This article describes the porting and optimization of an explicit, time-dependent, computational fluid dynamics code on an 8,192-node MasPar MP-1. The MasPar is a very fine-grained, single instruction, multiple data parallel computer. The code uses the flux-corrected transport algorithm. We describe the techniques used to port and optimize the code, and the behavior of a test problem. The test problem used to benchmark the flux-corrected transport code on the MasPar was a two-dimensional exploding shock with periodic boundary conditions. We discuss the performance that our code achieved on the MasPar, and compare its performance on the MasPar with its performance on other architectures. The comparisons show that the performance of the code...
The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel ...
This paper describes performance tuning experiences with a parallel CFD code to enhance its performa...
Computation and communication are the two main modules in parallel computing. Reducing communication...
In the last decade, computer simulation of compressible flow has seen a steady movement away from cl...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
An explicit computational fluid dynamics (CFD) computer code with parallel processing capability has...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
Computational issues relevant to parallel efficiency and algorithm scalability are explored on three...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX179321 / BLDSC - British Library D...
This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid...
A finite element model is developed and used to simulate three-dimensional compressible fluid flow o...
A finite element model is developed and used to simulate three-dimensional compressible fluid flow o...
The paper presents a finite element code for compressible flow simulations. The code has two importa...
The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel ...
This paper describes performance tuning experiences with a parallel CFD code to enhance its performa...
Computation and communication are the two main modules in parallel computing. Reducing communication...
In the last decade, computer simulation of compressible flow has seen a steady movement away from cl...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
An explicit computational fluid dynamics (CFD) computer code with parallel processing capability has...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
Computational issues relevant to parallel efficiency and algorithm scalability are explored on three...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX179321 / BLDSC - British Library D...
This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid...
A finite element model is developed and used to simulate three-dimensional compressible fluid flow o...
A finite element model is developed and used to simulate three-dimensional compressible fluid flow o...
The paper presents a finite element code for compressible flow simulations. The code has two importa...
The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel ...
This paper describes performance tuning experiences with a parallel CFD code to enhance its performa...
Computation and communication are the two main modules in parallel computing. Reducing communication...