Having been crafted to welcome a new scientific journal, this paper looks forward but requires no special prerequisite. The argument builds on a technical wrinkle (used earlier but explained here fully for the first time), namely, the author’s grid-bound variant of Brownian motion B(t). While B(t) itself is additive, this variant is a multiplicative recursive process the author calls a “cartoon...

Recently, a number of proposals have appeared in the literature describing various computational models that allow multilingual programming in a parallel or distributed environment. In this paper we briefly review two of these models that seem very promising, namely Linda based on a shared memory model (Tuple Space) and the Program Composition Notation based on concurrent logic programming. We ...

Data explosion is an increasingly prevalent problem in every field of science. Traditional out-of-core models that assume a single disk have been found inadequate to handle voluminous data. As a result, models that employ multiple disks have been proposed in the literature. For example, the Parallel Disk Systems (PDS) model assumes D disks and a single computer. It is also assumed that a block ...

Calculations can naturally be described as graphs in which vertices represent computation and edges reeect data dependencies. By partitioning the vertices of a graph, the calculation can be divided among processors of a parallel computer. However, the standard methodology for graph partitioning minimizes the wrong metric and lacks expressibility. We survey several recently proposed alternatives...

In this paper we have developed algorithms to solve macroeconometric models with forward-looking variables based on Newton method for nonlinear systems of equations. The most difficult step for Newton methods represents the resolution of a large linear system for each iteration. Thus, we compare the performances resulted by solving this linear system using two iterative methods and the direct m...

For years the CPU clock frequency was the key to improve processor performance. Nowadays, modern processors enable performance improvements by increasing the number of cores. However, existing software needs to be adapted to be able to utilize multiple cores. Such an adaptation poses many challenges in the field of discrete-event software simulation. Decades of intensive research have been spen...

Macroeconometric models with forward-looking variables give raise to very large systems of equations that requires heavy computations. These models was influenced by the development of new and efficient computational techniques and they are an interesting testing ground for the numerical methods addressed in this research. The most difficult problem in solving such models is to obtain the solut...

This paper is an attempt to make the discussion of parallel genetic algorithms independent from hardware issues. There have been many parallel implementations of genetic algorithms, some of them on hardware that is not even available any more. Most of these implementations have also modified the structure of the genetic algorithm for matters of efficiency, and it has been reported that these mo...

We review the limited progress which has been made to date on the problem of identiication of independent sourcess from a linear mixture of such sources when the sources are non-stationary. In particular, we investigate the model of Matsuoka et al and show that their claim to have a linear model is in fact not correct. We demonstrate a hierarchical feedforward model which is more linear than th...

A parallel solver for numerical simulations of a full cardiac cycle in three dimensional domains, based on the anisotropic Monodomain and Bidomain models, is presented. The solver employs structured isoparametric trilinear finite elements in space and a semi-implicit adaptive method in time. Parallelization and portability are based on the PETSc parallel library. Largescale parallel computation...