In the numerical treatment of population dynamic models a great number of large linear systems must be solved at each time step. Thus the application of parallel algorithms may result to be convenient. In this paper we analyze how it can be done and the problems that arise in doing it. We propose two different ways of parallel implementation for a numerical method suitable to solve the model considered. As numerical tests we have considered the speedup obtained for a distributed memory parallel computer and the speedup extimated for shared memory parallel computers. These numerical results show high speedup for the second kind of computer
The solution of large and sparse models presents in many ways a suitable structure for implementatio...
The paper presents a parallelization technique for the finite pointset method, a numerical method fo...
summary:In this paper, we present a parallel scheme to solve the population balance equations based ...
In the numerical treatment of population dynamic models a great number of large linear systems must ...
In this thesis we developed a parallel implementation of cellular fluid dynamics model. Its advantag...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...
Research in parallel simulation has been around for more than two decades. However, the number of pa...
Research in parallel simulation has been around for more than two decades. However, the number of pa...
As computational models of multicellular populations include ever more detailed descriptions of biop...
The main aim of this thesis is the exploration of the potential use of the parallelism of numerical ...
In this paper we develop algorithms to solve macro econometric models with forward-looking variables...
As computational models of multicellular populations include ever more detailed descriptions of biop...
The problem of parallel dynamic simulation and state estimation for large-scale dynamic systems is i...
Abstract This paper describes a parallel algorithm for Dynamic Relaxation Method. The basic theory o...
Abstract:- The compartmental models using differential equations are basic models in epidemiology. T...
The solution of large and sparse models presents in many ways a suitable structure for implementatio...
The paper presents a parallelization technique for the finite pointset method, a numerical method fo...
summary:In this paper, we present a parallel scheme to solve the population balance equations based ...
In the numerical treatment of population dynamic models a great number of large linear systems must ...
In this thesis we developed a parallel implementation of cellular fluid dynamics model. Its advantag...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...
Research in parallel simulation has been around for more than two decades. However, the number of pa...
Research in parallel simulation has been around for more than two decades. However, the number of pa...
As computational models of multicellular populations include ever more detailed descriptions of biop...
The main aim of this thesis is the exploration of the potential use of the parallelism of numerical ...
In this paper we develop algorithms to solve macro econometric models with forward-looking variables...
As computational models of multicellular populations include ever more detailed descriptions of biop...
The problem of parallel dynamic simulation and state estimation for large-scale dynamic systems is i...
Abstract This paper describes a parallel algorithm for Dynamic Relaxation Method. The basic theory o...
Abstract:- The compartmental models using differential equations are basic models in epidemiology. T...
The solution of large and sparse models presents in many ways a suitable structure for implementatio...
The paper presents a parallelization technique for the finite pointset method, a numerical method fo...
summary:In this paper, we present a parallel scheme to solve the population balance equations based ...