40% of course
|This coursework should take an average student who is up-to-date with tutorial
approximately 20 hours
Feedback and grades are normally made available within 15 working days of the
Characterise and critically evaluate high performance computing based
architectures and their suitability for given applications.
Implement and execute applications using shared and distributed memory
Describe and critically discuss the roles and applications of cloud and grid
Plagiarism is presenting somebody else’s work as your own. It includes:
copying information directly from the Web or books without referencing the
material; submitting joint coursework as an individual effort; copying another
student’s coursework; stealing coursework from another student and
submitting it as your own work. Suspected plagiarism will be investigated and
if found to have occurred will be dealt with according to the procedures set
down by the University. Please see your student handbook for further details
of what is / isn’t plagiarism.
All material copied or amended from any source (e.g. internet, books) must be
referenced correctly according to the reference style you are using.
Your work will be submitted for plagiarism checking. Any attempt to bypass our
plagiarism detection systems will be treated as a severe Assessment Offence.
Coursework Submission Requirements
• An electronic copy of your work for this coursework must be fully uploaded by 23:30
on the Deadline Date of Wednesday 01/12/2021 using the link on the coursework
Moodle page for COMP1680.
• For this coursework you must submit a single PDF document. In general, any text
in the document must not be an image (i.e. must not be scanned) and would
normally be generated from other documents (e.g. MS Office using “Save As ..
PDF”). An exception to this is hand written mathematical notation, but when
scanning do ensure the file size is not excessive.
• There are limits on the file size (see the relevant course Moodle page).
• Make sure that any files you upload are virus-free and not protected by a password
or corrupted otherwise they will be treated as null submissions.
• Your work will not be printed in colour. Please ensure that any pages with colour
are acceptable when printed in Black and White.
• You must NOT submit a paper copy of this coursework.
• All courseworks must be submitted as above. Under no circumstances can they be
accepted by academic staff
The University website has details of the current Coursework Regulations, including
details of penalties for late submission, procedures for Extenuating Circumstances,
and penalties for Assessment Offences. See http://www2.gre.ac.uk/currentstudents/regs
This Coursework is to be completed individually
Parallel processing using cloud computing
The company you work for is looking at investing in a new system for running parallel
code, both MPI and OpenMP. They are considering either using a cloud computing
platform or purchasing their own HPC equipment. You are required to write a short
report analyzing the different platforms and detailing your recommendations. The
report will go to both the Head of IT and the Head of Finance and so the report
should be aimed at a non-specialist audience. Assume the company is a medium
sized consultancy with around 50 consultants, who will likely utilize an average of
800 CPU hours each a month. Your report should include:
1) A definition of cloud computing and how it can be beneficial.
2) An analysis of the advantages and disadvantages of the different commercial
platforms over a traditional HPC.
3) A cost analysis, assume any on site HPC will likely need dedicated IT support
4) Your recommendations to the company.
A 2500-3000 word report uploaded to Moodle in PDF format. Do not copy and paste
large sections from the internet, you will get no marks. Properly referenced
quotations will not be penalized.
Marks will be awarded based on the following criteria:
20%: Description of cloud computing
30%: Your analysis of the different platforms Vs HPC
10%: Cost analysis
20%: Your recommendations
10%: Report Layout
To achieve a pass mark it is expected that an outline solution will be provided in
which at least a basic attempt is evident with some progress.
To achieve a mark in the merit range it is expected that a good solution is provided in
which there is clear evidence of progress and understanding.
To achieve a distinction mark it is expected that high quality solutions and reports
are provided in which there is clear evidence of competence in practical, theoretical
and presentation skills.
|Marks will be distributed as follows:|
|0-49||A substandard submission that contains little understanding of the
subject and no critical appraisal.
|50-59||A submission that demonstrates a reasonable understanding of cloud
computing and big data. Please note that 50% is the pass mark for
level 7 courses
|60-69||A good submission that includes a good understanding of the cloud
computing and its uses in big data
|70+||A very good submission that clearly demonstrates a very good
understanding and the comparison between different techniques.
|80+||An excellent submission that demonstrates a clear understanding of
cloud computing and big data. Clear evidence of critical research and
If you are unsure about any of these instructions, then please email your tutor
or make an appointment to see your tutor as soon as possible.
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