A Canonical Implementation Of The Advanced Encryption Standard On The Graphics Processing Unit
- Pilkington, Nick, Irwin, Barry V W
- Authors: Pilkington, Nick , Irwin, Barry V W
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/430007 , vital:72659 , https://digifors.cs.up.ac.za/issa/2008/Proceedings/Research/47.pdf
- Description: This paper will present an implementation of the Advanced Encryption Standard (AES) on the graphics processing unit (GPU). It investigates the ease of implementation from first principles and the difficulties encountered. It also presents a performance analysis to evaluate if the GPU is a viable option for a cryptographics platform. The AES implementation is found to yield orders of maginitude increased performance when compared to CPU based implementations. Although the implementation introduces complica-tions, these are quickly becoming mitigated by the growing accessibility pro-vided by general programming on graphics processing units (GPGPU) frameworks like NVIDIA’s Compute Uniform Device Architechture (CUDA) and AMD/ATI’s Close to Metal (CTM).
- Full Text:
- Date Issued: 2008
- Authors: Pilkington, Nick , Irwin, Barry V W
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/430007 , vital:72659 , https://digifors.cs.up.ac.za/issa/2008/Proceedings/Research/47.pdf
- Description: This paper will present an implementation of the Advanced Encryption Standard (AES) on the graphics processing unit (GPU). It investigates the ease of implementation from first principles and the difficulties encountered. It also presents a performance analysis to evaluate if the GPU is a viable option for a cryptographics platform. The AES implementation is found to yield orders of maginitude increased performance when compared to CPU based implementations. Although the implementation introduces complica-tions, these are quickly becoming mitigated by the growing accessibility pro-vided by general programming on graphics processing units (GPGPU) frameworks like NVIDIA’s Compute Uniform Device Architechture (CUDA) and AMD/ATI’s Close to Metal (CTM).
- Full Text:
- Date Issued: 2008
An Investigation into the Performance of General Sorting on Graphics Processing Units
- Pilkington, Nick, Irwin, Barry V W
- Authors: Pilkington, Nick , Irwin, Barry V W
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429881 , vital:72648 , https://doi.org/10.1007/978-1-4020-8741-7_65
- Description: Sorting is a fundamental operation in computing and there is a constant need to push the boundaries of performance with different sorting algo-rithms. With the advent of the programmable graphics pipeline, the par-allel nature of graphics processing units has been exposed allowing programmers to take advantage of it. By transforming the way that data is represented and operated on parallel sorting algorithms can be im-plemented on graphics processing units where previously only graphics processing could be performed. This paradigm of programming exhibits potentially large speedups for algorithms.
- Full Text:
- Date Issued: 2008
- Authors: Pilkington, Nick , Irwin, Barry V W
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429881 , vital:72648 , https://doi.org/10.1007/978-1-4020-8741-7_65
- Description: Sorting is a fundamental operation in computing and there is a constant need to push the boundaries of performance with different sorting algo-rithms. With the advent of the programmable graphics pipeline, the par-allel nature of graphics processing units has been exposed allowing programmers to take advantage of it. By transforming the way that data is represented and operated on parallel sorting algorithms can be im-plemented on graphics processing units where previously only graphics processing could be performed. This paradigm of programming exhibits potentially large speedups for algorithms.
- Full Text:
- Date Issued: 2008
High level internet scale traffic visualization using hilbert curve mapping
- Irwin, Barry V W, Pilkington, Nick
- Authors: Irwin, Barry V W , Pilkington, Nick
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429911 , vital:72650 , https://doi.org/10.1007/978-3-540-78243-8_10
- Description: A high level analysis tool was developed for aiding in the analysis of large volumes of network telescope traffic, and in particular the comparisons of data col-lected from multiple telescope sources. Providing a visual means for the evaluation of worm propagation algorithms has also been achieved. By using a Hilbert curve as a means of ordering points within the visual-ization space, the concept of nearness between nu-merically sequential network blocks was preserved. The design premise and initial results obtained using the tool developed are discussed, and a number of fu-ture extensions proposed.
- Full Text:
- Date Issued: 2008
- Authors: Irwin, Barry V W , Pilkington, Nick
- Date: 2008
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429911 , vital:72650 , https://doi.org/10.1007/978-3-540-78243-8_10
- Description: A high level analysis tool was developed for aiding in the analysis of large volumes of network telescope traffic, and in particular the comparisons of data col-lected from multiple telescope sources. Providing a visual means for the evaluation of worm propagation algorithms has also been achieved. By using a Hilbert curve as a means of ordering points within the visual-ization space, the concept of nearness between nu-merically sequential network blocks was preserved. The design premise and initial results obtained using the tool developed are discussed, and a number of fu-ture extensions proposed.
- Full Text:
- Date Issued: 2008
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