LHCb GPU acceleration project

Alexey Badalov; Daniel Hugo Cámpora Pérez; Niko Neufeld; Xavier Vilasís-Cardona

doi:10.1088/1748-0221/11/01/P01001

LHCb GPU acceleration project

Alexey Badalov^*, Daniel Hugo Cámpora Pérez, Niko Neufeld, Xavier Vilasís-Cardona

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100 GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb's existing computation pipelines with massively parallel algorithms running on GPUs and other accelerators. This paper describes the system and analyzes its performance.

Original language	English
Article number	P01001
Number of pages	15
Journal	Journal of Instrumentation
Volume	11
Issue number	01
DOIs	https://doi.org/10.1088/1748-0221/11/01/P01001
Publication status	Published - 1 Jan 2016
Externally published	Yes

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10.1088/1748-0221/11/01/P01001Licence: CC BY

http://stacks.iop.org/1748-0221/11/i=01/a=P01001?key=crossref.f7d8faf4c7327aff476ba03642ea2733

Cite this

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title = "LHCb GPU acceleration project",

abstract = "The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100 GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb's existing computation pipelines with massively parallel algorithms running on GPUs and other accelerators. This paper describes the system and analyzes its performance.",

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AU - Cámpora Pérez, Daniel Hugo

AU - Neufeld, Niko

AU - Vilasís-Cardona, Xavier

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U2 - 10.1088/1748-0221/11/01/P01001

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LHCb GPU acceleration project

Abstract

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