Compiler support for GPU application accelerators

GPU 应用加速器的编译器支持

• 批准号: 121615-2010
• 负责人: Abdelrahman, Tarek
• 金额: $ 2.26万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=522179
• 关键词: Compiler; support; GPU; application; accelerators

Graphics Processing Units (GPUs) have emerged as a new platform for accelerating compute-intensive applications. GPUs exist in every desktop and laptop computer. Their main purpose is to provide high-speed data processing for graphics-intensive applications, such as computer games. However, in the last two to three years GPU manufacturers have provided software interfaces to allow GPUs to be used for non-graphics applications. This has effectively made it possible to use GPUs as low-cost supercomputers. Thus, it comes as no surprise that GPUs are being used in many fields of science, engineering a medicine to accelerate compute-intensive applications, such as medical image processing, engineering design and financial modeling.

图形处理器(GPU)已成为加速计算密集型应用程序的新平台。GPU存在于每一台台式机和笔记本电脑中。它们的主要目的是为计算机游戏等图形密集型应用程序提供高速数据处理。然而，在过去的两三年里，GPU制造商提供了软件接口，允许将GPU用于非图形应用程序。这有效地使将GPU用作低成本超级计算机成为可能。因此，GPU被用于许多科学领域就不足为奇了，通过设计医学来加速计算密集型应用，如医学图像处理、工程设计和金融建模。