Avaliação de sistemas de computação massivamente paralela e distribuída : uma metodologia voltada aos requisitos das aplicações científicas

• Autor(a) principal: Ferro, Mariza
• Data de Publicação: 2015
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do LNCC
• Texto Completo: https://tede.lncc.br/handle/tede/219
• topic: Redes e sistemas distribuidos; Computação científica; Análise operacional; Distributed networks and systems; Scientific computing; Operational analyse; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO::ARQUITETURA DE SISTEMAS DE COMPUTACAO

High Performance Distributed Computing is essential to improve scientific progress in many areas of science and to efficiently deploy a number of complex scientific applications. These applications have different characteristics that require distinct computational resources too. However, it is very difficult for many research groups to evaluate these HPDC infrastructures and arrive at the best configuration to run their scientific applications. Usually, optimal configurations are searched by executing one of the existing benchmark suites, widely used for performance evaluation. Benchmarks are good for comparisons between computational architectures, but they are not the best approach for evaluating if an architecture is adequate for a set of scientific applications. In this work we propose a systematic methodology for performance evaluation. The focus of our methodology begins on scientific application characteristics, and then considers how these characteristics interact with the problem size, with the programming language and finally with a specific computational architecture. The computational experiments and a case study developed highlight this model of evaluation and indicate that optimal performance can be found when we evaluate a combination of application class, program language, problem size and architecture model.