Aaij R, Albrecht J, Belous M, Billoir P, Boettcher T, Brea Rodríguez A, Vom Bruch D, Cámpora Pérez D H, Casais Vidal A, Craik D C, Fernandez Declara P, Funke L, Gligorov V V, Jashal B, Kazeev N, Martínez Santos D, Pisani F, Pliushchenko D, Popov S, Quagliani R, Rangel M, Reiss F, Sánchez Mayordomo C, Schwemmer R, Sokoloff M, Stevens H, Ustyuzhanin A, Vilasís Cardona X, Williams M
Nikhef National Institute for Subatomic Physics, Amsterdam, The Netherlands.
Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany.
Comput Softw Big Sci. 2020;4(1):7. doi: 10.1007/s41781-020-00039-7. Epub 2020 Apr 30.
We describe a fully GPU-based implementation of the first level trigger for the upgrade of the LHCb detector, due to start data taking in 2021. We demonstrate that our implementation, named Allen, can process the 40 Tbit/s data rate of the upgraded LHCb detector and perform a wide variety of pattern recognition tasks. These include finding the trajectories of charged particles, finding proton-proton collision points, identifying particles as hadrons or muons, and finding the displaced decay vertices of long-lived particles. We further demonstrate that Allen can be implemented in around 500 scientific or consumer GPU cards, that it is not I/O bound, and can be operated at the full LHC collision rate of 30 MHz. Allen is the first complete high-throughput GPU trigger proposed for a HEP experiment.
我们描述了一种基于GPU的完整一级触发实现方案，用于升级将于2021年开始采集数据的大型强子对撞机底夸克实验（LHCb）探测器。我们证明，我们名为艾伦（Allen）的实现方案能够处理升级后的LHCb探测器40太比特/秒的数据速率，并执行各种各样的模式识别任务。这些任务包括寻找带电粒子的轨迹、寻找质子 - 质子碰撞点、将粒子识别为强子或μ子，以及寻找长寿命粒子的衰变顶点。我们进一步证明，艾伦方案可以在大约500块科研或消费级GPU卡上实现，它不受I/O限制，并且可以以30兆赫兹的LHC完整碰撞速率运行。艾伦是为高能物理实验提出的首个完整的高通量GPU触发方案。
