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Offloading an encrypted user space file system on Graphical Processing Units

Eimot, Magne
Master thesis
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Eimot.pdf (2.152Mb)
Year
2009
Permanent link
http://urn.nb.no/URN:NBN:no-22652

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  • Institutt for informatikk [3603]
Abstract
Modern computers often have a powerful graphics processing unit (GPU), either on

dedicated graphic cards or integrated on the motherboard. These units can used by

applications for demanding computation. Another use of this technology is to assist

the main CPU in the system, offloading some of its work. Offloading can give increased

performance, as well as decreased load on the main CPU. Decreasing the load frees

resources for other applications.

Keeping documents, images and other potentially sensitive files private is important

for many users. One way to do this is to use an encrypted file system, which can pre-

vent others from gaining unauthorized access. However, such a file system occupies

resources in the computer system. In this thesis, we evaluate how GPUs can be used for

assisting the computationally expensive encryption part of an encrypted file system.

Programming GPUs, is challenging because of the GPUs massively parallel nature and

their many memory types. We will look into different architectures, focusing mainly

on NVIDIAs architecture and programming framework in our work on evaluating the

effects of using graphic processing units for offloading an encrypted file system. In

this thesis, we see that offloading parts of this file system is beneficial, giving better

performance and reduced CPU load.
 
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