Processor technology is dramatically advancing and promises enormous improvements in processing data for the next decade. On the other hand, much lower advances in moving data are expected such that the efficiency of many numerical software tools for Partial Differential Equations are restricted by the cost for memory access. We demonstrate how data locality and pipelining can achieve a significant percentage of the available huge computing power, and we explain the influence of processor technology on recent and future numerical simulation tools. Exemplarily, we describe hardware-related concepts for adaptive error control, multigrid/domain decomposition schemes and incompressible flow solvers and discuss their numerical and computational ...
In this paper we discuss and demonstrate the feasibility of solving high-fidelity, nonlinear computa...
The use of computers in heat transfer and fluid flow has become so commonplace today that no one wou...
Partial Differential Equations (PDEs) are widely used to simulate many scenarios in science and engi...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Abstract. Simulations of PDE-based systems, such as ight vehicles, the global climate, petroleum re...
This work is aimed to exploit the computational capabilities of nowadays workstations by building al...
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
The continued development of improved algorithms and architecture for numerical simulations is at th...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
This paper examines the potential of parallel computation methods for partial differential equations...
The life-cycle of a partial differential equation (PDE) solver is often characterized by three devel...
Physics-based simulation, Computational Fluid Dynamics (CFD) in particular, has substantially reshap...
Nowadays, we can easily carry out heavy numerical simulation by using cheep and pow-erful computers....
Power consumption and energy efficiency are becoming critical aspects in the design and operation of...
In this paper we discuss and demonstrate the feasibility of solving high-fidelity, nonlinear computa...
The use of computers in heat transfer and fluid flow has become so commonplace today that no one wou...
Partial Differential Equations (PDEs) are widely used to simulate many scenarios in science and engi...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
Abstract. Simulations of PDE-based systems, such as ight vehicles, the global climate, petroleum re...
This work is aimed to exploit the computational capabilities of nowadays workstations by building al...
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
The continued development of improved algorithms and architecture for numerical simulations is at th...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
This paper examines the potential of parallel computation methods for partial differential equations...
The life-cycle of a partial differential equation (PDE) solver is often characterized by three devel...
Physics-based simulation, Computational Fluid Dynamics (CFD) in particular, has substantially reshap...
Nowadays, we can easily carry out heavy numerical simulation by using cheep and pow-erful computers....
Power consumption and energy efficiency are becoming critical aspects in the design and operation of...
In this paper we discuss and demonstrate the feasibility of solving high-fidelity, nonlinear computa...
The use of computers in heat transfer and fluid flow has become so commonplace today that no one wou...
Partial Differential Equations (PDEs) are widely used to simulate many scenarios in science and engi...