Engineering simulations like aircraft, helicopter or safe building design on massively parallel hardware result in extreme challenges regarding algorithm and software framework development. Algorithms must be robust, scalable and allow for highly accurate computations, in many cases for the solution of time-dependent and non-linear engineering problems. Software frameworks must exploit hardware parallelism on several levels, must be tuneable for different, heterogeneous computing systems and must be easily to maintain. The latter is usually supported by a component-wise framework structure. Engineering simulations often require coupling of several application components. This is a particular challenge for the underlying parallel algorithms,...
90 p.A rising trend in science and engineering is in the utilization of increasingly highfidelity an...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
Computers will soon reach exascale performance, i.e. the capability to perform more than 10^18 FLOPS...
Exploiting parallelism in the solution of scientific and computational engineering problems requires...
We describe a general strategy we have found effective for parallelizing solid mechanics simula- tio...
With modern advancements in hardware and software technology scaling towards new limits, our compute...
A common approach to the design and implementation of parallel optimization algorithms is the a post...
Advances in processing power of modern computer hardware allow the analysis of increasingly complex ...
This work is aimed to exploit the computational capabilities of nowadays workstations by building al...
Numerical simulations in the field of continuum mechanics require considerable computa-tional resour...
Abstract: Problem statement: Even though the computational steering state-of-the-art environments al...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
Parallelization strategies are presented for Virtual Quake, a numerical simulation code for earthqua...
Massively parallel computing holds the promise of extreme performance. Critical for achieving high p...
Parallel reservoir simulation is a topic of special interest to reservoir engineers and reservoir si...
90 p.A rising trend in science and engineering is in the utilization of increasingly highfidelity an...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
Computers will soon reach exascale performance, i.e. the capability to perform more than 10^18 FLOPS...
Exploiting parallelism in the solution of scientific and computational engineering problems requires...
We describe a general strategy we have found effective for parallelizing solid mechanics simula- tio...
With modern advancements in hardware and software technology scaling towards new limits, our compute...
A common approach to the design and implementation of parallel optimization algorithms is the a post...
Advances in processing power of modern computer hardware allow the analysis of increasingly complex ...
This work is aimed to exploit the computational capabilities of nowadays workstations by building al...
Numerical simulations in the field of continuum mechanics require considerable computa-tional resour...
Abstract: Problem statement: Even though the computational steering state-of-the-art environments al...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
Parallelization strategies are presented for Virtual Quake, a numerical simulation code for earthqua...
Massively parallel computing holds the promise of extreme performance. Critical for achieving high p...
Parallel reservoir simulation is a topic of special interest to reservoir engineers and reservoir si...
90 p.A rising trend in science and engineering is in the utilization of increasingly highfidelity an...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
Computers will soon reach exascale performance, i.e. the capability to perform more than 10^18 FLOPS...