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Graphics processing unit (GPU) programming strategies and trends in GPU computing
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DOI：10.1016/j.jpdc.2012.04.003.png)
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Abstract
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Over the last decade, there has been a growing interest in the use of graphics processing units (GPUs) for non-graphics applications. From early academic proof-of-concept papers around the year 2000, the use of GPUs has now matured to a point where there are countless industrial applications. Together with the expanding use of GPUs, we have also seen a tremendous development in the programming languages and tools, and getting started programming GPUs has never been easier. However, whilst getting started with CPU programming can be simple, being able to fully utilize CPU hardware is an art that can take months or years to master. The aim of this article is to simplify this process, by giving an overview of current CPU programming strategies, profile-driven development, and an outlook to future trends. (C) 2012 Elsevier Inc. All rights reserved.
Keywords:
GPU computing
Heterogeneous computing
Profiling
Optimization
Debugging
Hardware
Future trends
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