Pipelined wavefront applications form a large portion of the high performance scientific computing workloads at supercomputing centres. This paper investigates the viability of graphics processing units (GPUs) for the acceleration of these codes, using NVIDIA's Compute Unified Device Architecture (CUDA). We identify the optimisations suitable for this new architecture and quantify the characteristics of those wavefront codes that are likely to experience speedups
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Just five years ago, NVIDIA introduced CUDA, the Compute Unified Device Architecture, which signifi...
Pipelined wavefront computations are an ubiquitous class of high performance parallel algorithms use...
In this paper we investigate the use of distributed graphics processing unit (GPU)-based architectur...
In this paper we investigate the use of distributed graphics processing unit (GPU)-based architectur...
Chandrasekaran, SunitaProcessor architectures have been rapidly evolving for decades. From the intro...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Recent advance of the technologies incorporated in graphics hardware has enabled general-purpose com...
Graphics Processing Units (GPUs) were originally developed for computer gaming and other graphical t...
The aim of this study was to investigate the advantages of different tools designed for running code...
The characteristics of graphics processing units (GPUs), especially their parallel execution capabil...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Through this textbook (written in Spanish), the author introduces the GPU as a parallel computer tha...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Just five years ago, NVIDIA introduced CUDA, the Compute Unified Device Architecture, which signifi...
Pipelined wavefront computations are an ubiquitous class of high performance parallel algorithms use...
In this paper we investigate the use of distributed graphics processing unit (GPU)-based architectur...
In this paper we investigate the use of distributed graphics processing unit (GPU)-based architectur...
Chandrasekaran, SunitaProcessor architectures have been rapidly evolving for decades. From the intro...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Recent advance of the technologies incorporated in graphics hardware has enabled general-purpose com...
Graphics Processing Units (GPUs) were originally developed for computer gaming and other graphical t...
The aim of this study was to investigate the advantages of different tools designed for running code...
The characteristics of graphics processing units (GPUs), especially their parallel execution capabil...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Through this textbook (written in Spanish), the author introduces the GPU as a parallel computer tha...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Just five years ago, NVIDIA introduced CUDA, the Compute Unified Device Architecture, which signifi...
Pipelined wavefront computations are an ubiquitous class of high performance parallel algorithms use...
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