A group block distribution strategy for a heterogeneous machine

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2002

Autores

Jorge Manuel Gomes Barbosa (Autor) FEUP; João Manuel Ribeiro Silva Tavares (Autor) FEUP; Armando Jorge Monteiro Neves Padilha (Autor) FEUP

Ata de Conferência Internacional

Título: Applied Informatics

Páginas: 378-383

Applied Informatics - International Symposium on Parallel and Distributed Computing and Networks

Innsbruck, Austria, 18 a 21 de Fevereiro de 2002

Indexação

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia de computadores

Outras Informações

Abstract (EN): This paper discusses the data distribution problem for inherently sequential algorithms, such as the LU factorization in linear algebra, when computed on heterogeneous machines. These algorithms present additional difficulties to optimize the processing time due to the fact that the computational load for data matrix columns increases with their index, requiring a fine tuned load assignment and distribution. A new static load distribution strategy is presented that achieves better results than other algorithms developed for the same purpose as shown in the results section. The strategy is called static because it distinguishes the computation environment implementation from the algorithm implementation, as explained below.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6