This study focuses on the key numerical technique of stencil computations, used in many different scientific disciplines, and illustrates how auto-tuning can be used to produce very efficient implementations across a diverse set of current multicore architectures
The focus of this work is the automatic performance tuning of stencil computations on Graphics Proce...
dissertationStencil computations are operations on structured grids. They are frequently found in pa...
Modern scientific workloads have demonstrated the inefficiency of using high precision formats. Movi...
This study focuses on the key numerical technique of stencil computations, used in many different sc...
Although stencil auto-tuning has shown tremendous potential in effectively utilizing architectural r...
The recent transformation from an environment where gains in computational performance came from inc...
Understanding the most efficient design and utilization of emerging multicore systems is one of the ...
This work introduces a generalized framework for automatically tuning stencil computations to achiev...
PRACE 2IP White PaperOn multi-core clusters or supercomputers, how to get good performance when runn...
Abstract In this paper, we present PATUS, a code gener-ation and auto-tuning framework for stencil c...
We propose and evaluate a novel strategy for tuning the performance of a class of stencil computatio...
International audienceStencil computation represents an important numerical kernel in scientific com...
International audienceStencil based computation on structured grids is a kernel at the heart of a la...
The focus of this work is the automatic performance tuning of stencil computations on Graphics Proce...
dissertationStencil computations are operations on structured grids. They are frequently found in pa...
Modern scientific workloads have demonstrated the inefficiency of using high precision formats. Movi...
This study focuses on the key numerical technique of stencil computations, used in many different sc...
Although stencil auto-tuning has shown tremendous potential in effectively utilizing architectural r...
The recent transformation from an environment where gains in computational performance came from inc...
Understanding the most efficient design and utilization of emerging multicore systems is one of the ...
This work introduces a generalized framework for automatically tuning stencil computations to achiev...
PRACE 2IP White PaperOn multi-core clusters or supercomputers, how to get good performance when runn...
Abstract In this paper, we present PATUS, a code gener-ation and auto-tuning framework for stencil c...
We propose and evaluate a novel strategy for tuning the performance of a class of stencil computatio...
International audienceStencil computation represents an important numerical kernel in scientific com...
International audienceStencil based computation on structured grids is a kernel at the heart of a la...
The focus of this work is the automatic performance tuning of stencil computations on Graphics Proce...
dissertationStencil computations are operations on structured grids. They are frequently found in pa...
Modern scientific workloads have demonstrated the inefficiency of using high precision formats. Movi...