Add to ORKGThis report discusses shared memory parallel algorithms. It explains the benefits and difficulties of parallelizing algorithms by means of some examples. The main examples are parallel algorithms for calculating a Cholesky decomposition, performing forward and back substitution and adaptively building binary triangle trees
The emerging discipline of algorithm engineering has primarily focussed on transforming pencil-and...
In the numerical treatment of population dynamic models a great number of large linear systems must ...
Abstract: This paper presents a 7-step, semi-systematic approach for designing and implementing para...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...
The goal of this work was to examine existing shared memory parallel programming models, figure out ...
Abstract. The goal of this paper is to point out that analyses of parallelism in computational probl...
AbstractA parallel algorithm is developed for Cholesky factorization on a shared-memory multiprocess...
In this thesis the design of parallel numerical algorithms is investigated under the framework of th...
Parallel computing is the process of executing multiple sets of instructions simultaneously. This re...
Formalization of Kruskal’s algorithm for constructing a minimal spanning tree of an undirected graph...
This session explores, through the use of formal methods, the “intuition” used in creating a paralle...
Parallel computing is a type of computation in which many processing are performed concurrently ofte...
Parallel graph reduction is a conceptually simple model for the concurrent evaluation of lazy functi...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...
Introduces the developments in the construction, analysis, and implementation of parallel computing ...
The emerging discipline of algorithm engineering has primarily focussed on transforming pencil-and...
In the numerical treatment of population dynamic models a great number of large linear systems must ...
Abstract: This paper presents a 7-step, semi-systematic approach for designing and implementing para...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...
The goal of this work was to examine existing shared memory parallel programming models, figure out ...
Abstract. The goal of this paper is to point out that analyses of parallelism in computational probl...
AbstractA parallel algorithm is developed for Cholesky factorization on a shared-memory multiprocess...
In this thesis the design of parallel numerical algorithms is investigated under the framework of th...
Parallel computing is the process of executing multiple sets of instructions simultaneously. This re...
Formalization of Kruskal’s algorithm for constructing a minimal spanning tree of an undirected graph...
This session explores, through the use of formal methods, the “intuition” used in creating a paralle...
Parallel computing is a type of computation in which many processing are performed concurrently ofte...
Parallel graph reduction is a conceptually simple model for the concurrent evaluation of lazy functi...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...
Introduces the developments in the construction, analysis, and implementation of parallel computing ...
The emerging discipline of algorithm engineering has primarily focussed on transforming pencil-and...
In the numerical treatment of population dynamic models a great number of large linear systems must ...
Abstract: This paper presents a 7-step, semi-systematic approach for designing and implementing para...