We present a new software framework for the implementation of applications that use stencil computations on block-structured grids to solve partial differential equations. A key feature of the framework is the extensive use of automatic source code generation which is used to achieve high performance on a range of leading multi-core processors. Results are presented for a simple model stencil running on Intel and AMD CPUs as well as the NVIDIA GT200 GPU. The generality of the framework is demonstrated through the implementation of a complete application consisting of many different stencil computations, taken from the field of computational fluid dynamics. © 2010 IEEE
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
We present a new compiler framework for truly heterogeneous 3D stencil computation on GPU clusters. ...
PDE discretization schemes yielding stencil-like computing patterns are commonly used for seismic mo...
AbstractFinite-Differencing and other regular and direct approaches to solving partial differential ...
Finite-Differencing and other regular and direct approaches to solving partial differential equation...
Stencil computations are a class of algorithms operating on multi-dimensional arrays, which update a...
Stencils are a fundamental access pattern in scientific codes based on Partial Differential Equation...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We show how compiler technology can generate fast and efficient yet human-readable data-parallel sim...
AbstractA high-productivity framework for multi-GPU and multi-CPU computation of stencil application...
The implementation of stencil computations on modern, mas-sively parallel systems with GPUs and othe...
This report documents the program and the outcomes of Dagstuhl Seminar 15161 "Advanced Stencil-Code ...
As the cost of data movement increasingly dominates performance, developers of finite-volume and fin...
Partial Differential Equations (PDEs) are widely used to simulate many scenarios in science and engi...
International audienceAs the computation power of modern high performance architectures increases, t...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
We present a new compiler framework for truly heterogeneous 3D stencil computation on GPU clusters. ...
PDE discretization schemes yielding stencil-like computing patterns are commonly used for seismic mo...
AbstractFinite-Differencing and other regular and direct approaches to solving partial differential ...
Finite-Differencing and other regular and direct approaches to solving partial differential equation...
Stencil computations are a class of algorithms operating on multi-dimensional arrays, which update a...
Stencils are a fundamental access pattern in scientific codes based on Partial Differential Equation...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We show how compiler technology can generate fast and efficient yet human-readable data-parallel sim...
AbstractA high-productivity framework for multi-GPU and multi-CPU computation of stencil application...
The implementation of stencil computations on modern, mas-sively parallel systems with GPUs and othe...
This report documents the program and the outcomes of Dagstuhl Seminar 15161 "Advanced Stencil-Code ...
As the cost of data movement increasingly dominates performance, developers of finite-volume and fin...
Partial Differential Equations (PDEs) are widely used to simulate many scenarios in science and engi...
International audienceAs the computation power of modern high performance architectures increases, t...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
We present a new compiler framework for truly heterogeneous 3D stencil computation on GPU clusters. ...
PDE discretization schemes yielding stencil-like computing patterns are commonly used for seismic mo...