AI 中文总结
LHCb探测器升级后数据量剧增，为应对其实时处理高吞吐量需求，提出一种结合零拷贝技术与基于GPU过滤器的融合架构，能实时处理32 Tbps数据，扩展了LHCb物理计划范围并树立实时数据处理新标准。
AI 中文摘要
大型强子对撞机的LHCb探测器已升级，以获取前所未有的32 Tbps粒子碰撞数据，为高能物理领域提供新见解。探测器产生的数据被实时过滤以选择有趣的碰撞。作为升级的一部分，一个预过滤阶段已被移除，导致数据速率提高了40倍。为了应对LHCb实时数据处理的高吞吐量需求，我们提出了一种现成的网络架构，它结合了零拷贝技术和高效的基于GPU的过滤器。我们的融合架构能够实时处理全部32 Tbps的粒子碰撞数据，这是迄今为止任何物理实验中最高的。我们的结果扩展了LHCb物理计划的范围，并为粒子物理实验中的实时数据处理树立了新的标准。
英文摘要
The LHCb detector at the Large Hadron Collider has been upgraded to acquire an unprecedented 32 Tbps of particle-collision data to provide new insights in the High Energy Physics domain. The data produced by the detector is filtered in real-time to select interesting collisions. As part of the upgrade, a pre-filtering stage has been removed leading to a factor 40 increase in data rate. To deal with the high throughput demands of LHCb real-time data processing, we present an off-the-shelf network architecture using zero-copy techniques in conjunction with an efficient, fully-GPU-based filter. Our converged architecture is able to process the full 32 Tbps of particle-collision data in real-time, the highest in any physics experiment to date. Our result extends the reach of the LHCb physics programme and sets a new standard for real-time data processing at particle physics experiments.
