论文标题
高能物理中使用GPU的实时数据处理
Real-time data processing with GPUs in high energy physics
论文作者
论文摘要
随着高能量物理实验达到较高的亮度和强度，实时数据处理和减少的计算负担也会增长。遵循计算环境中的发展，越来越多地用于此类任务，越来越多地使用多核处理器（例如图形处理单元（GPU））。这些程序提供了GPU体系结构的介绍，并描述了如何在实时数据处理中映射到常见任务。此外，提出了五个不同高能物理实验的触发系统中GPU的特定用例。
As high energy physics experiments reach higher luminosities and intensities, the computing burden for real time data processing and reduction grows. Following the developments in the computing landscape, multi-core processors such as graphics processing units (GPUs) are increasingly used for such tasks. These proceedings provide an introduction to the GPU architecture and describe how it maps to common tasks in real time data processing. In addition, specific use cases of GPUs in the trigger systems of five different high energy physics experiments are presented.
