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This article presents a performance analysis of the symmetric encryption algorithm AES (Advanced Encryption Standard) on a machine with one GPU and a cluster of GPUs, for cases in which the memory required by the algorithm is more than that of a GPU. Two implementations were carried out, based on C language, that use the tool CUDA in the case of a single… (More)

- V. Sanz, A. De Giusti, F. Chichizola, M. Naiouf, L. De Giusti
- ITI 2008 - 30th International Conference on…
- 2008

An analysis of a parallel solution of N<sup>2</sup>-1 puzzle using clusters, is presented. This problem is interesting due to its complexity and related applications, particularly in the field of robotics. A variation of classic heuristics for forecasting the work to be done in order to reach a solution is analyzed, and it is shown that its use… (More)

- Victoria Sanz, Armando De Giusti, Marcelo R. Naiouf
- ICA3PP
- 2017

An analysis of a parallel solution of N-1 Puzzle using clusters, is presented. This problem is interesting due to its complexity and related applications, particularly in the field of robotics. A variation of classic heuristics for forecasting the work to be done in order to reach a solution is analyzed, and it is shown that its use significantly improves… (More)

In this paper, a performance analysis of a matrix diagonalization algorithm with Jacobi method on a multicore architecture is presented. For this, a block-based sequential algorithm was implemented using the CBLAS library, which improves classic sequential algorithms, and then an algorithm for the parallel resolution of the problem with the shared memory… (More)

- Victoria Sanz, Armando De Giusti, Marcelo R. Naiouf
- ICA3PP
- 2016

Discrete optimization problems are interesting due to their complexity and applications, particularly in robotics. In this paper, a parallel algorithm that allows finding solutions to these problems, is presented. Then, the modifications that can be applied to it to obtain a second parallel algorithm that finds suboptimal solutions, reducing computation… (More)

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