在移动gpu上近似内存绑定应用程序

Daniel Maier, Nadjib Mammeri, Biagio Cosenza, B. Juurlink
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引用次数: 1

摘要

近似计算技术通常用于提高应用程序的性能,这些应用程序可以容忍计算或数据中的一些杂质。在嵌入式和移动系统的背景下,大量的应用程序已经利用近似技术来提高性能和克服硬件的有限能力。在这样的系统上,即使是很小的性能改进也足以满足计划的需求,例如硬实时截止日期。我们使用内核穿孔研究移动GPU上内存绑定应用程序的近似,这是一种利用快速GPU本地内存的可用性来提供高性能和更准确结果的近似技术。使用这种近似技术,我们近似了六个应用程序,并在两种具有非常不同内存布局的移动GPU架构上进行了评估:高通Adreno 506和ARM Mali T860 MP2。结果表明,即使本地内存没有映射到硬件中的专用快速内存,由于改进的内存布局和缓存效果,内核穿孔仍然能够提供$1.25\倍的$加速。具有本地内存的移动gpu显示出高达1.38倍的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approximating Memory-bound Applications on Mobile GPUs
Approximate computing techniques are often used to improve the performance of applications that can tolerate some amount of impurity in the calculations or data. In the context of embedded and mobile systems, a broad number of applications have exploited approximation techniques to improve performance and overcome the limited capabilities of the hardware. On such systems, even small performance improvements can be sufficient to meet scheduled requirements such as hard real-time deadlines. We study the approximation of memory-bound applications on mobile GPUs using kernel perforation, an approximation technique that exploits the availability of fast GPU local memory to provide high performance with more accurate results. Using this approximation technique, we approximated six applications and evaluated them on two mobile GPU architectures with very different memory layouts: a Qualcomm Adreno 506 and an ARM Mali T860 MP2. Results show that, even when the local memory is not mapped to dedicated fast memory in hardware, kernel perforation is still capable of $1.25\times$ speedup because of improved memory layout and caching effects. Mobile GPUs with local memory show a speedup of up to $1.38\times$.
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