Pervasive Parallelism

Course Descriptor for formal details.


The Pervasive Parallelism (PP) course has three aims:

In addition to your normal, regular meetings with your supervisors, PP will require you to work together with other members of the class, to prepare and deliver two short presentations. The format of these interactions will be novel: you will research and prepare presentations in your own specialist area, but you will also deliver a presentation prepared by another member of the class. More specifically, for the first presentation, you will deliver the material prepared by one of your classmates, and your material will be delivered by another, different, classmate. The pairings will be changed for the second presentation, so that overall, you will work with four other members of the class. For the second presentation you will deliver your own material, but will work closely with a classmate during its development.


Tuesday meetings are in David Hume Tower room 11.01 and Friday meetings are in Appleton Tower room 2.07. (see Campus Map).

The First Presentation

In discussion with your supervisor, you should select two research papers in your area of specialist interest. You should prepare a 10 minute presentation on these (that's 10 minutes in total, not 10 for each paper), plus 2 minutes for questions. While preparing the presentation, you should meet your 'presenter' (i.e. the person who has been allocated to present your work), to explain and discuss the papers and the presentation you have prepared. Please meet your presenter as early in the process as possible, even before you are sure which papers you will choose. At the same time, you will be preparing to act as presenter for some other classmate.

The presentation should cover

After each presentation session, please e-mail your comments on the presentations you have seen to Murray Cole ( These can include comments on the material itself and on the format and style of the presentation. I will filter, summarise and anonymise the comments and pass them back to the presenter and the originator of the material. Please make sure that your comments are constructive and helpful. The intention is that you help your fellow students to reflect upon and improve their research and presentation skills, in a mutually supportive environment. As noted previously, the presentations are not formally assessed.

The pairings for the first presentation are as follows:

AuthorPresenterPresentation Date
Pablo Andres-Martinez Bruce Collie20th October
Maximiliana Behnke Brian Coyle20th October
Mattia Bradascio Martin Kristien20th October
Bruce Collie Margus Lind24th October
Brian Coyle Aleksandr Maramzin24th October
Martin Kristien Nicolai Oswald24th October
Margus Lind Jack Turner27th October
Aleksandr Maramzin Pablo Andres-Martinez27th October
Nicolai Oswald Maximiliana Behnke27th October
Jack Turner Mattia Bradascio27th October

The Second Presentation

The delivery arrangements are similar to those for the first presentation, i.e. 10 minutes in total, plus 2 minutes for questions, but the material and partnering is different. This time you should prepare a presentation on your own MSc research proposal, as it evolves, which you will present yourself. However, you should work closely with your assistant, including giving at least one dry-run presentation, as you prepare the material.

The presenter-assistant assignments for the second presentation are as follows:

Author/PresenterAssistantPresentation Date
Pablo Andres-Martinez Martin Kristien21st November
Maximiliana Behnke Margus Lind21st November
Mattia Bradascio Aleksandr Maramzin21st November
Bruce Collie Nicolai Oswald24th November
Brian Coyle Jack Turner24th November
Martin Kristien Pablo Andres-Martinez24th November
Margus Lind Maximiliana Behnke28th November
Aleksandr Maramzin Mattia Bradascio 28th November
Nicolai Oswald Bruce Collie 28th November
Jack Turner Brian Coyle 28th November

The presentation should cover

Comments and feedback will be gathered and circulated as for the first presentation. The presentation will take place before the deadline for submission of the proposal. This is to allow you to reflect upon the feedback to your presentations, and improve your proposal as a result.

Your Research Proposal

Your Research Proposal is the plan for your MSc project. The better the plan, the easier the project is to carry out. As you develop the plan, reflect on it and evaluate it against the marking criteria discussed below. The more critical you are now, the easier it will be to get the work done. The research proposal should be about 6 pages long. A good proposal will provide a convincing case for the high quality of the proposed research. It will show an awareness of relevant prior work and include a clear statement of the problems and hypotheses to be addressed and why they are important. It must also make clear exactly how the methods used to research those hypotheses will yield interesting results. There are many ways in which one might structure the material. As a guide, a good proposal might be organised as follows:


Please submit your proposal as a pdf file, using the DICE command

submit perp 1 filename.pdf

where filename.pdf is the name of your file.

Good Scholarly Practice. Please remember the University requirement as regards all assessed work. Details about this can be found under academic misconduct and plagiarism.

Late Submission. Please be aware of the School policy on late coursework submission.

Assessment and Feedback

You will receive two forms of feedback during the course:

Your research proposal will be marked by your supervisor in discussion with your co-supervisors. It will be awarded a mark against the University Common Marking Scheme (CMS4). In coming to a mark, the markers will consider a number of criteria, as follows:

  1. Clear problem or hypothesis: the proposed topic is well-defined in the sense that there is a clear hypothesis to be tested or a particular component to be built with clear characteristics or some other characterisation of what is to be done.
  2. Topic relevant to Pervasive Parallelism: it should be clear that the topic is of interest to the field of Pervasive Parallelism and is not an application that will only have interest in some other field for which realising it only requires routine use of computing.
  3. Motivated and significant: the proposal explains who will benefit from the solution to the problem and in what ways.
  4. Literature review: the proposal is clearly related to a body of work and discusses the important publications in sufficient detail. The proposal gives proper citation for all significant concepts and ideas.
  5. Sound approach: the proposed solution is well-founded and has a reasonable chance of success.
  6. Originality: it is clear which concepts and ideas originate from the student and which are borrowed from the literature and from the discussions with the supervisor.
  7. Understanding of material: the student has a grasp of the scientific/mathematical concepts and of relevant algorithms at a sufficient level for carrying out the project.
  8. Capable of execution: the student has the necessary skills (programming or otherwise) to successfully complete the project in the allocated timeframe.
  9. Well-defined tasks and deliverables: each of the tasks in the plan is well defined with clear inputs and deliverables with a clear role to plan in delivering the final dissertation. The decomposition of the proposed problem/issue into subtasks is sound in the sense that it constitutes a plan that has a high chance of succeeding and producing deliverables that can be combined to support a passable MSc dissertation. It is also clear that there are no missing tasks - ensure adequate planning for writing up. Clear milestones are identified for each task.
  10. Project is feasible: the proposed work fits into the timescale for the dissertation. It is neither too big nor too small for the available time.
  11. Resources are attainable: the sources for any required equipment, funding and human effort are identified. It should be clear that the student will be capable of providing the necessary human effort.
  12. Evaluation: The proposal contains a concrete plan for evaluating the proposed work, including description of appropriate benchmark datasets, evaluation measures, gold-standard judgements and baselines to compare against.

Miscellaneous Resources

Here are some documents which may help you to formulate, write and present your proposal. They have been collected from various sources. Many of them are from the "Informatics Research Proposal" and "Informatics Research Review" courses taken by our regular MSc students, so do not be confused by references to submission dates or other requirements for these courses. The requirements for our course are clearly stated above.

More generally, browse the IRR and IRP wiki, which contains many more links to useful sources of advice, examples of good and bad proposals, and so on. Ignore all references to tutor groups, submissions or other procedural details! These do not apply to PPar students. Instead, you should be discussing your proposal directly with your supervisor as it evolves.

Murray Cole, Informatics Forum room 1.18, ext. 505154

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