Massively parallel computing holds the promise of extreme performance. Critical for achieving high performance is the ability to exploit locality of reference and effective management of the communication resources. This article describes two communication primitives and associated mapping strategies that have been used for several different unstructured, three-dimensional, finite element applications in computational fluid dynamics and structural mechanics.Engineering and Applied Science
We describe a general strategy we have found effective for parallelizing solid mechanics simula- tio...
The objective of this paper is to propose communication procedures suitable for unstructured finite ...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX74860/87 / BLDSC - British Library...
Efficient data motion is critical for high performance computing on distributed memory architectures...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
This paper demonstrates that scalability and competitive efficiency can be achieved for unstructured...
This paper describes the methods used and experiences made with implementing a finite element applic...
This paper describes the methods used and experiences made with implementing a finite element applic...
Explicit finite-element methods are widely used for problems of non-linear structural mechanics. Bec...
The authors describe their work on the massively parallel finite-element computation of compressible...
International audienceWe first define the meaning of "massively parallel computation": considering o...
[[abstract]]The finite element method is widely used to model physical systems in various engineerin...
Abstract. In this paper we address various efficiency aspects of finite element (FE) simulations on ...
Generally, parallel scientific applications are executed on a fixed number of processors determined ...
This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid...
We describe a general strategy we have found effective for parallelizing solid mechanics simula- tio...
The objective of this paper is to propose communication procedures suitable for unstructured finite ...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX74860/87 / BLDSC - British Library...
Efficient data motion is critical for high performance computing on distributed memory architectures...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
This paper demonstrates that scalability and competitive efficiency can be achieved for unstructured...
This paper describes the methods used and experiences made with implementing a finite element applic...
This paper describes the methods used and experiences made with implementing a finite element applic...
Explicit finite-element methods are widely used for problems of non-linear structural mechanics. Bec...
The authors describe their work on the massively parallel finite-element computation of compressible...
International audienceWe first define the meaning of "massively parallel computation": considering o...
[[abstract]]The finite element method is widely used to model physical systems in various engineerin...
Abstract. In this paper we address various efficiency aspects of finite element (FE) simulations on ...
Generally, parallel scientific applications are executed on a fixed number of processors determined ...
This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid...
We describe a general strategy we have found effective for parallelizing solid mechanics simula- tio...
The objective of this paper is to propose communication procedures suitable for unstructured finite ...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX74860/87 / BLDSC - British Library...