GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger

被引：7
|
作者：
Emeliyanov, D. [1 ]
Howard, J. [2 ]
机构：
[1] STFC Rutherford Appleton Lab, Harwell Sci & Innovat Campus, Didcot, Oxon, England
[2] Univ Oxford, Oxford OX1 2JD, England
来源：
INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS 2012 (CHEP2012), PTS 1-6 | 2012年 / 396卷
关键词：
D O I：
10.1088/1742-6596/396/1/012018
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Results on the performance and viability of data-parallel algorithms on Graphics Processing Units(GPUs)in the ATLAS Leve l2 trigger system are presented. We describe the existing trigger data preparation and track reconstruction algorithms, motivation for their optimization,GPU-parallelized versions of these algorithms,and a\client-server"solution for hybrid CPU/GPU event processing used for integration of the GPU-oriented algorithms into existing ATLAS trigger software.There sulting speed-up of event processing times obtained with high-luminosity simulated data is presented and discussed.
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页数：9
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