[SPA]En la actualidad, existen problemas tecnológicos que impiden incrementar la eficiencia de los procesadores, entre los que cabe destacar las limitaciones en la frecuencia a la que pueden operar por problemas de disipación térmica. Debido a esta problemática, los fabricantes optan por utilizar arquitecturas multinúcleo para seguir incrementando las prestaciones computacionales. Las ventajas que este cambio de paradigma ofrece son obvias, reduciendo considerablemente el tiempo de computación en problemas complejos que serían inabordables desde el punto de vista de la computación serializada. Si bien, es cierto que, utilizar los recursos computacionales de forma adecuada es un aspecto clave, también lo es el método de resolución ut...
Summarization: Numerical algorithms with multigrid techniques are among the fastest iterative scheme...
Iterative techniques are a key methodology for the numerical solution of optimization problems in di...
Aggregation methods are applied to finite element software in two directions. In a first part, we st...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The multigrid algorithm is a fast and efficient (in fact provably optimal) method for solving a wide...
266 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.A parallel multigrid algorith...
Neste trabalho, são estudados algoritmos do tipo Multigrid, que possuem o objetivo de acelerar a con...
Orientador : Prof. Dr. Carlos Henrique MarchiCo-Orientador: Prof. Dr. Marcio Augusto Villela PintoTe...
This work presents a parallel implementation of density-based topology optimization using distribute...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The need of fast and reliable methods to solve large linear systems of equations is growing rapidly....
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
Geometric Multigrid (GMG) methods are widely used in numerical analysis to accelerate the convergenc...
This dissertation has investigated the use of multigrid methods in certain classes of optimization p...
Summarization: Numerical algorithms with multigrid techniques are among the fastest iterative scheme...
Iterative techniques are a key methodology for the numerical solution of optimization problems in di...
Aggregation methods are applied to finite element software in two directions. In a first part, we st...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The multigrid algorithm is a fast and efficient (in fact provably optimal) method for solving a wide...
266 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.A parallel multigrid algorith...
Neste trabalho, são estudados algoritmos do tipo Multigrid, que possuem o objetivo de acelerar a con...
Orientador : Prof. Dr. Carlos Henrique MarchiCo-Orientador: Prof. Dr. Marcio Augusto Villela PintoTe...
This work presents a parallel implementation of density-based topology optimization using distribute...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The need of fast and reliable methods to solve large linear systems of equations is growing rapidly....
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
Geometric Multigrid (GMG) methods are widely used in numerical analysis to accelerate the convergenc...
This dissertation has investigated the use of multigrid methods in certain classes of optimization p...
Summarization: Numerical algorithms with multigrid techniques are among the fastest iterative scheme...
Iterative techniques are a key methodology for the numerical solution of optimization problems in di...
Aggregation methods are applied to finite element software in two directions. In a first part, we st...