Roy Bakker's Homepage at the University of Amsterdam

Me in front of the Tiled panel Display, showing a brain with a fire lookup table.

Contact Information

Computer Systems Architecture Group
Informatics Institute
Faculty of Science
University of Amsterdam

Room C3.101
Sciencepark 904
1098 XH Amsterdam
The Netherlands

Email: R (dot) Bakker (at) uva (dot) nl

Personal homepage: www.roybakker.nl

Agenda: see here


Personal Information

Born: Den Helder, february 2nd 1987
Education:
2008-2011 - MSc in Grid Computing (track Computer Science) - University of Amsterdam - Amsterdam
2005-2008 - BSc in Computer Science (Informatica) - University of Amsterdam - Amsterdam
1999-2005 - VWO - OSG De Hogeberg - Den Burg Texel

Teaching

Info for students at UvA FWNI who wants to use Linux machines can be found on this page (in Dutch).

Information about the practical assignments for courses in wich I am involved can be found at:


Other projects and involvements


Publications


Master thesis "Exploring the Intel Single-chip Cloud Computer and its possibilities for SVP"

Abstract
Current multi-core processor architectures face several scalability issues. The Single-Chip Cloud Computer (SCC) is an experimental 48-core processor created by Intel Labs for the Many-Core applications research community. The architecture combines several new design approaches that should allow for a better scalability of many-core systems. The SCC features relatively simple but fully functional general purpose cores on a scalable on-chip mesh network with large bandwidth. The University of Amsterdam was selected to receive one of the prototype boards for use in their research on many-core programming methods.

In this thesis we explore the properties, possibilities and pitfalls of this new architecture. Based on these results we propose and make modifications to an implementation of the SVP concurrency model developed at the University of Amsterdam. SVP is an abstract concurrent programming model that is applicable to multiple levels of granularity and is communication deadlock free under the assumption of sufficient resources.

The Intel MARC community.

View the complete pdf version here.

Supervised by Chris Jesshope and Michiel van Tol.


Bachelor thesis "Visualization of Medical Image Data on a Tiled Panel Display"

Abstract
Over the last decades, medical imaging techniques have become better, faster and more detailed. As a result, more and more data is produced that needs to be analyzed by diagnostic clinicians and researchers. In some cases, conventional visual inspection on computer displays is impossible due to the sheer number of images. In this work a solution is presented to visualize large numbers of medical images on a high resolution display device, a so-called Tiled Panel Display. A use case, based on an fMRI computer study performed at the AMC, generating a large number of images is used to test our solution. A neuro psychologist visited us to inspect the results and provide feedback on the application.

View the complete pdf version here, and you may download the sourcecode for my program here.

Supervised by Robert Belleman and Silvia Olabarriaga.

For more information about the fMRI research, see the Virtual Lab for functional MRI.


© Roy Bakker - Universiteit van Amsterdam

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