Título de la tesis:
A framework for efficient execution of matrix computations
Autor/es:
Herrero Zaragoza, Jose Ramón
Tipo de documento:
Tesis (Doctoral)
Universidad:
UPC
Departamento:
701 ARQUITECTURA DE COMPUTADORS
Idioma:
Inglés
Palabras clave:
matrix computations, high performance computing, inner kernels, hypermatrix, dense and sparse linear algebra, nonlinear array layouts, performance tuning
Fecha de la defensa:
7-07-2006
Notas:
Tesis dirigida por: Navarro, Juan J. (Juan José)
Resumen: Matrix computations lie at the heart of most scientific computational tasks. The solution of linear systems of equations is a very frequent operation in many fields in science, engineering, surveying, physics and others. Other matrix operations occur frequently in many other fields such as pattern recognition and classification, or multimedia applications. Therefore, it is important to perform matrix operations efficiently. The work in this thesis focuses on the efficient execution on commodity processors of matrix operations which arise frequently in different fields. We s...
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