In the past decade, Graphics Processing Units have played an important role in the field of high-performance computing and they still advance new fields such as IoT, autonomous vehicles, and exascale computing. It is therefore important to understand how to extract performance from these processors, something that is not trivial. This survey discusses various optimization techniques found in 450 papers published in the last 14 years. We analyze the optimizations from different perspectives which shows that the various optimizations are highly interrelated, explaining the need for techniques such as auto-tuning.

中文翻译：

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GPU 编程的优化技术

在过去的十年中，图形处理单元在高性能计算领域发挥了重要作用，它们仍在推动物联网、自动驾驶汽车和百亿亿次计算等新领域的发展。因此，了解如何从这些处理器中提取性能非常重要，这并非易事。本调查讨论了过去 14 年发表的 450 篇论文中发现的各种优化技术。我们从不同的角度分析优化，表明各种优化是高度相关的，解释了对自动调整等技术的需求。