Luiz Gustavo Fernandes

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Currently, parallel platforms based on large scale hierarchical shared memory multiprocessors with Non-Uniform Memory Access (NUMA) are becoming a trend in scientific High Performance Computing (HPC). Due to their memory access constraints, these platforms require a very careful data distribution. Many solutions were proposed to resolve this issue. However,(More)
In geophysics, the appropriate subdivision of a region into segments is extremely important. ICTM (Interval Categorizer Tesselation Model) is an application that categorizes geographic regions using information extracted from satellite images. The categorization of large regions is a computational intensive problem, what justifies the proposal and(More)
This paper presents a theoretical performance analysis of a parallel implementation of a tool called Performance Evaluation for Parallel Systems (PEPS). This software tool is used to analyze Stochastic Automata Networks (SAN) models. In its sequential version, the execution time becomes impracticable when analyzing large SAN models. A parallel version of(More)
This paper presents the parallelization of a self-verified method for solving dense linear equations. Verified computing provides an interval result that surely contains the correct result. The advent of parallel computing and its impact in the overall performance of various algorithms on numerical analysis have been increasing in the last decade. Two main(More)
High volume print jobs are getting more common due to the growing demand for personalized documents. In this context, Variable Data Printing (VDP) has become a useful tool for marketers who need to customize messages for each customer in promotion materials or marketing campaigns. VDP allows the creation of documents based on a template with variable and(More)
This paper presents a theoretical study to evaluate the performance of a family of parallel implementations of the propagation algorithm. The propagation algorithm is used to an image interpolation application. The theoretical performance analysis is based on the construction of generic models using Stochastic Automata Networks (SAN) formalism to describe(More)