تقرير
GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider
العنوان: | GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider |
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المؤلفون: | Lujan, P., Halyo, V., Hunt, A., Jindal, P., LeGresley, P. |
سنة النشر: | 2013 |
المجموعة: | High Energy Physics - Experiment Physics (Other) |
مصطلحات موضوعية: | Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Physics - Computational Physics |
الوصف: | At the Large Hadron Collider (LHC), the trigger systems for the detectors must be able to process a very large amount of data in a very limited amount of time, so that the nominal collision rate of 40 MHz can be reduced to a data rate that can be stored and processed in a reasonable amount of time. This need for high performance places very stringent requirements on the complexity of the algorithms that can be used for identifying events of interest in the trigger system, which potentially limits the ability to trigger on signatures of various new physics models. In this paper, we present an alternative tracking algorithm, based on the Hough transform, which avoids many of the problems associated with the standard combinatorial track finding currently used. The Hough transform is also well-adapted for Graphics Processing Unit (GPU)-based computing, and such GPU-based systems could be easily integrated into the existing High-Level Trigger (HLT). This algorithm offers the ability to trigger on topological signatures of new physics currently not practical to reconstruct, such as events with jets or black holes significantly displaced from the primary vertex. This paper presents, for the first time, an implementation and preliminary performance results using NVIDIA Tesla C2075 and K20c GPUs. Comment: 5 pages, 3 figures. Submitted to proceedings of the 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP2013), Amsterdam |
نوع الوثيقة: | Working Paper |
DOI: | 10.1088/1742-6596/513/1/012019 |
URL الوصول: | http://arxiv.org/abs/1311.2769 |
رقم الأكسشن: | edsarx.1311.2769 |
قاعدة البيانات: | arXiv |
DOI: | 10.1088/1742-6596/513/1/012019 |
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