A GPU offloading mechanism for LHCb

Alexey Badalov; Daniel Hugo Campora Perez; Alexander Zvyagin; Niko Neufeld; Xavier Vilasis Cardona

doi:10.1088/1742-6596/513/5/052004

A GPU offloading mechanism for LHCb

Alexey Badalov, Daniel Hugo Campora Perez, Alexander Zvyagin, Niko Neufeld, Xavier Vilasis Cardona

La Salle International School of Commerce and Digital Economy

Research output: Indexed journal article › Conference article › peer-review

Abstract

The current computational infrastructure at LHCb is designed for sequential execution. It is possible to make use of modern multi-core machines by using multi-threaded algorithms and running multiple instances in parallel, but there is no way to make efficient use of specialized massively parallel hardware, such as graphical processing units and Intel Xeon/Phi. We extend the current infrastructure with an out-of-process computational server able to gather data from multiple instances and process them in large batches.

Original language	English
Article number	052004
Journal	Journal of Physics: Conference Series
Volume	513
Issue number	TRACK 5
DOIs	https://doi.org/10.1088/1742-6596/513/5/052004
Publication status	Published - 2014
Event	20th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2013 - Amsterdam, Netherlands Duration: 14 Oct 2013 → 18 Oct 2013

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10.1088/1742-6596/513/5/052004

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title = "A GPU offloading mechanism for LHCb",

abstract = "The current computational infrastructure at LHCb is designed for sequential execution. It is possible to make use of modern multi-core machines by using multi-threaded algorithms and running multiple instances in parallel, but there is no way to make efficient use of specialized massively parallel hardware, such as graphical processing units and Intel Xeon/Phi. We extend the current infrastructure with an out-of-process computational server able to gather data from multiple instances and process them in large batches.",

author = "Alexey Badalov and Perez, {Daniel Hugo Campora} and Alexander Zvyagin and Niko Neufeld and Cardona, {Xavier Vilasis}",

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AU - Perez, Daniel Hugo Campora

AU - Zvyagin, Alexander

AU - Neufeld, Niko

AU - Cardona, Xavier Vilasis

PY - 2014

Y1 - 2014

N2 - The current computational infrastructure at LHCb is designed for sequential execution. It is possible to make use of modern multi-core machines by using multi-threaded algorithms and running multiple instances in parallel, but there is no way to make efficient use of specialized massively parallel hardware, such as graphical processing units and Intel Xeon/Phi. We extend the current infrastructure with an out-of-process computational server able to gather data from multiple instances and process them in large batches.

AB - The current computational infrastructure at LHCb is designed for sequential execution. It is possible to make use of modern multi-core machines by using multi-threaded algorithms and running multiple instances in parallel, but there is no way to make efficient use of specialized massively parallel hardware, such as graphical processing units and Intel Xeon/Phi. We extend the current infrastructure with an out-of-process computational server able to gather data from multiple instances and process them in large batches.

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DO - 10.1088/1742-6596/513/5/052004

M3 - Conference article

AN - SCOPUS:84903639277

SN - 1742-6588

VL - 513

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - TRACK 5

M1 - 052004

T2 - 20th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2013

Y2 - 14 October 2013 through 18 October 2013

ER -

A GPU offloading mechanism for LHCb

Abstract

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