Performance study of GPUs in real-time trigger applications for HEP experiments

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Graphical Processing Units (GPUs) have evolved into highly parallel, multi-threaded, multicore powerful processors with high memory bandwidth. GPUs are used in a variety of intensive computing applications. The combination of highly parallel architecture and high memory bandwidth makes GPUs a potentially promising technology for effective real-time processing for High Energy Physics (HEP) experiments. However, not much is known of their performance in real-time applications that require low latency, such as the trigger for HEP experiments. We describe an R and D project with the goal to study the performance of GPU technology for possible low latency applications, performing basic operations ... continued below

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7 pages

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Ketchum, W.; U., /Chicago; Amerio, S.; /INFN, Padua; Bastieri, D.; Bauce, M. et al. June 1, 2011.

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Graphical Processing Units (GPUs) have evolved into highly parallel, multi-threaded, multicore powerful processors with high memory bandwidth. GPUs are used in a variety of intensive computing applications. The combination of highly parallel architecture and high memory bandwidth makes GPUs a potentially promising technology for effective real-time processing for High Energy Physics (HEP) experiments. However, not much is known of their performance in real-time applications that require low latency, such as the trigger for HEP experiments. We describe an R and D project with the goal to study the performance of GPU technology for possible low latency applications, performing basic operations as well as some more advanced HEP lower-level trigger algorithms (such as fast tracking or jet finding). We present some preliminary results on timing measurements, comparing the performance of a CPU versus a GPU with NVIDIA's CUDA general-purpose parallel computing architecture, carried out at CDF's Level-2 trigger test stand. These studies will provide performance benchmarks for future studies to investigate the potential and limitations of GPUs for real-time applications in HEP experiments.

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7 pages

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  • Presented at 2nd International Conference on Technology and Instrumentation in Particle Physics 2011: TIPP 2011, Chicago, Illinois, 9-14 Jun 2011

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  • Report No.: FERMILAB-CONF-11-710-PPD
  • Grant Number: AC02-07CH11359
  • Office of Scientific & Technical Information Report Number: 1038546
  • Archival Resource Key: ark:/67531/metadc841068

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  • June 1, 2011

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  • May 19, 2016, 3:16 p.m.

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  • Aug. 29, 2016, 2:41 p.m.

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Ketchum, W.; U., /Chicago; Amerio, S.; /INFN, Padua; Bastieri, D.; Bauce, M. et al. Performance study of GPUs in real-time trigger applications for HEP experiments, article, June 1, 2011; Batavia, Illinois. (digital.library.unt.edu/ark:/67531/metadc841068/: accessed June 25, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.