使GPU软件开发人员能够优化他们的应用程序- lppu2方法

B. Juurlink, J. Lucas, Nadjib Mammeri, G. Keramidas, Katerina Pontzolkova, I. Aransay, Chrysa Kokkala, Martyn Bliss, A. Richards
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引用次数: 2

摘要

低功耗gpu已经变得无处不在,它们可以在从可穿戴和移动计算到汽车系统的各个领域找到。随着这种普及,越来越多的应用程序利用低功耗gpu,对设备的预期性能和功率效率提出了越来越高的要求。lppu2项目是欧盟资助的创新行动项目,为期30个月,旨在开发一个分析和可视化框架,使GPU应用程序开发人员能够提高其应用程序的性能和功耗。为此,该项目遵循整体方法。首先,一些应用程序(用例)正在为低功耗gpu开发或移植。这些应用程序将在项目的最后阶段使用工具框架进行优化。此外,功率测量装置和功率模型的设计比目前的技术水平精确10倍。该项目的最终目标是通过Khronos小组促进开放的供应商中立标准。本文简要介绍了项目第一阶段(截止到18日)所取得的成果,重点介绍了项目申请的进展情况;在功率测量,估计和建模;在分析和可视化工具套件中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling GPU software developers to optimize their applications — The LPGPU2 approach
Low-power GPUs have become ubiquitous, they can be found in domains ranging from wearable and mobile computing to automotive systems. With this ubiquity has come a wider range of applications exploiting low-power GPUs, placing ever increasing demands on the expected performance and power efficiency of the devices. The LPGPU2 project is an EU-funded, Innovation Action, 30-month-project targeting to develop an analysis and visualization framework that enables GPU application developers to improve the performance and power consumption of their applications. To this end, the project follows a holistic approach. First, several applications (use cases) are being developed for or ported to low-power GPUs. These applications will be optimized using the tooling framework in the last phase of the project. In addition, power measurement devices and power models are devised that are 10× more accurate than the state of the art. The ultimate goal of the project is to promote open vendor-neutral standards via the Khronos group. This paper briefly reports on the achievements made in the first phase of the project (till month 18) and focuses on the progress made in applications; in power measurement, estimation, and modelling; and in the analysis and visualization tool suite.
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