Finite-Di↵erencing and other regular and direct approaches to solving partial di↵erential equations (PDEs) are methods that fit well on data-parallel computer systems. These problems continue to arise in many application areas of computational science and engineering but still o↵er some programming challenges as they are not readily incorporated into a general standard software library that could cover all possible PDEs. Achieving high performance on numerical solutions to PDEs generally requires exposure of the field data structures and application of knowledge of how best to map them to the memory and processing architecture of a particular parallel computer system. Stencil methods for solving PDEs are however readily implemented as semi-...
This paper examines the potential of parallel computation methods for pamal differential equations (...
[[abstract]]The finite element method is widely applied to many domains, such as engineering, atmolo...
With the recent advent of new heterogeneous computing architectures there is still a lack of paralle...
Finite-Differencing and other regular and direct approaches to solving partial differential equation...
AbstractFinite-Differencing and other regular and direct approaches to solving partial differential ...
Stencil computations are a class of algorithms operating on multi-dimensional arrays, which update a...
We present a new software framework for the implementation of applications that use stencil computat...
We show how compiler technology can generate fast and efficient yet human-readable data-parallel sim...
Abstract—Finite-difference methods can be useful for solv-ing certain partial differential equations...
This paper examines the potential of parallel computation methods for partial differential equations...
This paper discusses the implementation of one-factor and three-factor PDE models on GPUs. Both expl...
As parallel and heterogeneous computing becomes more and more a necessity for implementing high perf...
Abstract—Current CPU and GPU architectures heavily use data and instruction parallelism at different...
The growth of data to be processed in the Oil & Gas industry matches the requirements imposed by evo...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
This paper examines the potential of parallel computation methods for pamal differential equations (...
[[abstract]]The finite element method is widely applied to many domains, such as engineering, atmolo...
With the recent advent of new heterogeneous computing architectures there is still a lack of paralle...
Finite-Differencing and other regular and direct approaches to solving partial differential equation...
AbstractFinite-Differencing and other regular and direct approaches to solving partial differential ...
Stencil computations are a class of algorithms operating on multi-dimensional arrays, which update a...
We present a new software framework for the implementation of applications that use stencil computat...
We show how compiler technology can generate fast and efficient yet human-readable data-parallel sim...
Abstract—Finite-difference methods can be useful for solv-ing certain partial differential equations...
This paper examines the potential of parallel computation methods for partial differential equations...
This paper discusses the implementation of one-factor and three-factor PDE models on GPUs. Both expl...
As parallel and heterogeneous computing becomes more and more a necessity for implementing high perf...
Abstract—Current CPU and GPU architectures heavily use data and instruction parallelism at different...
The growth of data to be processed in the Oil & Gas industry matches the requirements imposed by evo...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
This paper examines the potential of parallel computation methods for pamal differential equations (...
[[abstract]]The finite element method is widely applied to many domains, such as engineering, atmolo...
With the recent advent of new heterogeneous computing architectures there is still a lack of paralle...