materials, interactive teaching, access to computing 
facilities, and assistance from demonstrators.

With the Lecture-access only option, you will only be 
able to attend the lectures, and will have to attempt 
practicals in your own time on your own resources.

Registration fee:	£990
Academic Researcher:	£500
Student:	        £350
Lecture-access only:	£350

In order to book a place, please use the University 
Online Sales Platform:

Booking deadline: Friday 16th July.


A limited number of bursaries are available to full-time 
University students to reduce the registration fee. In 
order to be considered for these, please contact and include a C.V. The 
deadline to be considered for a bursary is Friday 25th 
June 2021. You will be contacted by Friday 9th July to 
confirm whether or not your application has been 

A further number of bursaries are available to Greek 
participants as part of the Gianna Angelopoulos Programme 
for Science, Technology and Innovation (GAPSTI). For more 
information please visit the GAPSTI website:

Technical Requirements
As the course will be held remotely, please note the 
following technical requirements:

Internet connection capable of streaming video.
Microphone and web-cam strongly recommended (for 
interaction with teaching staff)
Linux or Mac OS X operating system (Microsoft Windows 
will be supported, but will be more complex to set up)
Details of how to join the lectures and teaching sessions 
remotely will be sent to registered participants before 
the course begins.

If you have any questions about these requirements, 
please contact Dr Philip Blakely (
Event record first posted on May 18, 2021, last modified on May 23, 2021

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