FEAST (Finite Element Analysis & Solutions Tools) is a Finite Element based solver toolkit for the simu-lation of PDE problems on parallel HPC systems which implements the concept of ‘hardware-oriented nu-merics’, a holistic approach aiming at optimal performance for modern numerics. In this paper, we describe this concept and the modular design which enables applications built on top of FEAST to execute effi-ciently, without any code modifications, on commodity based clusters, the NEC SX 8 and GPU-accelerated clusters. We demonstrate good performance and weak and strong scalability for the prototypical Poisson problem and more challenging applications from solid mechanics and fluid dynamics.
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
We investigate a domain decomposition method (DDM) of finite element method (FEM) using Intel's...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
One current trend in software development for PDEs, and here especially for FE approaches, clearly g...
Abstract. This paper deals with the in uence of hardware aspects of modern computer architectures to...
Some experiences on writing a parallel finite element code on a Beowulf cluster are shown. This clus...
Computational fluid analysis requires huge amounts of computational resources. However, for the usua...
A finite element code is developed in which all computational expensive steps are performed on a gra...
This paper deals with the basic principles of the new FEM software package FEAST. Based on an initia...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
Abstract—We present a tool chain for the fully automated synthesis of performance-portable finite-el...
In our work we analyze computational aspects of the problem of numerical integration in finite eleme...
We present a parallel implementation of a direct solver for Poisson's equation on extreme-scale supe...
This paper presents GPU parallelization for a computational fluid dynamics solver which works on a m...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
We investigate a domain decomposition method (DDM) of finite element method (FEM) using Intel's...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
One current trend in software development for PDEs, and here especially for FE approaches, clearly g...
Abstract. This paper deals with the in uence of hardware aspects of modern computer architectures to...
Some experiences on writing a parallel finite element code on a Beowulf cluster are shown. This clus...
Computational fluid analysis requires huge amounts of computational resources. However, for the usua...
A finite element code is developed in which all computational expensive steps are performed on a gra...
This paper deals with the basic principles of the new FEM software package FEAST. Based on an initia...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
Abstract—We present a tool chain for the fully automated synthesis of performance-portable finite-el...
In our work we analyze computational aspects of the problem of numerical integration in finite eleme...
We present a parallel implementation of a direct solver for Poisson's equation on extreme-scale supe...
This paper presents GPU parallelization for a computational fluid dynamics solver which works on a m...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
We investigate a domain decomposition method (DDM) of finite element method (FEM) using Intel's...