Abstract—Computing nodes in reconfigurable clusters are occupied and released by applications during their execution. At compile time, application developers are not aware of the amount of resources available at run time. Dynamic Stencil is an approach that optimises stencil applications by constructing scalable designs which can adapt to available run-time resources in a recon-figurable cluster. This approach has three stages: compile-time optimisation, run-time initialisation, and run-time scaling, and can be used in developing effective servers for stencil computation. Reverse-Time Migration, a high-performance stencil application, is developed with the proposed approach. Experimental results show that high throughput and significant res...
Stencil computations form the basis for computer simulations across almost every field of science, s...
Communicated by Guest Editors Our aim is to apply program transformations to stencil codes in order ...
AbstractIt is crucial to optimize stencil computations since they are the core (and most computation...
Abstract—Computing nodes in reconfigurable clusters are occupied and released by applications during...
AbstractExecuting stencil computations constitutes a significant portion of execution time for many ...
A design approach is proposed to automatically identify and exploit runtime reconfiguration opportun...
Spatial computing devices have been shown to significantly accelerate stencil computations, but have...
Stencil operations represent a fundamental class of algorithms in high-performance computing. We are...
PRACE 2IP White PaperOn multi-core clusters or supercomputers, how to get good performance when runn...
Although stencil auto-tuning has shown tremendous potential in effectively utilizing architectural r...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We propose and evaluate a novel strategy for tuning the performance of a class of stencil computatio...
In the field of structured parallel programming we study and implement a shared-memory runtime suppo...
The implementation of stencil computations on modern, mas-sively parallel systems with GPUs and othe...
PDE discretization schemes yielding stencil-like computing patterns are commonly used for seismic mo...
Stencil computations form the basis for computer simulations across almost every field of science, s...
Communicated by Guest Editors Our aim is to apply program transformations to stencil codes in order ...
AbstractIt is crucial to optimize stencil computations since they are the core (and most computation...
Abstract—Computing nodes in reconfigurable clusters are occupied and released by applications during...
AbstractExecuting stencil computations constitutes a significant portion of execution time for many ...
A design approach is proposed to automatically identify and exploit runtime reconfiguration opportun...
Spatial computing devices have been shown to significantly accelerate stencil computations, but have...
Stencil operations represent a fundamental class of algorithms in high-performance computing. We are...
PRACE 2IP White PaperOn multi-core clusters or supercomputers, how to get good performance when runn...
Although stencil auto-tuning has shown tremendous potential in effectively utilizing architectural r...
Communicated by Guest Editors The implementation of stencil computations on modern, massively parall...
We propose and evaluate a novel strategy for tuning the performance of a class of stencil computatio...
In the field of structured parallel programming we study and implement a shared-memory runtime suppo...
The implementation of stencil computations on modern, mas-sively parallel systems with GPUs and othe...
PDE discretization schemes yielding stencil-like computing patterns are commonly used for seismic mo...
Stencil computations form the basis for computer simulations across almost every field of science, s...
Communicated by Guest Editors Our aim is to apply program transformations to stencil codes in order ...
AbstractIt is crucial to optimize stencil computations since they are the core (and most computation...