A high throughput data acquisition and processing model for applications based on GPUs

作者：Nieto J^*; De Arcas D; Ruiz M; Castro R; Vega J; Guillen P

来源：Fusion Engineering and Design, 2015, 96-97: 895-898.

DOI：10.1016/j.fusengdes.2015.04.032

• Graphic processing units (GPU)
• Data acquisition and processing
• Fusion experiments

There is an increasing interest in the use of GPU technologies for real time analysis in fusion devices. The availability of high bandwidth interfaces has made them a very cost effective alternative not only for high volume data analysis or simulation, and commercial products are available for some interest areas. However from the point of view of their application in real time scenarios, there are still some issues under analysis, such as the possibility to improve the data throughput inside a discrete system consisting of data acquisition devices (DAQ) and GPUs. This paper addresses the possibility of using peer to peer data communication between DAQ devices and GPUs sharing the same PCIexpress bus to implement continuous real time acquisition and processing systems where data transfers require minimum CPU intervention. This technology eliminates unnecessary system memory copies and lowers CPU overhead, avoiding bottleneck when the system uses the main system memory.

• 出版日期2015-10